CN109066741A - A kind of distributed energy storage method and system for planning for regional power grid peak load shifting - Google Patents
A kind of distributed energy storage method and system for planning for regional power grid peak load shifting Download PDFInfo
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- 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
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- 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
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Abstract
The present invention provides a kind of distributed energy storage method and system for planning for regional power grid peak load shifting, comprising: obtains the power and voltage of energy-storage system node；The power and voltage of energy-storage system node based on acquisition are solved with active power loss minimum and the minimum target of voltage fluctuation, obtain the power, capacity and on-position of distributed energy storage system；Power, capacity and on-position based on the distributed energy storage system are planned.The present invention not only calculates the power of energy-storage system and capacity, and the access node of multiple distributed energy storages is selected, both the new energy digestion capability of system can be improved, it can reduce the network loss and voltage fluctuation of electric system again, provide preferable medium for the fusion of new energy and electric system.
Description
Technical field:
The invention belongs to technical field of energy storage, and in particular to a kind of distributed energy storage rule for regional power grid peak load shifting
Draw method and system.
Background technique:
China's renewable energy was rapidly developed in recent years, especially wind-power electricity generation and photovoltaic power generation, but therewith
The problems such as what is come is new energy consumption and influence to network voltage, frequency.Energy storage technology is that these problems bring a kind of row
Effective solution method, currently, say from industrialization angle, energy storage is in the stage just developed, and reaches wind-powered electricity generation and light far away
This development trend and installation scale of volt, therefore the development of energy storage has broad prospects.
Technology more mature at present is chemical energy storage technology, such as lithium ion battery, lead carbon battery and flow battery, especially
Under the application scenarios of peak load shifting, chemical energy storage is more appropriate selection for it.Several key technologies of chemical energy storage are as follows: storage
Energy ontology, energy accumulation current converter technology, energy storage planning and energy storage control technology etc..Existing energy-storage system is typically mounted on new energy
Source station cannot plan energy-storage system from the angle of electric system.
Summary of the invention:
In order to overcome drawbacks described above, the present invention provides a kind of distributed energy storage planning for regional power grid peak load shifting
Method, comprising the following steps:
Obtain the power and voltage of energy-storage system node；
The power and voltage of energy-storage system node based on acquisition are with active power loss minimum and the minimum target of voltage fluctuation
It is solved, obtains the power, capacity and on-position of distributed energy storage system；
Power, capacity and on-position based on the distributed energy storage system are planned.
Preferably, the energy-storage system current transformer power based on acquisition is minimum with active power loss minimum and voltage fluctuation
Target is solved, and power, capacity and the on-position of the corresponding distributed energy storage system of optimal solution are obtained, comprising:
Active power loss minimum and the smallest function of voltage fluctuation are polymerized to simple target using the method for linear weighted function sum
Function；
Power based on constraint condition and the energy-storage system current transformer is using genetic algorithm to the simple target function
It is solved, obtains optimal solution；
The power, capacity and on-position of distributed energy storage system are determined based on the optimal solution.
Preferably, the simple target function, expression formula are as follows:
F=α f1+βf2
In formula, f is simple target function；f1For the objective function of active power loss；f2For the objective function of voltage fluctuation；α is
f1Weight；β is f2Weight.
Preferably, the objective function f of the active power loss1, it is calculated as follows:
In formula: Pij_tFor the active power network loss of t period node i to node j；T=1,2,3 ... b indicate the period,
Each period is a minutes, b=24*60/a.
Preferably, the objective function f of the voltage fluctuation2, it is calculated as follows:
In formula: t=1,2,3 ... b indicate that period, each period are a minutes, b=24*60/a；V is capacity；For the variance of the voltage fluctuation of b period of node i one day；Vi_tFor node i t moment voltage；For
Voltage rating of the node i in t moment.
Preferably, power, capacity and the on-position based on the distributed energy storage system is planned, comprising:
The power and voltage of each branch and node in each period are obtained using Load flow calculation；
When the objective function acquisition active power loss minimum of power and active power loss based on distributed energy storage system node
Node；
Node when based on the active power loss minimum determines the on-position of distributed energy storage system stored energy；
Objective function based on the on-position, voltage and the voltage fluctuation calculates the stored energy capacitance of access.
Preferably, the preset constraint condition, such as following formula:
In formula: Pi_tFor the active power of t period node i；Qi_tFor the reactive power of t period node i；
For the conjugate vector of the voltage of node i；GijFor the conductance of route ij；BijFor the susceptance of route ij.
A kind of distributed energy storage planning system for regional power grid peak load shifting, the system comprises:
Obtain module: for obtaining the power and voltage of energy-storage system node；
Solve module: the power and voltage for the energy-storage system node based on acquisition are with active power loss minimum and voltage wave
Move power, capacity and on-position that minimum target solve distributed energy storage system；
Planning module: power, capacity and on-position for the distributed energy storage system based on acquisition are planned.
Preferably, the solution module, comprising: polymerized unit and solution unit；
The polymerized unit, for active power loss minimum and the smallest function of voltage fluctuation to be used to the side of linear weighted function sum
Method is polymerized to simple target function；
The solution unit, for the power based on constraint condition and the energy-storage system current transformer to the simple target
Function is solved.
Preferably, the planning module, comprising: first acquisition unit, second acquisition unit, determination unit and calculating are single
Member；
The first acquisition unit, for obtaining the power of each branch and node in each period using Load flow calculation
And voltage；
The second acquisition unit, the objective function for power and active power loss based on distributed energy storage system node
Obtain node when active power loss minimum；
The determination unit, node when for based on the active power loss minimum determine distributed energy storage system stored energy
On-position；
The computing unit connects for the objective function calculating based on the on-position, voltage and the voltage fluctuation
The stored energy capacitance entered.
Compared with prior art, the invention has the following beneficial effects:
1, a kind of distributed energy storage planing method for regional power grid peak load shifting provided by the invention obtains energy storage system
The power and voltage of system node；The power and voltage of energy-storage system node based on acquisition are with active power loss minimum and voltage fluctuation
Minimum target is solved, and the power, capacity and on-position of distributed energy storage system are obtained；Based on the distributed energy storage
Power, capacity and the on-position of system are planned, are planned from the angle of electric system distributed energy storage, both may be used
It to improve the new energy digestion capability of system, and can reduce the network loss and voltage fluctuation of electric system, be new energy and electric power
The fusion of system provides preferable medium.
2, a kind of distributed energy storage planing method for regional power grid peak load shifting provided by the invention, from electric system
With the planning problem of distributed energy storage system from the aspect of new energy consumption two, establish Model for Multi-Objective Optimization and it is corresponding about
Beam condition.
3, a kind of distributed energy storage planing method for regional power grid peak load shifting provided by the invention, realizes distribution
Formula energy-storage system distribute rationally and addressing, can alleviate the consumption problem of new energy, reduce abandonment and abandon light, and can be from power train
The angle of system reduces system losses and voltage fluctuation.
Detailed description of the invention:
Fig. 1 is distributed energy storage planning implementation method flow diagram of the invention；
Fig. 2 is that distributed energy storage of the invention plans calculation method flow chart；
Fig. 3 is the flow chart of calculating of the invention daily required maximum power and capacity；
Fig. 4 is the flow chart of the general power and capacity of the suitable energy-storage system of selection of the invention；
Fig. 5 divides power, capacity and the flow chart of on-position for each distributed energy storage of determination of the invention；
Fig. 6 is distributed energy storage system access regional power grid schematic diagram of the invention；
Wherein, 1 indicate that access node 1,2 indicates access node 2 ... ..., 24 indicate access node 24, and ES indicates installation
Energy storage.
Specific embodiment:
For a better understanding of the present invention, following will be combined with the drawings in the embodiments of the present invention, in the embodiment of the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under all other embodiment obtained, shall fall within the protection scope of the present invention.
Embodiment 1:
Implementation method flow figure of the invention is as shown in Figure 1:
Step 1: obtaining the power and voltage of energy-storage system node；
Step 2: the energy-storage system current transformer power based on acquisition is with active power loss minimum and the minimum target of voltage fluctuation
Solve power, capacity and the on-position of distributed energy storage system；
Step 3: power, capacity and the on-position of the distributed energy storage system based on acquisition are planned.
It is specific as shown in Figure 2:
Step 1: obtaining the power and voltage of energy-storage system node；
Daily required maximum power and capacity are calculated as shown in figure 3, obtaining power supply daily in regional power grid 1 year, bearing
Lotus, photovoltaic and wind-powered electricity generation historical data, data sampling precision be 15 minutes；
It calculates among 1 year daily for energy storage device maximum power needed for peak load shifting
Wherein, PpvFor 15 minutes grade power of photovoltaic power generation, PwFor 15 minutes grade power of wind-powered electricity generation, PsFor other power supplys ten
Five minutes grade power, PlFor 15 minutes grade Power loss, PLFor 15 minutes stage load power, D was the D days in 1 year, and t is
Sampling time.
It calculates among 1 year daily for maximum capacity needed for peak load shifting
Wherein, T is that energy storage absorbs power maximum continuous time, is 15 minutes integral multiples.
General power and total capacity in 1 year are calculated, as shown in Figure 4:
Daily required maximum energy storage power and capacity, obtain its discrete probability distribution function in statistics gained 1 yearWhereinWithIt is respectively maximum daily
Power and the corresponding probability of energy；
According to requiring the power and capacity that select corresponding energy-storage system under desired probability, as energy-storage system
General power PESWith total capacity EES；
Step 2: the energy-storage system current transformer power based on acquisition is with active power loss minimum and the minimum target of voltage fluctuation
Solve power, capacity and the on-position of distributed energy storage system；
As shown in figure 5, specifically including:
It establishes using minimum network loss and minimum voltage fluctuation as the multi-goal optimizing function of target, is the smallest with active power loss
Objective function:With voltage fluctuation for the smallest objective function:
Using the method for linear weighted function sum by f1And f2It is polymerized to simple target function, f=α f1+βf2, wherein Pij_t=Pi_t-Pj_tIt is
The active power loss of t period branch ij, every time t represent in 15 minutes, one day totally 96 periods,
For the variance of the voltage fluctuation of one day 96 period of node i, Vi_tWithRespectively voltage and voltage rating of the node i in t moment, α
It is respectively objective function f with β1And f2Corresponding weight, alpha+beta=1, can according to demand or experience selects its size；
Bound for objective function in establishment step 301, (1) trend constraint
Pi=Px+PjiThe sum of power and the energy storage power of i, Q are flowed into for node jiFor reactive power,For the conjugation of the voltage of node i
Vector, Gij、BijThe respectively conductance and susceptance of route ij, node i is without energy storage then Px=0, therefore, if asked by objective function
Obtain PxWhen=0, indicate that the node does not install energy-storage system；(2) power of each distributed energy storage, capacity and be equal to total work
Rate, total capacity(3) node voltage constrains Vi,min≤Vi≤Vi,max；(4) branch power constraint-
Pij,max≤Pij≤Pij,max；(5) state-of-charge of energy storage device constrains SoCmin≤SoCt≤SoCmax, SoCt=SoCt-1+Δ
tPx_tη/Ex；(6) the maximum power constraint of the charge and discharge of energy storage device | PES|≤Pmax。
Step 3: power, capacity and the on-position of the distributed energy storage system based on acquisition are planned.
Objective function is solved, since the power of the current transformer of energy-storage system in practice is usually 5kW, 10kW, 30kW etc., is asked
The solution that the integral multiple that power is 5 can be preferentially solved in solution preocess, obtains the power, capacity and access digit of each distributed energy storage
It sets, on-position is arbitrary node in regional power grid.
As shown in fig. 6, the on-position of distributed energy storage system, i.e., the section that energy-storage system should access in regional power grid
Point, the node 1 and 6 in regional power grid have wind power plant, and node 19 and 23 has photovoltaic plant, through the invention described in side
Method, the available node for needing to install energy storage are 1,10,15 and 20, and corresponding different installation power and capacity.
Embodiment 2
Based on the same inventive concept, the present invention also provides a kind of distributed energy storage planning for regional power grid peak load shifting
System, the system comprises:
Obtain module: for obtaining the power and voltage of energy-storage system node；
Solve module: the power and voltage for the energy-storage system node based on acquisition are with active power loss minimum and voltage wave
Move power, capacity and on-position that minimum target solve distributed energy storage system；
Planning module: power, capacity and on-position for the distributed energy storage system based on acquisition are planned.
Preferably, the solution module, comprising: polymerized unit and solution unit；
The polymerized unit, for active power loss minimum and the smallest function of voltage fluctuation to be used to the side of linear weighted function sum
Method is polymerized to simple target function；
The solution unit, for the power based on constraint condition and the energy-storage system current transformer to the simple target
Function is solved.
Preferably, the planning module, comprising: first acquisition unit, second acquisition unit, determination unit and calculating are single
Member；
The first acquisition unit, for obtaining the power of each branch and node in each period using Load flow calculation
And voltage；
The second acquisition unit, the objective function for power and active power loss based on distributed energy storage system node
Obtain node when active power loss minimum；
The determination unit, node when for based on the active power loss minimum determine distributed energy storage system stored energy
On-position；
The computing unit connects for the objective function calculating based on the on-position, voltage and the voltage fluctuation
The stored energy capacitance entered.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is flow chart and side of the reference according to the method for the embodiment of the present application, system and computer program product
Block diagram describes.It should be understood that each process and box that can be realized by computer program instructions in flow chart and block diagram, with
And the combination of the process and box in flow chart and block diagram.Can provide these computer program instructions to general purpose computer, specially
With the processor of computer, Embedded Processor or other programmable data processing devices to generate a machine, so that passing through
The instruction that computer or the processor of other programmable data processing devices execute generates for realizing in one process of flow chart
Or the device for the function of being specified in multiple processes and one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
The manufacture of device is enabled, which realizes in one box of one or more flows of the flowchart and block diagram or multiple
The function of being specified in box.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and one, block diagram
The step of function of being specified in box or multiple boxes.
The above is only the embodiment of the present invention, are not intended to restrict the invention, all in the spirit and principles in the present invention
Within, any modification, equivalent substitution, improvement and etc. done, be all contained in apply pending scope of the presently claimed invention it
It is interior.
Claims (10)
1. a kind of distributed energy storage planing method for regional power grid peak load shifting, which comprises the following steps:
Obtain the power and voltage of energy-storage system node；
The power and voltage of energy-storage system node based on acquisition are carried out with active power loss minimum and the minimum target of voltage fluctuation
It solves, obtains the power, capacity and on-position of distributed energy storage system；
Power, capacity and on-position based on the distributed energy storage system are planned.
2. a kind of distributed energy storage planing method for regional power grid peak load shifting as described in claim 1, feature exist
In the energy-storage system current transformer power based on acquisition is asked with active power loss minimum and the minimum target of voltage fluctuation
Solution obtains power, capacity and the on-position of the corresponding distributed energy storage system of optimal solution, comprising:
Active power loss minimum and the smallest function of voltage fluctuation are polymerized to simple target function using the method for linear weighted function sum；
Power based on constraint condition and the energy-storage system current transformer carries out the simple target function using genetic algorithm
It solves, obtains optimal solution；
The power, capacity and on-position of distributed energy storage system are determined based on the optimal solution.
3. a kind of distributed energy storage planing method for regional power grid peak load shifting as claimed in claim 2, feature exist
In, the simple target function, expression formula is as follows:
F=α f1+βf2
In formula, f is simple target function；f1For the objective function of active power loss；f2For the objective function of voltage fluctuation；α is f1's
Weight；β is f2Weight.
4. a kind of distributed energy storage planing method for regional power grid peak load shifting as claimed in claim 3, feature exist
In the objective function f of the active power loss1, it is calculated as follows:
In formula: Pij_tFor the active power network loss of t period node i to node j；T=1,2,3 ... b indicate the period, each
Period is a minutes, b=24*60/a.
5. a kind of distributed energy storage planing method for regional power grid peak load shifting as claimed in claim 3, feature exist
In the objective function f of the voltage fluctuation2, it is calculated as follows:
In formula: t=1,2,3 ... b indicate that period, each period are a minutes, b=24*60/a；V is capacity；For the variance of the voltage fluctuation of b period of node i one day；Vi_tFor node i t moment voltage；For section
Voltage rating of the point i in t moment.
6. a kind of distributed energy storage planing method for regional power grid peak load shifting as claimed in claim 5, feature exist
In power, capacity and the on-position based on the distributed energy storage system is planned, comprising:
The power and voltage of each branch and node in each period are obtained using Load flow calculation；
The objective function of power and active power loss based on distributed energy storage system node obtains node when active power loss minimum；
Node when based on the active power loss minimum determines the on-position of distributed energy storage system stored energy；
Objective function based on the on-position, voltage and the voltage fluctuation calculates the stored energy capacitance of access.
7. a kind of distributed energy storage planing method for regional power grid peak load shifting as claimed in claim 2, feature exist
In, the preset constraint condition, such as following formula:
In formula: Pi_tFor the active power of t period node i；Qi_tFor the reactive power of t period node i；For section
The conjugate vector of the voltage of point i；GijFor the conductance of route ij；BijFor the susceptance of route ij.
8. a kind of distributed energy storage planning system for regional power grid peak load shifting, which is characterized in that the system comprises:
Obtain module: for obtaining the power and voltage of energy-storage system node；
Solve module: power and voltage for the energy-storage system node based on acquisition with active power loss minimum and voltage fluctuation most
Small power, capacity and the on-position for solve for target distributed energy storage system；
Planning module: power, capacity and on-position for the distributed energy storage system based on acquisition are planned.
9. a kind of distributed energy storage planning system for regional power grid peak load shifting as claimed in claim 8, feature exist
In the solution module, comprising: polymerized unit and solution unit；
The polymerized unit, for gathering active power loss minimum and the smallest function of voltage fluctuation using the method for linear weighted function sum
It is combined into simple target function；
The solution unit, for the power based on constraint condition and the energy-storage system current transformer to the simple target function
It is solved.
10. a kind of distributed energy storage planning system for regional power grid peak load shifting as claimed in claim 8, feature exist
In the planning module, comprising: first acquisition unit, second acquisition unit, determination unit and computing unit；
The first acquisition unit, for obtaining the power and electricity of each branch and node in each period using Load flow calculation
Pressure；
The second acquisition unit, the objective function for power and active power loss based on distributed energy storage system node obtain
Node when active power loss minimum；
The determination unit, node when for based on the active power loss minimum determine the access of distributed energy storage system stored energy
Position；
The computing unit calculates access for the objective function based on the on-position, voltage and the voltage fluctuation
Stored energy capacitance.
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| CN110365007A (en) * | 2019-05-28 | 2019-10-22 | 国网江苏省电力有限公司盐城供电分公司 | A kind of battery energy storage system method for planning capacity for IEEE-33 node system |
| CN110365007B (en) * | 2019-05-28 | 2022-08-19 | 国网江苏省电力有限公司盐城供电分公司 | Battery energy storage system capacity planning method for IEEE-33 node system |
| CN113270882A (en) * | 2021-04-26 | 2021-08-17 | 南方电网电动汽车服务有限公司 | Method, device, equipment and medium for reducing network loss of power distribution network through energy storage device |
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