CN110048421A - Capacity of energy storing device selection method and device - Google Patents
Capacity of energy storing device selection method and device Download PDFInfo
- Publication number
- CN110048421A CN110048421A CN201910438088.8A CN201910438088A CN110048421A CN 110048421 A CN110048421 A CN 110048421A CN 201910438088 A CN201910438088 A CN 201910438088A CN 110048421 A CN110048421 A CN 110048421A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- capacity
- storage device
- maximum
- optional
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000010187 selection method Methods 0.000 title claims abstract description 30
- 238000004146 energy storage Methods 0.000 claims abstract description 373
- 230000005611 electricity Effects 0.000 claims abstract description 90
- 238000005553 drilling Methods 0.000 claims abstract description 38
- 239000002245 particle Substances 0.000 claims description 20
- 238000005457 optimization Methods 0.000 claims description 18
- 238000004422 calculation algorithm Methods 0.000 claims description 15
- 238000003860 storage Methods 0.000 claims description 13
- 230000008901 benefit Effects 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 7
- 230000001052 transient effect Effects 0.000 claims description 5
- 230000009286 beneficial effect Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 23
- 230000006870 function Effects 0.000 description 14
- 230000007774 longterm Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000036642 wellbeing Effects 0.000 description 6
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 4
- 230000008859 change Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000013486 operation strategy Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 102000020897 Formins Human genes 0.000 description 1
- 108091022623 Formins Proteins 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000002939 conjugate gradient method Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The embodiment of the present invention provides a kind of capacity of energy storing device selection method and device.Wherein, method includes: to obtain the historical load data and history electricity price data of each metering period, according to the historical load data and history electricity price data of the earnings pattern, each metering period pre-established, the maximum energy storage income of each metering period after the energy storage device that each optional capacity is added is obtained respectively；For each optional capacity, according to the maximum energy storage income of each metering period after the energy storage device that optional capacity is added, the maximum total revenue over the years after the energy storage device of optional capacity is added in acquisition, and obtains the totle drilling cost for disposing the energy storage device of optional capacity；According to the totle drilling cost of maximum total revenue and the energy storage device for disposing each optional capacity over the years after the energy storage device that each optional capacity is added, an optional capacity alternatively result is selected according to preset condition.Capacity of energy storing device selection method provided in an embodiment of the present invention and device can obtain more accurate Capacity Selection result.
Description
Technical field
The present invention relates to technical field of electric power, more particularly, to a kind of capacity of energy storing device selection method and device.
Background technique
Energy storage device is widely used in power generation, power transmission and distribution and user side field in electric system.Energy storage device in power grid
Access, either all played a crucial role in terms of peak load shifting or Electric Power Network Planning development.User side access storage
Energy device can reduce the capacity that power distribution network side mark is drawn, and reduce demand charge and the electricity electricity charge of user, reinforce the reliable of power supply
Property.Energy storage device serves primarily in electricity bill control, helps user to reduce demand charge and the electricity electricity charge, reduces demand charge with this
Total expenditure.User side energy storage device mode present in power grid serves as load operation mode (charging) and serves as generator
Two kinds of forms of the method for operation (electric discharge).Under normal circumstances, user side energy storage device be in load valley in a manner of load operation
Operation, at peak with the operation of the generator method of operation.Due to the presence of time-of-use tariffs, user side energy storage device can be in difference
Period carries out charge and discharge electricity operation, is paid with reducing expense of the user for power purchase.
The profit model of user side energy storage at present includes peak valley price spread arbitrage, electrical capacity charge management, Demand Side Response, improves confession
Electric reliability etc., wherein peak valley price spread arbitrage is the main profit model of most users side energy storage project, and peak valley price differential is by ground
Domain and policy implication are larger.Time-of-use tariffs policy guides user to play an active part in electricity needs response, Yong Huhui by lever of price
Actively selection lacks electricity consumption in electricity price peak period in electricity price low-valley interval Multifunctional electric, plays the role of peak load shifting, reduces electric power tune
Peak demand.
For the functional evaluation of user side energy storage device access, generally the economic well-being of workers and staff after it is accessed is assessed, with
This superiority to evaluate energy storage device.Selection to capacity of energy storing device is generally basede on the energy storage device of access different capabilities
Generated economic well-being of workers and staff afterwards.It is closely contacted however, the operation reserve of economic well-being of workers and staff and energy storage device has, only works as energy storage
When the operation reserve of device is optimal, the income generated can be only achieved maximum.It is long that the prior art can not obtain energy storage device
The optimized operation strategy of phase, and it is daily to assess generally by the optimized operation strategy for obtaining typical 24 hours energy storage devices
Economic well-being of workers and staff, to obtain the assessment result of long-term (such as 1 year or several years) economic well-being of workers and staff.Therefore, the typical case that the prior art obtains
24 hours optimized operation strategies may be locally optimal plan, rather than overall optimal solution, lead to the long-term warp obtained
The accuracy of the assessment result for income of helping is poor, and then leads to not select suitable capacity of energy storing device, causes energy storage device
The economic well-being of workers and staff actually generated is unable to reach the expected and wasting of resources.
Summary of the invention
The embodiment of the present invention provides a kind of capacity of energy storing device selection method and device, to solve or at least partly
Solve the lower defect of accuracy of existing capacity of energy storing device selection method.
In a first aspect, the embodiment of the present invention provides a kind of capacity of energy storing device selection method, comprising:
The historical load data and history electricity price data for obtaining each metering period, according to pre-establish earnings pattern, institute
The historical load data and history electricity price data of each metering period are stated, is obtained after the energy storage device of each optional capacity is added respectively
The maximum energy storage income of each metering period；
For each optional capacity, according to the maximum energy storage of each metering period after the energy storage device that the optional capacity is added
Income, the maximum total revenue over the years after obtaining the energy storage device that the optional capacity is added, and obtain the deployment optional capacity
Energy storage device totle drilling cost；
According to the maximum total revenue over the years after the energy storage device that each optional capacity is added and dispose it is each it is described can
The totle drilling cost for selecting the energy storage device of capacity selects an optional capacity alternatively result according to preset condition；
Wherein, the earnings pattern using maximize be added energy storage device after each metering period energy storage income as target；
The energy storage income includes demand charge income and electricity electricity charge income.
Preferably, it according to the earnings pattern, the historical load data of each metering period and history electricity price data, obtains
The specific steps for taking the maximum energy storage income of each metering period after the energy storage device that each optional capacity is added include:
Any metering period after energy storage device for any optional capacity is added, is obtained according to any optional capacity
Initial maximum power and maximum charge and discharge duration are taken, according to the initial maximum power and maximum charge and discharge duration, obtains and is added
The minimum value of the maximum actual load of any metering period after energy storage device, so that the requirement electricity of any metering period
Take Income Maximum；
Using the minimum value of the maximum actual load of any metering period after the addition energy storage device as the receipts
The initialization condition of beneficial model obtains energy storage dress in any metering period according to particle swarm algorithm and the earnings pattern
The time series for the charge-discharge electric power set, so that the energy storage Income Maximum of any metering period；
According to the time series of the charge-discharge electric power of energy storage device in any metering period, it is described any to obtain addition
The maximum energy storage income of any metering period after the energy storage device of optional capacity.
Preferably, according to particle swarm algorithm and the earnings pattern, energy storage device in any metering period is obtained
The time series of charge-discharge electric power, so that the specific steps of the energy storage Income Maximum of any metering period include:
If judgement knows that the result for carrying out last iteration according to particle swarm algorithm is in local convergence, change to the last time
The result in generation optimizes, so that the remaining capacity of the start time point energy storage device of the unit time of optimization front and back local convergence
Identical, end time point energy storage device remaining capacity is identical, and the load after energy storage device is added in the unit time not
More than the minimum value of the maximum actual load of any metering period after the addition energy storage device；
Current iteration is carried out according to the result of the last iteration after optimization.
Preferably, described according to the specific of any optional procurement of reserve capacity initial maximum power and maximum charge and discharge duration
Step includes:
According to any optional procurement of reserve capacity initial maximum power and initial maximum charge and discharge duration；The initial maximum
The product of power and the initial maximum charge and discharge duration is equal to any optional capacity；
It is corresponding according to the initial maximum charge and discharge duration, preset year attenuation rate and any metering period
The year of energy storage device is added, obtains the maximum charge and discharge duration.
Preferably for each optional capacity, according to each metering period after the energy storage device that the optional capacity is added
The specific steps of maximum energy storage income, the maximum total revenue over the years after obtaining the energy storage device that the optional capacity is added include:
According to the maximum energy storage income of each metering period after the energy storage device that the optional capacity is added, obtain described in being added
Annual maximum return after the energy storage device of optional capacity；
By the sum of maximum return annual after the energy storage device that the optional capacity is added, as obtaining, addition is described optional
Maximum total revenue over the years after the energy storage device of capacity.
Preferably, the maximum energy storage income according to each metering period after the energy storage device that the optional capacity is added,
The specific steps of annual maximum return include: after the energy storage device of the acquisition addition optional capacity
Obtain the energy storage dress that the optional capacity is added in each year after energy storage device for the optional capacity is added
Postpone the average value of the maximum energy storage income for each metering period that each year includes；
The product of the quantity for the metering period for including by the average value and each year, as the addition optional appearance
The each year maximum return after the energy storage device of amount.
Preferably for each optional capacity, the specific of the totle drilling cost for disposing the energy storage device of the optional capacity is obtained
Step includes:
According to the cost of unit capacity and the optional capacity, the assembly for disposing the energy storage device of the optional capacity is obtained
This.
Second aspect, the embodiment of the present invention provide a kind of capacity of energy storing device selection device, comprising:
Metering period income obtains module, for obtaining the historical load data and history electricity price data of each metering period,
According to the historical load data and history electricity price data of the earnings pattern, each metering period pre-established, obtains add respectively
Enter the maximum energy storage income of each metering period after the energy storage device of each optional capacity；
Total revenue totle drilling cost obtains module, is used for for each optional capacity, according to the energy storage that the optional capacity is added
The maximum energy storage income of each metering period after device, the maximum after obtaining the energy storage device that the optional capacity is added always are received over the years
Benefit, and obtain the totle drilling cost for disposing the energy storage device of the optional capacity；
Capacity of energy storing device selecting module, for according to the most great calendar after the energy storage device that each optional capacity is added
Year total revenue and dispose each optional capacity energy storage device totle drilling cost, an optional capacity is selected according to preset condition
Alternatively result；
Wherein, the earnings pattern using maximize be added energy storage device after each metering period energy storage income as target；
The energy storage income includes demand charge income and electricity electricity charge income.
The third aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, realizes the various possible realizations such as first aspect when executing described program
In mode the step of capacity of energy storing device selection method provided by any possible implementation.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program, when which is executed by processor realize as first aspect various possible implementations in it is any can
The step of capacity of energy storing device selection method provided by the implementation of energy.
Capacity of energy storing device selection method provided in an embodiment of the present invention and device, by obtaining so that user side obtains often
The time series of the charge-discharge electric power of energy storage device, is added in the metering period of the maximum energy storage income of one metering period
The maximum energy storage income of each metering period after the energy storage device of each optional capacity can obtain more accurate each metering period most
Big energy storage income and long-term gain (maximum total revenue over the years), so as to select more suitable capacity of energy storing device, select and more accord with
Share the capacity of energy storing device of the demand at family.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram according to capacity of energy storing device selection method provided in an embodiment of the present invention；
Fig. 2 is the structural schematic diagram according to capacity of energy storing device selection device provided in an embodiment of the present invention；
Fig. 3 is the entity structure schematic diagram according to electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
In order to overcome the above problem of the prior art, the embodiment of the present invention provide a kind of capacity of energy storing device selection method and
Device, inventive concept are, it is assumed that energy storage device is added in user side in a certain historical juncture, historical load is based on, by obtaining
After taking user side that energy storage device is added, under conditions of meeting constraint, all the period of time of energy storage device (entire metering period rather than count
Take certain time in the period) operation reserve, the maximum total revenue over the years of different stored energy capacitances is obtained, thus according to different optional
The maximum of the energy storage device of capacity total revenue over the years and deployment totle drilling cost, select the energy storage device of suitable capacity, can be current
User side is added in a certain moment in moment or future.
Fig. 1 is the flow diagram according to capacity of energy storing device selection method provided in an embodiment of the present invention.Such as Fig. 1 institute
Show, this method comprises: step S101, obtain the historical load data and history electricity price data of each metering period, according to building in advance
The historical load data and history electricity price data of vertical earnings pattern, each metering period obtain each optional capacity is added respectively
Energy storage device after each metering period maximum energy storage income.
Wherein, earnings pattern using maximize be added energy storage device after each metering period energy storage income as target；Energy storage
Income includes demand charge income and electricity electricity charge income.
Specifically, energy storage income refers to the electric cost expenditure of reduction after energy storage device is added in user side.
For j-th of metering period (referred to as " j-th of metering period ") after addition energy storage device, energy storage income is requirement
Electricity charge income S1With electricity electricity charge income S2The sum of, it is denoted as Rj。
Rj=S1+S2
Demand charge refers to the electricity charge according to the maximum actual load metering in metering period.Therefore, demand charge income
S1, to reduce the income that the maximum actual load in metering period obtains by the way that energy storage device is added.
The electricity electricity charge refer to the electricity charge according to the electricity consumption total amount metering in metering period.Due to being pressed for the existing load in side
It charges according to demand charge mode, therefore, can rationally be obtained using electricity price between peak and valley by controlling the charge and discharge of energy storage device
Electricity electricity charge income S2。
For j-th of metering period, energy storage device all the period of time in the metering period can consider the meter under charge status
Take the influence of all the period of time historical load and energy storage device charge-discharge electric power in the period, demand charge income S1With electricity electricity charge income
S2Calculation formula be respectively
S1=[max (Pi d)-max(Pi d-Pi b)] α, i ∈ (1,2,3 ..., m)
Wherein, Pi bIndicate the electric discharge of the i-th moment energy storage device in the metering period, charge power (referred to as " charge and discharge electric work
Rate "), unit can be kW, Pi b> 0 indicates energy storage device electric discharge, Pi b< 0 indicates energy storage device charging；α indicates demand charge
Unit price, unit is member/kW, such as the value of α can be 38 yuan/kW；Pi dIndicate the i-th moment user in the metering period
The historical load (referred to as " historical load ") of side；eiIndicate that the unit price of the electricity electricity charge at the i-th moment, unit are member/kW
h；M indicates total moment number in metering period.
Metering period is generally the moon；The time interval between the two neighboring moment in metering period is generally 15 minutes.
For example, time interval is m=24 × 4 × 30=2880 for hour using metering period as the moon (in terms of 30 days).
It should be noted that the unit price of the electricity electricity charge is tou power price, i.e. time-of-use tariffs.
For j-th of metering period, earnings pattern is to maximize energy storage income RjFor target, the objective function of earnings pattern
For max (Rj)。
It should be noted that the capacity of energy storage device is related with historical load maximum value, the capacity limit of energy storage device
The charge-discharge electric power and duration of energy storage device, therefore, for each optional capacity, according to the historical load number of each metering period
The charge and discharge electric work of energy storage device in the metering period is obtained to earnings pattern progress optimization according to history electricity price data
The time series of rate and the maximum energy storage income that the metering period after the energy storage device of the optional capacity is added.Energy storage device is at this
Charge and discharge are carried out with the time series of the charge-discharge electric power of energy storage device in the metering period of above-mentioned acquisition in metering period, are used
Family side can obtain the maximum energy storage income of the metering period after the energy storage device of the above-mentioned addition optional capacity.
Step S102, for each optional capacity, most according to each metering period after the energy storage device that optional capacity is added
Big energy storage income, the maximum total revenue over the years after obtaining the energy storage device that optional capacity is added, and obtain the optional capacity of deployment
The totle drilling cost of energy storage device.
Specifically, for each optional capacity, after obtaining the energy storage device that the optional capacity is added, each metering period is most
After big energy storage income, it can be obtained according to the maximum energy storage income of each metering period after the energy storage device that the optional capacity is added
The maximum total revenue of the energy storage device of the addition optional capacity so far is taken, as maximum total revenue over the years.
Since energy storage device can generally consider long-term income, such as the income of many years with longtime running and higher cost.
It, can be directly by each meter according to the maximum energy storage income of each metering period after the energy storage device that the optional capacity is added
The maximum energy storage income summation for taking the period, obtains the energy storage device maximum total revenue so far that the optional capacity is added, can also be with
It is handled using maximum energy storage income of any suitable data processing method to each metering period, to obtain addition, this can
Select the maximum total revenue of the energy storage device of capacity so far.In this regard, the embodiment of the present invention is not specifically limited.
For each optional capacity, the assembly of the energy storage device of the optional capacity can be disposed according to the optional procurement of reserve capacity
This.
Step S103, according to after the energy storage device that each optional capacity is added maximum total revenue over the years and deployment is each can
The totle drilling cost for selecting the energy storage device of capacity selects an optional capacity alternatively result according to preset condition.
Specifically, can according to preset condition, the maximum total revenue over the years that is added after the energy storage device of each optional capacity
With the totle drilling cost for the energy storage device for disposing each optional capacity, select an optional capacity as energy storage device from each optional capacity
The result of Capacity Selection.
Can preset condition determine according to actual needs, such as: the net profit of fixed time limit (such as 10 years) (refers to maximum
Total revenue over the years subtracts totle drilling cost) maximum, fixed time limit earning rate is maximum or most fast realize is got a profit, the embodiment of the present invention pair
Default rule is not specifically limited.
The embodiment of the present invention is by obtaining so that user side obtains the charging of the maximum energy storage income of each metering period
The time series of the charge-discharge electric power of energy storage device in period obtains each charging week after the energy storage device that each optional capacity is added
The maximum energy storage income of phase, maximum energy storage income and the long-term gain that can obtain more accurate each metering period are (maximum over the years total
Income), so as to select more suitable capacity of energy storing device, select the capacity of energy storing device for more meeting the demand of user.
Content based on the various embodiments described above, according to earnings pattern, the historical load data of each metering period and history electricity
Valence mumber evidence obtains the specific steps packet of the maximum energy storage income of each metering period after the energy storage device that each optional capacity is added
It includes: any metering period after energy storage device for any optional capacity is added, initially most according to any optional procurement of reserve capacity
High-power and maximum charge and discharge duration obtains and energy storage device successor is added according to initial maximum power and maximum charge and discharge duration
The minimum value of the maximum actual load of one metering period, so that the demand charge Income Maximum of any metering period.
Specifically, for any optional capacity Wmax, in order to obtain the maximum energy storage income of j-th of metering period, first obtain
The minimum value of the maximum actual load DCT of any metering period after addition energy storage device, so that the requirement electricity of the metering period
Take Income Maximum.
It is understood that if the historical load at the i-th moment is P in the metering periodi d, due to joined energy storage device,
The charge-discharge electric power at the i-th moment of energy storage device is Pi b, therefore, after energy storage device is added, the actual load of the i-th moment user side is
Pi d-Pi b.Due to Pi dBe it is determining, the capacity of energy storage device is WmaxIt is also determination, passes through and optimize available max (Pi d-
Pi b) minimum value, as DCT=max (Pi d-Pi b) when taking above-mentioned minimum value, demand charge income S1It is maximum.
Obtain minimum DCT objective function for min (DCT | Pd,Pmax,Hmax,n)。
Wherein,Indicate the time series of the historical load of the metering period；
PmaxIndicate initial maximum power；Hmax,nIndicate maximum charge and discharge duration；N indicates that the metering period belongs to and optional capacity is added
1 year after energy storage device.
Initial maximum power Pmax(not considering that positive and negative values respectively indicate electric discharge, charging, only take absolute value), refers to energy storage device
Rated power, the 10~40% of generally maximum historical load；Maximum charge and discharge duration refers to energy storage device in initial maximum function
The maximum time to charge under rate.
The capacity limit of the energy storage device charge-discharge electric power and duration of energy storage device, therefore, according to optional capacity WmaxIt can
To obtain several groups initial maximum power and maximum charge and discharge duration.When according to every group of initial maximum power and maximum charge and discharge
It is long, the minimum value of DCT can be obtained respectively.
There are two the constraint conditions for obtaining minimum DCT, and constraint condition 1 is that the maximum charge-discharge electric power greater than DCT cannot surpass
Cross Pmax；Constraint condition 2 is the initial residual electricity of any one discharge process (peak clipping) and terminates remaining capacity no more than
The limitation of optional capacity.
It is understood that the value range of DCT is min (Pd) to max (Pd) between.Wherein, min (Pd) refer to P1 d,
P2 d,…,Pi d,…,In minimum value, max (Pd) refer to P1 d,P2 d,…,Pi d,…,In maximum value.
The arithmetic logic of objective function for obtaining minimum DCT includes:
Calculate DCT and max (Pd) between start-stop point and required discharge capacity；
Maximum residual electricity before calculating electric discharge, can the maximum residual electricity that charges at full capacity of charge period；
Calculate the remaining capacity after impulse discharge process.
For obtaining the objective function of minimum DCT, need first to be initialized.When initialization is, by PdAverage value (i.e.
P1 d,P2 d,…,Pi d,…,Average value) as input, if above-mentioned two constraint condition is all satisfied, output valve is equal to
Input value；If any of above-mentioned two constraint condition is unsatisfactory for, addition is beyond above-mentioned two on former objective function
The penalty term of constraint condition, to export an output valve bigger than input value.
According to the objective function after initialization, the minimum value of DCT can be obtained using conjugate gradient method, it is as optimal
DCT。
Using the minimum value of the maximum actual load of any metering period after addition energy storage device as the initial of earnings pattern
Change condition obtains the time of the charge-discharge electric power of energy storage device in any metering period according to particle swarm algorithm and earnings pattern
Sequence, so that the energy storage Income Maximum of any metering period.
Specifically, for any metering period, the minimum value for the DCT that above-mentioned steps are obtained is as the initial of earnings pattern
Change condition.
It is understood that the initialization condition of earnings pattern further includesIt does not fill
Electricity does not also discharge.
For j-th of metering period (belonging to 1 year after energy storage device is added), earnings pattern is to maximize energy storage income
RjFor target, the objective function of earnings pattern is max (Rj)。
Primary condition is to assume that the electricity of 0 moment energy storage device has been expired.
SOC0=Wn=Pmax×hmax,n
Wherein, SOC0Indicate energy storage device in the electricity at 0 moment of metering period；WnIndicate energy storage device in charging week
The actual capacity of phase.
The optimal solution of earnings pattern, the charge and discharge to energy storage device in the metering period can be obtained using particle swarm algorithm
The time series of power optimizes, so that the energy storage Income Maximum of the metering period.
The constraint condition of earnings pattern include actual load constraint, remaining capacity (practical electricity, State of Charge,
Abbreviation SOC) it constrains and maximum power constraint.
Actual load constraint, refers to that actual load cannot be greater than load threshold value DCT in optimization process.In final result, requirement
Electricity charge income priority is higher than electricity electricity charge income priority.
Load threshold value
Remaining capacity constraint, refers to the remaining capacity SOC of any one moment i (the i-th moment) energy storage devicei(State of
Charge, abbreviation SOC) it will be in 0 and WnBetween, i.e.,
0 < SOCi≤Wn
SOC when energy storage device chargesi=SOCi-1-Pi bΔt
SOC when energy storage device dischargesi=SOCi-1-Pi bΔt
Wherein, the duration between Δ t two two neighboring moment of expression, generally 1 hour.
Maximum power constraint, refer to the maximum power of charge and discharge within the scope of the battery designs of energy storage device, i.e.-Pmax≤
Pi b≤Pmax。
Using any particle swarm algorithm (Particle Swarm Optimization, abbreviation PSO) to earnings pattern
Objective function carries out maximization solution, obtains P1 b,P2 b,…,Pi b,…,Optimal solution.By P1 b,P2 b,…,Pi b,…,Point
Not Zuo Wei particle, initial value is 0, and all particles have the optimal value determined by majorized function, while each particle
There is a speed to determine direction and the distance of its variation.
For example, coordinating evolution particle swarm algorithm can be used, other particle swarm algorithms, the embodiment of the present invention can also be used
This is not specifically limited.
Since earnings pattern contains Prescribed Properties, need that this is transformed into and is free of containing constrained model using penalty function method
The model of constraint carries out optimization.For penalty function method, any exterior penalty function method can be used.
In PSO searching process, it is always ensured that particle updates the constraint condition that point meets above-mentioned earnings pattern, to reduce in terms of
Calculate the search time in feasible zone.
According to the time series of the charge-discharge electric power of energy storage device in any metering period, obtains and any optional capacity is added
Energy storage device after any metering period maximum energy storage income.
Specifically, the time series for obtaining the charge-discharge electric power of energy storage device in the metering period, will be in the metering period
Time series, historical load data and the history electricity price data of the charge-discharge electric power of energy storage device substitute into the energy storage of the metering period
The calculation formula of income can be obtained the maximum energy storage income of the metering period.
Minimum value of the present aspect embodiment by the maximum actual load of first acquisition, fixed demand charge income are basic herein
Upper optimization electricity electricity charge income can obtain more accurate each metering period to obtain the maximum energy storage income of metering period
Maximum energy storage income and long-term gain (maximum total revenue over the years), so as to select more suitable capacity of energy storing device, are selected more
Meet the capacity of energy storing device of the demand of user.
Content based on the various embodiments described above obtains storage in any metering period according to particle swarm algorithm and earnings pattern
The time series of the charge-discharge electric power of energy device, if so that the specific steps of the energy storage Income Maximum of any metering period include:
Judgement knows that the result for carrying out last iteration according to particle swarm algorithm is in local convergence, then to the result of last iteration into
Row optimization, so that the remaining capacity of the start time point energy storage device of the unit time of optimization front and back local convergence is identical, terminates
The remaining capacity of time point energy storage device is identical, and the load being added after energy storage device in the unit time is no more than addition energy storage dress
Postpone the minimum value of the maximum actual load of any metering period；This is carried out according to the result of the last iteration after optimization to change
Generation.
Particle swarm algorithm includes successive ignition process, and the number of iteration is preset the number of iterations, is generally chosen as 20 times.
Specifically, due to being the optimization for carrying out all the period of time, the variable for carrying out optimization is more (such as when m=2880
Have 2880), the result of certain an iteration is likely to be at local convergence, can not continue iteration, but the result of local convergence for
It is not necessarily optimal for the overall situation.
Last iteration is carried out according to particle swarm algorithm, after the result for obtaining last iteration, judges that the last time changes
Whether the result in generation is in local convergence, if the total revenue difference of upper 2 iteration is less than preset value ε and can determine whether as local convergence；
If being not at, directly according to the result of last iteration by the P after iterationi bIt re-enters, carries out current iteration；
If being in, the result of last iteration is optimized using unit time optimisation strategy, specifically to unit
Income in time optimizes, and completes current iteration according to optimum results.
It should be noted that metering period includes multiple unit time, each unit time includes multiple moment.For example,
Metering period is the moon, and the time interval between the two neighboring moment is for hour, the unit time can be day.
For there are the P that local convergence result generates last iterationi bSequence is segment according to unit time cutting, for
Any one unit time segment, the basic principle of unit time optimisation strategy are to keep the unit time maximum actual load not
Minimum value more than the DCT that the step of before obtains, and keep in the result (charge-discharge electric power curve) of last iteration
SOC, the SOC of end time point energy storage device of the start time point energy storage device of the unit time are constant, to the unit time
The charge-discharge electric power at each moment optimizes.
Unit time optimization front and back, the integral of the unit time charge-discharge electric power curve is identical, illustrates any fractional unit
The SOC of time-optimized front and back, the end time point energy storage device of the segment is constant.
It is to guarantee that the optimum results of some any unit time do not influence other using the advantages of unit time optimisation strategy
Do not carry out that the step optimizes as a result, the local optimum of i.e. single unit time will not produce the constraint condition of earnings pattern
Raw conflict, thus before influencing iteration result validity.This strategy when multivariable (m=2880) optimizes it is possible to prevente effectively from fall into
Enter the defect of local optimum, while can significantly promote calculating speed.
The embodiment of the present invention can be obtained by optimize the iteration result when iteration result is local convergence
Globally optimal solution can obtain the time series of the charge-discharge electric power of all the period of time, so as to obtain more accurate each metering period
Maximum energy storage income and long-term gain (maximum total revenue over the years), can select more suitable capacity of energy storing device, select and more meet
The capacity of energy storing device of the demand of user.
Content based on the various embodiments described above, when according to any optional procurement of reserve capacity initial maximum power and maximum charge and discharge
Long specific steps include: according to any optional procurement of reserve capacity initial maximum power and initial maximum charge and discharge duration；Initially most
The high-power product with initial maximum charge and discharge duration is equal to any optional capacity.
It should be noted that initial maximum charge and discharge duration, refer to when disposing energy storage device for the first time, energy storage device is initially most
The high-power lower maximum time to charge.The product of initial maximum power and initial maximum charge and discharge duration is equal to optional appearance
Amount.
Specifically, for any optional capacity, several groups can be obtained initially most according to preset energy storage initial configuration table
High-power and initial maximum charge and discharge duration.Table 1 shows an example of energy storage initial configuration table.
1 energy storage initial configuration table of table
| Initial maximum power (kW) | Initial maximum charge and discharge duration (h) | Optional capacity (kWh) |
| 2 | 1 | 2 |
| 2 | 2 | 4 |
| 3 | 1 | 3 |
| … | … | … |
| 50 | 1 | 50 |
| 50 | 2 | 100 |
According to initial maximum charge and discharge duration, preset year attenuation rate and the corresponding addition energy storage of any metering period
The year of device obtains maximum charge and discharge duration.
Specifically, since energy storage device generally uses battery to carry out energy storage, the actual capacity of battery is with charge and discharge
The increase of number can generate decaying, and maximum charge and discharge duration can accordingly shorten.
The corresponding year that energy storage device is added of metering period refers to that the metering period belongs to the energy storage dress that optional capacity is added
Which postponed in year.
1 year each metering period for including after energy storage device for optional capacity is added, the maximum of the metering period
Charge and discharge duration Hmax,nCalculation formula be
Hmax,n=Hmax(1-η)n-1
Wherein, HmaxIndicate initial maximum charge and discharge duration；The preset year attenuation rate of η expression, generally 3% or so.
The embodiment of the present invention passes through initial maximum charge and discharge duration, preset year attenuation rate and the year that energy storage device is added
Number obtains the maximum charge and discharge duration in different charge period, it is contemplated that the decaying of battery performance can obtain more accurate maximum and fill
Electric discharge duration, so as to obtain the maximum energy storage income and long-term gain (maximum total receipts over the years of more accurate each metering period
Benefit), and more suitable capacity of energy storing device can be selected, select the capacity of energy storing device for more meeting the demand of user.
Content based on the various embodiments described above, for each optional capacity, after the energy storage device of optional capacity is added
The maximum energy storage income of each metering period, the specific step of the maximum total revenue over the years after obtaining the energy storage device that optional capacity is added
It suddenly include: to obtain and optional capacity is added according to the maximum energy storage income of each metering period after the energy storage device that optional capacity is added
Energy storage device after annual maximum return.
It should be noted that every year including multiple metering periods.
Each year after energy storage device for optional capacity is added, each metering period that can directly include by this year
Maximum energy storage income summation can also use any as the maximum return of this year after the energy storage device that the optional capacity is added
The suitable data processing method of kind handles the maximum energy storage income for each metering period that this year includes, and is somebody's turn to do with obtaining to be added
The maximum return of this year after the energy storage device of optional capacity.In this regard, the embodiment of the present invention is not specifically limited.
By the sum of maximum return annual after the energy storage device that optional capacity is added, as the storage for obtaining the optional capacity of addition
Maximum total revenue over the years after energy device.
Specifically, for each optional capacity, the energy storage device that the optional capacity is added has n so far, and optional appearance is added
The 1st year after the energy storage device of amount, the 2nd year to 1 year maximum return be respectively B1,B2,…,Bn, then the optional capacity is added
Maximum total revenue B over the years after energy storage device can be obtained by following formula:
B=B1+B2+…+Bn
The embodiment of the present invention by the maximum energy storage income according to each metering period after the energy storage device that optional capacity is added,
Annual maximum return after the energy storage device of the optional capacity of acquisition addition, and it is maximum over the years total according to annual maximum return acquisition
Income can obtain more accurate long-term gain (maximum total revenue over the years), and can select more suitable capacity of energy storing device, select
More meet the capacity of energy storing device of the demand of user.
Content based on the various embodiments described above is stored up according to the maximum of each metering period after the energy storage device that optional capacity is added
Can income, it includes: optional for being added for obtaining the specific steps of annual maximum return after the energy storage device that optional capacity is added
Obtain each metering period that each year after the energy storage device that optional capacity is added includes in each year after the energy storage device of capacity
The average value of maximum energy storage income；The product of the quantity for the metering period for including by average value and each year, it is optional as being added
Each year maximum return after the energy storage device of capacity.
It specifically, each year after the energy storage device for optional capacity is added, can be according to the storage that optional capacity is added
The maximum energy storage income for each metering period that this year includes after energy device is wrapped in the year after obtaining the energy storage device that optional capacity is added
The average value of the maximum energy storage income of each metering period included；The quantity phase for the metering period for including with this year by the average value
Multiply, obtains the maximum return of this year after the energy storage device that optional capacity is added.
For example, metering period is the moon, and each year after energy storage device for optional capacity is added, the maximum return of this year
Equal to 12 months maximum energy storage incomes in this year average value multiplied by 12.
The embodiment of the present invention is by wrapping the average value of the maximum energy storage income for each metering period for including every year with annual
The product of the quantity of the metering period included can be reduced the maximum energy storage income of each metering period as annual maximum return
Accumulated error, obtains the maximum return in more accurately each year, so that more accurate long-term gain (maximum total revenue over the years) is obtained,
And more suitable capacity of energy storing device can be selected, select the capacity of energy storing device for more meeting the demand of user.
Content based on the various embodiments described above obtains the energy storage device for disposing optional capacity for each optional capacity
The specific steps of totle drilling cost include: the cost and optional capacity according to unit capacity, obtain the energy storage device for disposing optional capacity
Totle drilling cost.
Specifically, since energy storage device generally uses battery to carry out energy storage, the lower deployment cost of the battery of different capabilities
Difference can obtain the totle drilling cost for disposing the energy storage device of optional capacity according to the following formula:
C1=Wmaxkw
Wherein, C1Indicate the totle drilling cost of the energy storage device of the optional capacity of deployment；WmaxIndicate optional capacity；kwIndicate energy storage dress
Set the cost of unit capacity, generally 1500~2000/ (first kWh).
Cost and optional capacity of the embodiment of the present invention by unit capacity, obtain the energy storage device for disposing optional capacity
Totle drilling cost can reflect the lower deployment cost of the energy storage device of different capabilities, more accurately dispose the total of energy storage device so as to obtain
Cost, to select more suitable capacity of energy storing device.
For the ease of the understanding to various embodiments of the present invention, it is illustrated below by an example.
Using the historical load data and history electricity charge data in certain business in January, 2018.Specially historical load number
According to temporal resolution (time interval between the two neighboring moment) be 1h, initial maximum power PmaxFor 500kW, initially most
Actual load after energy storage device is added in a length of 0.5h when big charge and dischargeFor 2533kW, the unit price α of demand charge is 44
Member/kW, the electricity electricity charge (the timesharing electricity charge) are as shown in table 2.
2 timesharing electricity charge table of table
| Moment | Price (member/kWh) |
| 0 | 0.2071 |
| 1 | 0.2071 |
| 2 | 0.2071 |
| 3 | 0.2071 |
| 4 | 0.2071 |
| 5 | 0.2071 |
| 6 | 0.2071 |
| 7 | 0.6172 |
| 8 | 0.6172 |
| 9 | 0.8959 |
| 10 | 0.8959 |
| 11 | 0.8959 |
| 12 | 0.5911 |
| 13 | 0.5911 |
| 14 | 0.8959 |
| 15 | 0.8959 |
| 16 | 0.5911 |
| 17 | 0.5911 |
| 18 | 0.5911 |
| 19 | 0.8959 |
| 20 | 0.8959 |
| 21 | 0.5911 |
| 22 | 0.5911 |
| 23 | 0.2071 |
The minimum value of the DCT of acquisition is 2397kW.
Using the prior art, the method for the time series for being suitable for the acquisition charge-discharge electric power of optimization in typical 24 hours is pushed away
Extensively by one month, the energy storage device SOC after optimization only shows 2 charge and discharge cycles a middle of the month.Illustrate the prior art not
It can obtain the result for meeting engineering experience.
It using method provided in an embodiment of the present invention, will appear 3 charge and discharge cycles daily, corresponded to the region and deposited daily
In 3 peak of power consumption price periods, meet engineering experience rule, and the utilization rate of energy storage device is higher, also complies with engineering warp
Test rule.
Therefore, compared with prior art, method provided in an embodiment of the present invention can obtain more preferably all the period of time energy storage device fortune
Row strategy, so as to obtain the maximum energy storage income and long-term gain (maximum total revenue over the years) of more accurate each metering period,
And more suitable capacity of energy storing device can be selected, select the capacity of energy storing device for more meeting the demand of user.
Fig. 2 is the structural schematic diagram according to capacity of energy storing device selection device provided in an embodiment of the present invention.Based on above-mentioned
The content of each embodiment, as shown in Fig. 2, the device includes that metering period income obtains module 201, total revenue totle drilling cost obtains mould
Block 202 and capacity of energy storing device selecting module 203, in which:
Metering period income obtains module 201, for obtaining the historical load data and history electricity price number of each metering period
According to according to the historical load data and history electricity price data of the earnings pattern, each metering period pre-established, acquisition is added respectively
The maximum energy storage income of each metering period after the energy storage device of each optional capacity；
Total revenue totle drilling cost obtains module 202, for being filled according to the energy storage that optional capacity is added for each optional capacity
The maximum energy storage income of each metering period is postponed, the maximum total revenue over the years after obtaining the energy storage device that optional capacity is added, and
Obtain the totle drilling cost for disposing the energy storage device of optional capacity；
Capacity of energy storing device selecting module 203, for according to the most great calendar after the energy storage device that each optional capacity is added
Year total revenue and dispose each optional capacity energy storage device totle drilling cost, according to preset condition select an optional capacity as
Selection result；
Wherein, earnings pattern using maximize be added energy storage device after each metering period energy storage income as target；Energy storage
Income includes demand charge income and electricity electricity charge income.
Specifically, for each optional capacity, metering period income obtains module 201 according to the history of each metering period
Load data and history electricity price data carry out optimization to earnings pattern, obtain filling for energy storage device in the metering period
The time series of discharge power and the maximum energy storage income that the metering period after the energy storage device of the optional capacity is added.Energy storage dress
It sets and is filled in the metering period with the time series of the charge-discharge electric power of energy storage device in the metering period of above-mentioned acquisition
Electric discharge, user side can obtain the maximum energy storage income of the metering period after the energy storage device of the above-mentioned addition optional capacity.
Total revenue totle drilling cost obtains module 202 for each optional capacity, obtains the energy storage device that the optional capacity is added
It, can be according to each metering period after the energy storage device that the optional capacity is added afterwards after the maximum energy storage income of each metering period
The maximum total revenue of the energy storage device of the optional capacity so far is added in maximum energy storage income, acquisition, as maximum total revenue over the years；
For each optional capacity, the totle drilling cost of the energy storage device of the optional capacity can be disposed according to the optional procurement of reserve capacity.
Capacity of energy storing device selecting module 203 can according to preset condition, the energy storage device of each optional capacity is added after
Maximum total revenue over the years and dispose each optional capacity energy storage device totle drilling cost, selected from each optional capacity one it is optional
The result that capacity is selected as capacity of energy storing device.
Capacity of energy storing device selection device provided in an embodiment of the present invention is provided for executing the various embodiments described above of the present invention
Capacity of energy storing device selection method, each module which includes realizes the specific side of corresponding function
Method and process are detailed in the embodiment of above-mentioned capacity of energy storing device selection method, and details are not described herein again.
The capacity of energy storing device selection device is used for the capacity of energy storing device selection method of foregoing embodiments.Therefore, exist
The description and definition in capacity of energy storing device selection method in foregoing embodiments, can be used in the embodiment of the present invention respectively holding
The understanding of row module.
The embodiment of the present invention is by obtaining so that user side obtains the charging of the maximum energy storage income of each metering period
The time series of the charge-discharge electric power of energy storage device in period obtains each charging week after the energy storage device that each optional capacity is added
The maximum energy storage income of phase, maximum energy storage income and the long-term gain that can obtain more accurate each metering period are (maximum over the years total
Income), so as to select more suitable capacity of energy storing device, select the capacity of energy storing device for more meeting the demand of user.
Fig. 3 is the structural block diagram according to electronic equipment provided in an embodiment of the present invention.Content based on the above embodiment, such as
Shown in Fig. 3, which may include: processor (processor) 301, memory (memory) 302 and bus 303；Its
In, processor 301 and memory 302 pass through bus 303 and complete mutual communication；Processor 301 is stored in for calling
In reservoir 302 and the computer program instructions that can be run on processor 301, to execute provided by above-mentioned each method embodiment
Capacity of energy storing device selection method, for example, the historical load data and history electricity price data for obtaining each metering period, according to
The historical load data and history electricity price data of the earnings pattern, each metering period that pre-establish, acquisition addition is each respectively can
Select the maximum energy storage income of each metering period after the energy storage device of capacity；For each optional capacity, according to the optional capacity of addition
Energy storage device after each metering period maximum energy storage income, the maximum after obtaining the energy storage device that optional capacity is added is over the years total
Income, and obtain the totle drilling cost for disposing the energy storage device of optional capacity；After the energy storage device of each optional capacity is added
The totle drilling cost of maximum total revenue and the energy storage device for disposing each optional capacity over the years, selects an optional appearance according to preset condition
Measure alternatively result；Wherein, earnings pattern using maximize be added energy storage device after each metering period energy storage income as mesh
Mark；Energy storage income includes demand charge income and electricity electricity charge income.
Another embodiment of the present invention discloses a kind of computer program product, and computer program product is non-transient including being stored in
Computer program on computer readable storage medium, computer program include program instruction, when program instruction is held by computer
When row, computer is able to carry out capacity of energy storing device selection method provided by above-mentioned each method embodiment, for example, obtains
The historical load data and history electricity price data of each metering period is gone through according to the earnings pattern, each metering period that pre-establish
History load data and history electricity price data obtain the maximum of each metering period after the energy storage device that each optional capacity is added respectively
Energy storage income；For each optional capacity, received according to the maximum energy storage of each metering period after the energy storage device that optional capacity is added
Benefit, the maximum total revenue over the years after obtaining the energy storage device that optional capacity is added, and obtain the energy storage device for disposing optional capacity
Totle drilling cost；According to the maximum total revenue over the years after the energy storage device that each optional capacity is added and dispose each optional capacity
The totle drilling cost of energy storage device selects an optional capacity alternatively result according to preset condition；Wherein, earnings pattern is with maximum
The energy storage income for changing each metering period after energy storage device is added is target；Energy storage income includes demand charge income and electricity electricity
Take income.
In addition, the logical order in above-mentioned memory 302 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
The technical solution of the inventive embodiments substantially part of the part that contributes to existing technology or the technical solution in other words
It can be embodied in the form of software products, which is stored in a storage medium, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes the present invention respectively
The all or part of the steps of a embodiment method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory
(ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk
Etc. the various media that can store program code.
Another embodiment of the present invention provides a kind of non-transient computer readable storage medium, non-transient computer readable storages
Medium storing computer instruction, computer instruction make computer execute capacity of energy storing device provided by above-mentioned each method embodiment
Selection method, for example, the historical load data and history electricity price data for obtaining each metering period, according to the receipts pre-established
Beneficial model, the historical load data of each metering period and history electricity price data obtain the energy storage that each optional capacity is added respectively
The maximum energy storage income of each metering period after device；For each optional capacity, after the energy storage device of optional capacity is added
The maximum energy storage income of each metering period, the maximum total revenue over the years after obtaining the energy storage device that optional capacity is added, and obtain
Dispose the totle drilling cost of the energy storage device of optional capacity；According to the total receipts over the years of the maximum after the energy storage device that each optional capacity is added
The totle drilling cost of the energy storage device of benefit and each optional capacity of deployment, selects an optional capacity alternatively to tie according to preset condition
Fruit；Wherein, earnings pattern using maximize be added energy storage device after each metering period energy storage income as target；Energy storage income packet
Include demand charge income and electricity electricity charge income.
The apparatus embodiments described above are merely exemplary, wherein unit can be as illustrated by the separation member
Or may not be and be physically separated, component shown as a unit may or may not be physical unit, i.e.,
It can be located in one place, or may be distributed over multiple network units.It can select according to the actual needs therein
Some or all of the modules achieves the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creative labor
In the case where dynamic, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Such understanding, above-mentioned skill
Substantially the part that contributes to existing technology can be embodied in the form of software products art scheme in other words, the calculating
Machine software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes above-mentioned each implementation
The method of certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of capacity of energy storing device selection method characterized by comprising
The historical load data and history electricity price data for obtaining each metering period, according to the earnings pattern, described each pre-established
The historical load data and history electricity price data of metering period are respectively counted after obtaining the energy storage device that each optional capacity is added respectively
Take the maximum energy storage income in period；
For each optional capacity, received according to the maximum energy storage of each metering period after the energy storage device that the optional capacity is added
Benefit, the maximum total revenue over the years after obtaining the energy storage device that the optional capacity is added, and obtain the deployment optional capacity
The totle drilling cost of energy storage device；
According to the maximum total revenue over the years after the energy storage device that each optional capacity is added and dispose each optional appearance
The totle drilling cost of the energy storage device of amount selects an optional capacity alternatively result according to preset condition；
Wherein, the earnings pattern using maximize be added energy storage device after each metering period energy storage income as target；It is described
Energy storage income includes demand charge income and electricity electricity charge income.
2. capacity of energy storing device selection method according to claim 1, which is characterized in that according to the earnings pattern, institute
The historical load data and history electricity price data of each metering period are stated, is respectively counted after obtaining the energy storage device that each optional capacity is added
The specific steps of maximum energy storage income for taking the period include:
Any metering period after energy storage device for any optional capacity is added, according at the beginning of any optional procurement of reserve capacity
Beginning maximum power and maximum charge and discharge duration obtain and energy storage are added according to the initial maximum power and maximum charge and discharge duration
The minimum value of the maximum actual load of any metering period after device, so that the demand charge of any metering period is received
It is beneficial maximum；
Using the minimum value of the maximum actual load of any metering period after the addition energy storage device as the income mould
The initialization condition of type obtains energy storage device in any metering period according to particle swarm algorithm and the earnings pattern
The time series of charge-discharge electric power, so that the energy storage Income Maximum of any metering period；
According to the time series of the charge-discharge electric power of energy storage device in any metering period, it is described any optional to obtain addition
The maximum energy storage income of any metering period after the energy storage device of capacity.
3. capacity of energy storing device selection method according to claim 2, which is characterized in that according to particle swarm algorithm and described
Earnings pattern obtains the time series of the charge-discharge electric power of energy storage device in any metering period, so that any meter
The specific steps of energy storage Income Maximum for taking the period include:
If judgement knows that the result for carrying out last iteration according to particle swarm algorithm is in local convergence, to last iteration
As a result it optimizes, so that the remaining capacity phase of the start time point energy storage device of the unit time of optimization front and back local convergence
It is identical with, the remaining capacity of end time point energy storage device, and the load being added after energy storage device in the unit time does not surpass
Cross it is described addition energy storage device after any metering period maximum actual load minimum value；
Current iteration is carried out according to the result of the last iteration after optimization.
4. capacity of energy storing device selection method according to claim 2, which is characterized in that described according to described any optional
Procurement of reserve capacity initial maximum power and the specific steps of maximum charge and discharge duration include:
According to any optional procurement of reserve capacity initial maximum power and initial maximum charge and discharge duration；The initial maximum power
It is equal to any optional capacity with the product of the initial maximum charge and discharge duration；
According to the initial maximum charge and discharge duration, preset year attenuation rate and the corresponding addition of any metering period
The year of energy storage device obtains the maximum charge and discharge duration.
5. capacity of energy storing device selection method according to claim 1, which is characterized in that for each optional capacity, root
According to the maximum energy storage income of each metering period after the energy storage device that the optional capacity is added, obtains and the optional capacity is added
The specific steps of maximum total revenue over the years after energy storage device include:
According to the maximum energy storage income of each metering period after the energy storage device that the optional capacity is added, it is described optional to obtain addition
Annual maximum return after the energy storage device of capacity；
By the sum of maximum return annual after the energy storage device that the optional capacity is added, the optional capacity is added as obtaining
Energy storage device after maximum total revenue over the years.
6. capacity of energy storing device selection method according to claim 5, which is characterized in that described described optional according to being added
The maximum energy storage income of each metering period after the energy storage device of capacity, acquisition are added after the energy storage device of the optional capacity every year
The specific steps of maximum return include:
It in each year after energy storage device for the optional capacity is added, obtains after the energy storage device of the optional capacity is added
The average value of the maximum energy storage income for each metering period that each year includes；
The product of the quantity for the metering period for including by the average value and each year, as the addition optional capacity
The each year maximum return after energy storage device.
7. capacity of energy storing device selection method according to any one of claims 1 to 6, which is characterized in that for each optional
Capacity, the specific steps for obtaining the totle drilling cost of energy storage device for disposing the optional capacity include:
According to the cost of unit capacity and the optional capacity, the totle drilling cost for disposing the energy storage device of the optional capacity is obtained.
8. a kind of capacity of energy storing device selection device characterized by comprising
Metering period income obtains module, for obtaining the historical load data and history electricity price data of each metering period, according to
The historical load data and history electricity price data of the earnings pattern, each metering period that pre-establish obtain be added often respectively
The maximum energy storage income of each metering period after the energy storage device of one optional capacity；
Total revenue totle drilling cost obtains module, is used for for each optional capacity, according to the energy storage device that the optional capacity is added
The maximum energy storage income of each metering period afterwards, the maximum total revenue over the years after obtaining the energy storage device that the optional capacity is added,
And obtain the totle drilling cost for disposing the energy storage device of the optional capacity；
Capacity of energy storing device selecting module, for over the years total according to the maximum after the energy storage device that each optional capacity is added
Income and dispose each optional capacity energy storage device totle drilling cost, according to preset condition select an optional capacity as
Selection result；
Wherein, the earnings pattern using maximize be added energy storage device after each metering period energy storage income as target；It is described
Energy storage income includes demand charge income and electricity electricity charge income.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor realizes energy storage as described in any one of claim 1 to 7 when executing described program
The step of installed capacity selection method.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
The step of capacity of energy storing device selection method as described in any one of claim 1 to 7 is realized when program is executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910438088.8A CN110048421B (en) | 2019-05-24 | 2019-05-24 | Energy storage device capacity selection method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910438088.8A CN110048421B (en) | 2019-05-24 | 2019-05-24 | Energy storage device capacity selection method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110048421A true CN110048421A (en) | 2019-07-23 |
| CN110048421B CN110048421B (en) | 2020-11-13 |
Family
ID=67283493
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910438088.8A Active CN110048421B (en) | 2019-05-24 | 2019-05-24 | Energy storage device capacity selection method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110048421B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116260231A (en) * | 2022-09-29 | 2023-06-13 | 中兴通讯股份有限公司 | Communication station, power control method and device thereof and computer storage medium |
| CN116544999A (en) * | 2023-07-05 | 2023-08-04 | 深圳海辰储能控制技术有限公司 | Method, device, equipment and medium for determining installed capacity of energy storage system |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108258710A (en) * | 2018-02-02 | 2018-07-06 | 珠海派诺科技股份有限公司 | A kind of battery energy storage system Optimal Configuration Method counted and battery capacity decays |
-
2019
- 2019-05-24 CN CN201910438088.8A patent/CN110048421B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108258710A (en) * | 2018-02-02 | 2018-07-06 | 珠海派诺科技股份有限公司 | A kind of battery energy storage system Optimal Configuration Method counted and battery capacity decays |
Non-Patent Citations (2)
| Title |
|---|
| TIANMENG YANG等: "The Optimal Capacity Determination Method of Energy Storage System with Different Applications in Wind Farm", 《2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY CONFERENCE》 * |
| 朱佳明等: "基于二层规划的用户侧储能容量配置和最优运行策略分析", 《南方电网技术》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116260231A (en) * | 2022-09-29 | 2023-06-13 | 中兴通讯股份有限公司 | Communication station, power control method and device thereof and computer storage medium |
| CN116260231B (en) * | 2022-09-29 | 2024-04-12 | 中兴通讯股份有限公司 | Communication station, power control method and device thereof and computer storage medium |
| CN116544999A (en) * | 2023-07-05 | 2023-08-04 | 深圳海辰储能控制技术有限公司 | Method, device, equipment and medium for determining installed capacity of energy storage system |
| CN116544999B (en) * | 2023-07-05 | 2024-01-16 | 深圳海辰储能控制技术有限公司 | Method, device, equipment and medium for determining installed capacity of energy storage system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110048421B (en) | 2020-11-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zakeri et al. | Policy options for enhancing economic profitability of residential solar photovoltaic with battery energy storage | |
| Varkani et al. | A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets | |
| KR20190043289A (en) | Appartus for scheduling of power demand-supply operation and method thereof, computer program | |
| Aghamohamadi et al. | A novel approach to multi energy system operation in response to DR programs; an application to incentive-based and time-based schemes | |
| Wolak | The role of efficient pricing in enabling a low-carbon electricity sector | |
| KR102672397B1 (en) | System and method for agencying power trading system and method | |
| CN112084705A (en) | Grid-connected coordination planning method and system for comprehensive energy system | |
| CN105976079A (en) | Method for determining electric power retailer day-ahead energy acquisition with demand response resources being considered | |
| CN107565585A (en) | Energy storage device peak regulation report-back time Forecasting Methodology and its model creation method | |
| CN110048421A (en) | Capacity of energy storing device selection method and device | |
| CN110797872B (en) | Method, device, equipment and storage medium for configuring energy storage capacity of user side | |
| Mistry et al. | Impact of demand response program in wind integrated distribution network | |
| Chang et al. | Day-ahead bidding strategy of cloud energy storage serving multiple heterogeneous microgrids in the electricity market | |
| Zheng et al. | Stochastic programming model for incentive‐based demand response considering complex uncertainties of consumers | |
| CN113256168B (en) | Power system planning method, device, equipment and storage medium | |
| Kim et al. | Economical energy storage systems scheduling based on load forecasting using deep learning | |
| Mondal et al. | Dynamic price-enabled strategic energy management scheme in cloud-enabled smart grid | |
| Ahmad et al. | Learning from optimal: Energy procurement strategies for data centers | |
| CN112258210A (en) | Market clearing method, device, equipment and medium under market one-side quotation | |
| CN111798070A (en) | Configuration method and device of user side optical storage system | |
| Jiang et al. | Monthly electricity purchase and decomposition optimization considering wind power accommodation and day-ahead schedule | |
| Dorgham et al. | A novel dynamic pricing model for the telecommunications industry | |
| US20210203160A1 (en) | Method for the automatic management method of a flow of electrical energy | |
| CN113177655A (en) | Comprehensive energy system multi-main-body operation optimization method and device based on reinforcement learning | |
| Bhattacharya et al. | Structured storage policies for energy distribution networks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Capacity selection method and device of energy storage device Effective date of registration: 20210329 Granted publication date: 20201113 Pledgee: Guanggu Branch of Wuhan Rural Commercial Bank Co.,Ltd. Pledgor: WINDMAGICS (WUHAN) Co.,Ltd. Registration number: Y2021420000014 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20220328 Granted publication date: 20201113 Pledgee: Guanggu Branch of Wuhan Rural Commercial Bank Co.,Ltd. Pledgor: WINDMAGICS (WUHAN) CO.,LTD. Registration number: Y2021420000014 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Capacity selection method and device of energy storage device Effective date of registration: 20220329 Granted publication date: 20201113 Pledgee: Guanggu Branch of Wuhan Rural Commercial Bank Co.,Ltd. Pledgor: WINDMAGICS (WUHAN) CO.,LTD. Registration number: Y2022420000088 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20230410 Granted publication date: 20201113 Pledgee: Guanggu Branch of Wuhan Rural Commercial Bank Co.,Ltd. Pledgor: WINDMAGICS (WUHAN) CO.,LTD. Registration number: Y2022420000088 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right |