CN109347127A - A kind of energy storage Optimal Configuration Method for coping with block supply line fault - Google Patents
A kind of energy storage Optimal Configuration Method for coping with block supply line fault Download PDFInfo
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- CN109347127A CN109347127A CN201811262139.8A CN201811262139A CN109347127A CN 109347127 A CN109347127 A CN 109347127A CN 201811262139 A CN201811262139 A CN 201811262139A CN 109347127 A CN109347127 A CN 109347127A
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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
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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
- H02J3/30—Arrangements for balancing of the load in a network by storage of energy using dynamo-electric machines coupled to flywheels
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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
- 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]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/16—Mechanical energy storage, e.g. flywheels or pressurised fluids
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Abstract
The invention discloses a kind of energy storage Optimal Configuration Methods for coping with block supply line fault, the economic and technical norms of studied electric system each component parameters and common energy storage are collected first, secondly regional power grid line fault and service restoration process are determined, then the Operation of Electric Systems and energy storage allocation models for considering generator unit response time and important load power demands index are established, total cost is invested with composite energy storage again, expectation after energy storage life cycle management inner region power supply line failure runs the minimum configuration target of weighted sum of punishment and operating cost, last solving model obtains energy storage allocation plan.The present invention can comprehensively utilize the characteristics of different type energy storage, with the investment of the smallest composite energy storage, cope with the out-of-limit problem of trend and power demands problem that may occur after transmission line malfunction, guarantee Operation of Electric Systems reliability, additionally sensitivity analysis can be carried out to the key parameter for influencing energy storage configuration result by the method proposed.
Description
Technical field
The invention belongs to electrical engineering fields more particularly to a kind of energy storage for coping with block supply line fault to distribute rationally
Method.
Background technique
With the variation of global climate, various extreme weathers, such as typhoon, heavy rain, ice damage, a wide range of power grid can be caused and set
Standby and line fault, causes large area blackout.After block supply line fault, system often faces urgent trend simultaneously
Problem of both out-of-limit event and important load power demands.The out-of-limit problem of trend is frequently with power transmission line dynamic capacity increase technology
Carry out in the short time to expand the capacity of trunk upper limit or cutting load cooperation configures appropriate power-type energy storage and carries out trend evacuation, but equal nothing
Method copes with power supply deficiency problem；Power demands problem often reduces workload demand or configuration energy type by cutting machine-cut load measure
Energy storage is powered during maintenance, but can not cope with the out-of-limit problem of trend.Other than configuration energy storage and excision load, do not have also at present
Having can solve the problems, such as that trend is out-of-limit and the method for power demands problem simultaneously.In view of the power supply of certain given area important loads can
By property require it is high, lose Laden-Value it is very big, cutting load method be it is unpractiaca, can only by configure energy storage come and meanwhile solve
State problem.
Summary of the invention
In view of the drawbacks of the prior art, it is an object of the invention to solve how to distribute multiple types energy storage rationally, with
The smallest composite energy storage investment is coped with the out-of-limit problem of trend and power demands problem that may occur after transmission line malfunction, is protected
The technical issues of demonstrate,proving Operation of Electric Systems reliability.
To achieve the above object, the present invention provides a kind of energy storage Optimal Configuration Method for coping with block supply line fault,
The following steps are included:
Step (1), collects the parameter of each element of electric system, and each element of electric system includes AC network, contact
Line, fired power generating unit, Wind turbines and energy-storage travelling wave tube, energy-storage travelling wave tube include hydroenergy storage station, various electrochemical energy storages, storage
Heat, flywheel energy storage, super capacitor, super conductive magnetic storage energy and compressed-air energy storage element, the parameter include number parameter, number ginseng
Number, bound parameter, power parameter, economic parameters, cycle parameter or fault parameter；
Step (2), if line fault occurs for the electric system, by cutting machine-cut load or configuration power-type energy storage,
And fired power generating unit or Wind turbines power output are adjusted, alleviate unbalanced power caused by Line Flow is out-of-limit or system sectionalizing,
On the basis of configured power-type energy storage, a certain amount of energy storage is distributed rationally, needed with powering during guaranteeing trouble hunting to load
It asks；
Step (3) is established based on the parameter of each element and is considered that generator unit response time and important load power supply need
Ask the Operation of Electric Systems and energy storage allocation models of index；
Step (4) selectes energy storage and configures target, so that composite energy storage invests total cost, energy storage life cycle management inner region
Expectation after power supply line's failure runs punishment and the weighted sum of operating cost is minimum；
Step (5) solves the Operation of Electric Systems and energy storage configuration mould using energy storage configuration target as optimization aim
Type obtains energy storage configuration result.
In an optional example, the parameter of each element includes: in told step (1)
AC network node number Nb, node burden with power Pd, node maximum cutting load power accounting β, node mistake load valence
Value coefficient kcl, maximum allowable mistake power load ratio beta after failure；
AC network number of lines Nl, route first and last end node number, line reactance per unit value x, route longtime running permit
Perhaps trend upper limit Plmax；System reference capacity Sb, system requirements percentage reserve α；
Node serial number where fired power generating unit, technology power output bound PthmaxAnd Pthmin, dynamic power output bound PthUWith
PthD, maximum climbing rate r up and downUthAnd rDth, fired power generating unit response time trth, thermoelectricity operating cost cth, cut machine amount penalty coefficient
cthcut；
Node serial number where Wind turbines, Wind turbines power output Pwd, abandonment amount penalty coefficient cwdcut；Section where interconnection
Point, interconnection absorb power P from nodeto；
The maximum allowable construction water pumper number of units K of hydroenergy storage stationphg, water pumper rated power pph, water pumper discharge power
Bound pphdminAnd pphdmax, water pumper charge power pphc, the maximum creep speed r up and down of pumped storage unitUphAnd rDph, pumped storage machine
Group response time trph, maximum allowable construction reservoir ENERGY Ephrmax, pumped storage efficiency for charge-discharge ηphC and ηphd, pumped storage depth of discharge
Dph, pumped storage power configuration cost coefficient cphg, pumped storage energy reversal cost coefficient cphe, pumped storage operation expense cphm；
The maximum allowable configuration battery unit number N of battery energy storagegb, battery unit rated power pgb, maximum allowable configuration electricity
Pond ENERGY Egbrmax, battery efficiency ηgbcAnd ηgbd, battery discharge depth Dgb, power of battery deployment cost coefficient cgbp, electricity
Pond energy reversal cost coefficient cgbe, battery operation maintenance cost cgbm；
Energy storage life cycle management Tlife, corrective maintenance time T, institute's research area's node serial number, study power supply section line
Road number, section year failure-frequency f, the various fault rate p of section.
In an optional example, the step (2) is including during urgent trend evacuation process in short-term and line maintenance
Load power supply and recovery process, specifically comprise the following steps:
(2.1) urgent trend evacuates process in short-term
After line failure, network frame topology changes, and trend is redistributed, and the urgent out-of-limit event of trend, judgement easily occurs
Whether there is Line Flow to reach the transmission capacity upper limit in short-term or system sectionalizing occur after a failure, is promptly got over if there is Line Flow
Limit or system sectionalizing event, by cutting, the measures such as machine-cut load alleviation Line Flow is out-of-limit or system power is uneven；Or configuration
Energy storage avoids cutting machine-cut load, adjusts unit output later, alleviate Line Flow as the power support in the short time after failure
Unbalanced power caused by out-of-limit or system sectionalizing；
(2.2) load power supply and recovery during line maintenance
It distributes a certain amount of energy storage rationally, important load power supply can be met during entire trouble hunting, route completes inspection
After repairing, restore all load power supplies in region.
In an optional example, the step (3) specifically includes following constraint condition:
Corrective maintenance time can divide the period according to preset rules in the model；
The model includes following constraint condition, wherein the variable containing subscript b is ground state variable before failure, contains subscript
The variable of s is the variable occurred after s kind failure, and segment number when subscript t is locating for variable, the variable containing subscript i is i-th
Relevant variable at node, the variable containing subscript j are the relevant variable on j-th strip route, subscript or subscript in partially restrained
In a part be omitted, represent and subscript be omitted for this or all values that subscript can be got all meet；
(3.1) Operation of Electric Systems model, Operation of Electric Systems constraint are as follows:
|PL, j|≤PLmax, j (3)
Formula (1) is node power Constraints of Equilibrium, PthFor fired power generating unit power output, PphFor the electric discharge of pumped storage unit, PgbFor battery storage
Energy discharge capacity, PdFor load demand, PclFor cutting load amount, MlFor node incidence matrix, PlFor the trend on route, by direct current
Tide model, PlIt can be calculated such as formula (2), S is the sensitivity matrix being derived by by DC flow model, while PlTide need to be met
It flows constraint formula (3), PlmaxFor the trend upper limit that route allows, there are two kinds of value in short-term and long duration, formula (4) and formula (5) are rotation
Reserve Constraint, PthUAnd PthDRespectively generator is actually contributed upper and lower limit under climbing limitation, and α is percentage reserve；
(3.2) unit moving model, thermal power unit operation constraint are as follows:
Pthmin≤PthD≤Pth≤PthU≤Pthmax (6)
PThU, t≤PTh, t-1+rUPthmaxΔT (7)
PThD, t≥PTh, t-1-rDPthmaxΔT (8)
Formula (6) is thermal power output range constraint, PthmaxAnd PthminRespectively generator techniques power output bound；Formula (7) with
Formula (8) is generator Climing constant, rUAnd rDThe respectively upper and lower creep speed of fired power generating unit, Δ T are the Period Length being partitioned into；
(3.3) energy storage configuration and moving model
(3.3.1) energy storage configuration constraint is as follows:
Ephr≤Ephrmax, Egbr≤Egbrmax (11)
Formula (9) and formula (10) are respectively to allow to configure draw water unit and the constraint of battery pack number, nphgTo configure the board that draws water
Number, KiFor the unit number of units of drawing water of maximum allowable construction at i-th of node, k is the number of water pumper, IPhg, ikFor 01 variable, generation
Whether kth platform unit is built at i-th of node of table；ngbTo configure battery unit number, NGb, iIt is maximum allowable at i-th of node
Configure battery unit number, Hi=[log2NGb, i], it is NGb, iTotal bit when being expressed with binary number, h are binary digit
Number, xGb, ihWhether h to configure battery unit number at i-th of node be 0；Formula (11) is the energy of pumped storage and battery
Upper limit constraint, EphrAnd EgbrThe respectively configuration energy of pumped storage and battery, EphrmaxAnd EgbrmaxRespectively pumped storage and battery be most
It is big to allow configuration energy；
The constraint of (3.3.2) energy storage charging and discharging state is as follows:
CPh, ik≤1-UPh, i, DPh, ik≤UPh, i (12)
CPh, ik+DPh, ik≤IPh, ik (13)
CGb, ih≤1-UGb, i, DGb, ih≤UGb, i (14)
CGb, ih+DGb, ih≤xGb, ih (15)
C in formulaPh, ikAnd CGb, ihRespectively in pump-up power station 2 in kth platform water pumper and battery energy storageh-1A battery unit
Charged state；DPh, ikAnd DGb, ihRespectively in pump-up power station 2 in kth platform water pumper and battery energy storageh-1A battery unit is put
Electricity condition；UPh, iAnd UGb, iThe respectively charging and discharging state of pumped storage and battery entirety；
The constraint of (3.3.3) energy storage charge-discharge electric power is as follows:
Pph=Pphd-Pphc, Pgb=Pgbd-Pgbc (16)
pphdminDPh, ik≤PPhd, ik≤pphdmaxDPh, ik (19)
PPhc, ik=pphcCPh, ik (20)
0≤PGb, ih≤2h-1PgbDGb, ih (21)
0≤PGbc, ih≤2h-1pgbCGb, ih (22)
P in formulaphAnd PgbRespectively pumped storage and the battery power that integrally injects power grid, PPhd, ikAnd PPhc, ikRespectively kth platform
The electric discharge of water pumper and charge power, pphdminAnd pphdmaxThe respectively minimum value and maximum value of water pumper discharge power, pphcFor
Water pumper charge power, PGbd, ihAnd PGbc, ihRespectively 2h-1The discharge power and charge power of a battery unit；
(3.3.4) remaining capacity and variation constraint are as follows:
10%Ephr≤Eph≤Ephr (23)
10%Egbr≤Egb≤Egbr (24)
Egbr=TgbdpgbnGb, i (25)
EPh, t-EPh, t1=(ηphcPPhc, t-PPhd, t/ηphd)ΔT (26)
EGb, t-EGb, t-1=(ηgbcPGbc, t-PGbd, t/ηgbd)ΔT (27)
E in formulaphAnd EgbThe respectively dump energy of pumped storage and battery, ηphcAnd ηphdThe respectively charge and discharge of pumped storage
Efficiency, ηgbcAnd ηgbdThe respectively charge and discharge efficiency of pumped storage；
(3.4) ground state operation assumes that constraint is as follows:
Ground state is without cutting load before formula (28) representing fault and energy storage is not contributed；Formula (29) indicates ground state energy storage dump energy
90%, EphAnd EgbThe respectively remaining capacity of pumped storage and battery；
(3.5) constraint of response time model is as follows:
P(), t-P(), t-1=0, t≤tr(·) (30)
Formula (30) indicates generator unit before reaching the respective response time, and each generator unit power output is constant, () packet
Containing thermoelectricity, pumped storage and battery；
(3.6) constraint of important load power demands model is as follows:
PCl, i≤βiPD, i (31)
PCl, t≤PCl, t-1 (33)
Formula (31) is maximum cutting load power constraint, it is desirable that cutting load power proportions are not above given value βi, βiAttach most importance to
Want load accounting；Formula (32) is that maximum load of losing constrains, δiLoad ratio is lost to be maximum after failure；Formula (33) indicates to wish
Cutting load power is smaller and smaller.
In an optional example, the step (4) specifically comprises the following steps:
Shown in catalogue scalar functions such as formula (34):
C=(Cph+Cgb)+CVOLL+10-1(Cthcut+Cwdcut+CESm)+10-3Cth (34)
It will be directed to parameter and three levels: 1) main target of optimization are classified as using Exchanger Efficiency with Weight Coefficient Method: comprising pumped storage
Invest CphC is invested with battery energy storagegb；2) it runs punitive element: losing Laden-Value comprising the expectation in energy storage life cycle management
CVOLL, cut machine punishment Cthcut, abandonment punish CwdcutWith storage energy operation maintenance cost CESm；3) thermal power unit operation cost Cth；
(4.1) main target of optimization method of determination is as follows:
Formula (35) is pumped storage investment, and comprising unit investment and the reservoir construction cost of drawing water, i is node serial number, nphFor configuration
Water pumper number of units, EphrFor the construction storage capacity of reservoir, pphFor the rated power of every water pumper, cphgAnd cpheRespectively draw water
The unit power cost of machine and the unit storage capacity cost of reservoir；
Formula (36) is battery investment, including battery power cost and cost of energy, ngbFor the battery unit number of configuration,
EgbrFor the battery capacity of configuration, pgbFor the rated power of each battery unit, cgbpAnd cgbeRespectively the unit power of battery at
Sheet and unit energy cost；
(4.2) operation punitive element method of determination is as follows:
Formula (37) is that Laden-Value, k are lost in expectation under the system failure in energy storage life cycle managementCl, iFor i-th given of section
The value coefficient of load at point, f are the frequency that electric system section part breaks down every year, TlifeFor the full longevity of energy-accumulating power station
It orders the period, segment number when t is, Δ T is the Period Length being partitioned into, and s is failure number, PclFor cutting load amount, psFor event every time
The probability that s kind failure occurs in barrier；Formula (38) is to cut machine punishment, PthcutFor the generator power of excision, cthcutIt is punished to cut machine
Penalty factor；Formula (39) is abandonment punishment, PwdcutFor abandonment power, cwdcutFor abandonment penalty coefficient；Formula (40) is abandonment punishment,
PphcWith PphdRespectively pumped storage charge and discharge power, PgbcWith PgbdRespectively charging, discharging electric batteries power, cphmWith cgbmRespectively take out
Store the unit discharge and recharge O&M expense with battery；
(4.3) operating cost method of determination is as follows:
Formula (41) is thermal power unit operation cost, PthFor thermal power output, cTh, iFor the unit power generation of thermoelectricity at i-th of node
Measure cost.
In an optional example, the step (5) is specifically included: using formula (34) as optimization aim, considering constraint
Formula (1)~formula (33) is solved based on MATLAB platform, obtains Network congestion and important load after reply block supply line fault
The composite energy storage configuration result of power demands.
In general, through the invention it is contemplated above technical scheme is compared with the prior art, have below beneficial to effect
Fruit:
1, the present invention can be by reasonable disposition composite energy storage, while coping with the trend that may occur after transmission line malfunction
Out-of-limit problem and power demands problem guarantee Operation of Electric Systems reliability；
2, the present invention can comprehensively utilize power-type energy storage and the respective advantage of energy type energy storage meets system to function simultaneously
The demand of rate and energy, to reduce energy storage investment；
3, the present invention can carry out sensitivity point to the key parameter for influencing energy storage configuration result by the method proposed
Analysis.
Detailed description of the invention
Fig. 1 is instance system 500kV/220kV network frame topology structure chart provided by the invention；
Fig. 2 is grid structure figure specific in region-of-interest in instance system provided by the invention；
Fig. 3 is multi-functional composite energy storage Optimal Configuration Method flow chart provided by the invention；
Fig. 4 is regional power grid line fault provided by the invention and service restoration flow diagram.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.As long as in addition, technical characteristic involved in the various embodiments of the present invention described below
Not constituting a conflict with each other can be combined with each other.
With the raising of energy storage cost being gradually reduced and responsible consumer power supply reliability requires, reasonable energy storage is matched
Scheme is set, can ensure that important load is powered when overhauling in area while alleviating route congestion in short-term.And composite energy storage configures
Optimization can comprehensively utilize power-type energy storage and the respective advantage of energy type energy storage, with the smallest load energy storage investment, solve simultaneously
The certainly out-of-limit problem of trend and power demands problem after line fault guarantee system operation reliability.Therefore, block supply line is coped with
The multi-functional composite energy storage Optimal Configuration Method of road failure is of great significance.
After block supply line fault, multiple types energy storage how is distributed rationally to reach comprehensive utilization different type storage
The respective advantage of energy copes with demand of the system to power and energy, is reducing energy storage investment while guaranteeing system operation reliability,
Provide a kind of multi-functional composite energy storage Optimal Configuration Method for coping with block supply line fault.
This method determines regional power grid line fault and service restoration process, then establishes and considers the generator unit response time
With the Operation of Electric Systems and energy storage allocation models of important load power demands index, then with energy storage life cycle management inner region confession
The minimum configuration target of the sum of Laden-Value and energy storage investment total cost is lost in expectation after line fault, asks finally by software
Solution model obtains energy storage allocation plan.
Example
Certain is selected to save modified 500kV/220kV power grid as example, as shown in Fig. 1.Totally 32 in the system
500kV node, 220 220kV nodes, total load 22020.7MW, other provinces interconnection feed-in power 4611MW, wind power output
2900MW shares thermoelectricity node at 41, total capacity 24204.5MW；Share 39 500kV line corridors, 333 220kV lines
Capacity is respectively 1600MW and 700MW under normal circumstances for road corridor, every 500kV route and 220kV route.Choose node 40 with
The some areas of 500kV node and its 220kV node region of covering as concern at 45 liang of node, around 220kV rack
It is topological as shown in Fig. 2.There are 2 500kV nodes, 18 220kV nodes, total load 3867.85MW in this area；Have in area
Thermoelectricity node at three, total capacity 2270MW；Three 500kV routes are shared on section between this area and external major network, are broken
The total 4800MW of face amount, trend mode is 500kV route powers 2133MW to region internal loading, generator output in region
1734.85MW.Assuming that thermoelectricity Ramp Rate be 1% capacity per minute, battery power station power cost be 5000 yuan/kW, energy at
This is 2000 yuan/kWh, efficiency for charge-discharge 90%；Pump-up power station power cost be 5000 yuan/kW, cost of energy be 1000 yuan/
KWh, efficiency for charge-discharge 75%；Assuming that energy-accumulating power station life cycle is 10 years.Separate unit water pumper capacity is 300MW, single battery
Capacity is 5MW, pumped storage and battery allow to configure power and upper energy limit is sufficiently large.Pay close attention to the insignificant Laden-Value of local
It is set as 30 yuan/kWh, important load value is set as 10,000 times, i.e. 300000 yuan/kWh of non-key load, wherein insignificant load
The 20% of total load inside the domain of occupied area, important load accounts for the 80% of local total load.Assuming that section part failure-frequency is 1
Times/year, it is respectively 20%, 12% and 4% that each fault interrupting, which opens a line, disconnects two lines and disconnect the probability of three lines,.
Assuming that failure afterload remains unchanged, need to guarantee power demands of the load in 8 hours corrective maintenance times.Given thermoelectricity and
The pumped storage unit response time is 5min, and important load power demands are set as: 1) not allowing to cut off important load, i.e. permission maximum is cut
Load is 20%；2) local power supply total amount is not less than 90%.
Therefore, the present invention provides a kind of multi-functional composite energy storage Optimal Configuration Method for coping with block supply line fault,
As shown in Figure 3, comprising the following steps:
Step 1: collecting studied each element economic technology parameter of electric system
Each element of electric system includes AC network, interconnection, fired power generating unit, Wind turbines and energy-storage travelling wave tube, storage
Energy element includes but is not limited to water-storage and battery energy storage.
Each component parameters contain:
1) AC network node number Nb, node burden with power Pd, node maximum cutting load power accounting β, node mistake load
Value coefficient kcl, maximum allowable mistake power load ratio beta after failure；
2) AC network number of lines Nl, route first and last end node number, line reactance per unit value x, route longtime running
Allow trend upper limit Plmax；System reference capacity Sb, system requirements percentage reserve α；
3) node serial number where fired power generating unit, technology power output bound PthmaxAnd Pthmin, dynamic power output bound PthUWith
PthD, maximum climbing rate r up and downUthAnd rDth, fired power generating unit response time trth, thermoelectricity operating cost cth, cut machine amount penalty coefficient
cthcut；
4) node serial number where Wind turbines, Wind turbines power output Pwd, abandonment amount penalty coefficient cwdcut；Where interconnection
Node, interconnection absorb power P from nodeto；
5) the maximum allowable construction water pumper number of units K of hydroenergy storage stationphg, water pumper rated power pph, water pumper electric discharge function
Rate bound pphdminAnd pphdmax, water pumper charge power pphc, the maximum creep speed r up and down of pumped storage unitUphAnd rDph, pumped storage
Unit response time trph, maximum allowable construction reservoir ENERGY Ephrmax, pumped storage efficiency for charge-discharge ηphcAnd ηphd, pumped storage depth of discharge
Dph, pumped storage power configuration cost coefficient cphg, pumped storage energy reversal cost coefficient cphe, pumped storage operation expense cphm；
6) the maximum allowable configuration battery unit number N of battery energy storagegb, battery unit rated power pgb, maximum allowable configuration
Energy content of battery Egbrmax, battery efficiency ηgbcAnd ηgbd, battery discharge depth Dgb, power of battery deployment cost coefficient cgbp,
Energy content of battery deployment cost coefficient cgbe, battery operation maintenance cost cgbm；
7) energy storage life cycle management Tlife, corrective maintenance time T, institute's research area's node serial number, study power supply section
Circuit number, section year failure-frequency f, the various fault rate p of section.
Step 2: determining regional power grid line fault and service restoration process
Regional power system terminates after line fault occurs to maintenance, the regional power grid line fault and service restoration stream
Journey is as shown in Fig. 4, is divided into load power supply and recovery process during urgent trend evacuation process in short-term and line maintenance.
(2.1) urgent trend evacuates process in short-term
After line failure, network frame topology changes, and trend is redistributed, and the urgent out-of-limit event of trend easily occurs.First
Whether judgement has Line Flow to reach the transmission capacity upper limit in short-term or system sectionalizing occur after a failure, if it is tight Line Flow occur
Anxious out-of-limit or system sectionalizing event is unable to fully adjustment power output in the fired power generating unit short time at this time, to guarantee system safety, will lead to
It crosses and cuts the measures such as machine-cut load to alleviate Line Flow out-of-limit or system power is uneven；Or configuration energy storage is as the short time after failure
Interior power support, avoids cutting machine-cut load.It adjusts unit output later, alleviates caused by Line Flow is out-of-limit or system sectionalizing
Unbalanced power.
The transmission capacity upper limit is that route longtime running allows 1.2 times of the trend upper limit to the route in short-term, when allowing to continue
Between the upper limit be 30min.
(2.2) load power supply and recovery during line maintenance
If generating set capacity is sufficient in region, after adjustment generating set power output generally can complete incidence graph Line Flow it is out-of-limit
Or unbalanced power caused by system sectionalizing, restore load power supply.But often after line fault, since transmission capacity limits,
Region interior power is insufficient, is unable to satisfy load power demands.It, can be in entire trouble hunting if distributing a certain amount of energy storage rationally
Period powers to important load.After route completes maintenance, restore all load power supplies in region.
Step 3: establish the Operation of Electric Systems for considering generator unit response time and important load power demands index and
Energy storage allocation models
Corrective maintenance time divides the period as described below in the model: in first 30min after failure, with 5min
For a period；After failure in 30min to the 2h time, with 15min for a period；After failure after 2h, with 1h for a period.
Above-mentioned dividing method can be adjusted according to actual needs.
The model includes following constraint condition, wherein the variable containing subscript b is ground state variable before failure, contains subscript
The variable of s is the variable occurred after s kind failure, and segment number when subscript t is locating for variable, the variable containing subscript i is i-th
Relevant variable at node, the variable containing subscript j are the relevant variable on j-th strip route, subscript or subscript in partially restrained
In a part be omitted, represent and subscript be omitted for this or all values that subscript can be got all meet.
(3.1) Operation of Electric Systems model
Operation of Electric Systems constraint is as follows:
|PL, j|≤PLmax, j (3)
Formula (1) is node power Constraints of Equilibrium, PthFor fired power generating unit power output, PphFor the electric discharge of pumped storage unit, PgbFor battery storage
Energy discharge capacity, PdFor load demand, PclFor cutting load amount, MlFor node incidence matrix, PlFor the trend on route.By direct current
Tide model, PlIt can be calculated such as formula (2), S is the sensitivity matrix being derived by by DC flow model, while PlTide need to be met
It flows constraint formula (3), PlmaxFor the trend upper limit that route allows, there are two kinds of value in short-term and long duration.Formula (4) and formula (5) are rotation
Reserve Constraint, PthUAnd PthDRespectively generator is actually contributed bound under climbing limitation, and α is percentage reserve.
(3.2) unit moving model
Thermal power unit operation constraint is as follows
Pthmin≤PthD≤Pth≤PthU≤Pthmax (6)
PThU, t≤PTh, t-1+rUPthmaxΔT (7)
PThD, t≥PTh, t-1-rDPthmaxΔT (8)
Formula (6) is thermal power output range constraint, PthmaxAnd PthminRespectively generator techniques power output bound；Formula (7) with
Formula (8) is generator Climing constant, rUAnd rDThe respectively upper and lower creep speed of fired power generating unit, Δ T are the period being partitioned into.
(3.3) energy storage configuration and moving model
1) energy storage configuration constraint
Ephr≤Ephrmax, Egbr≤Egbrmax (11)
Formula (9) and formula (10) are respectively to allow to configure draw water unit and the constraint of battery pack number, nphgTo configure the board that draws water
Number, KiFor the unit number of units of drawing water of maximum allowable construction at i-th of node, k is the number of water pumper, IPhg, ikFor 01 variable, generation
Whether kth platform unit is built at i-th of node of table；ngbTo configure battery unit number, NGb, iIt is maximum allowable at i-th of node
Configure battery unit number, Hi=[log2NGb, i], it is NGb, iTotal bit when being expressed with binary number, h are binary digit
Number, xGb, ihWhether h to configure battery unit number at i-th of node be 0；Formula (11) is the energy of pumped storage and battery
Upper limit constraint, EphrAnd EgbrThe respectively configuration energy of pumped storage and battery, EphrmaxAnd EgbrmaxRespectively pumped storage and battery be most
It is big to allow configuration energy.
2) energy storage charging and discharging state constrains
CPh, ik≤1-UPh, i, DPh, ik≤UPh, i (12)
CPh, ik+DPh, ik≤IPh, ik (13)
CGb, ih≤1-UGb, i, DGb, ih≤UGb, i (14)
CGb, ih+DGb, ih≤xGb, ih (15)
C in formulaPh, ikAnd CGb, ihRespectively in pump-up power station 2 in kth platform water pumper and battery energy storageh-1A battery unit
Charged state charges if 1, does not charge then if 0；DPh, ikAnd DGb, ihKth platform water pumper and electricity respectively in pump-up power station
2 in the energy storage of pondh-1The discharge condition of a battery unit is discharged if 1, is not discharged then if 0；UPh, iAnd UGb, iRespectively pumped storage
It with the charging and discharging state of battery entirety, discharges if 1, charges if 0.
3) energy storage charge-discharge electric power constrains
Pph=Pphd-Pphc, Pgb=Pgbd-Pgbc (16)
pphdminDPh, ik≤PPhd, ik≤pphdmaxDPh, ik (19)
PPhc, ik=pphcCPh, ik (20)
0≤PGbd, ih≤2h-1pgbDGb, ih (21)
0≤PGbc, ih≤2h-1pgbCGb, ih (22)
P in formulaphAnd PgbRespectively pumped storage and the battery power that integrally injects power grid, PPhd, ikAnd PPhc, ikRespectively kth platform
The electric discharge of water pumper and charge power, pphdminAnd pphdmaxThe respectively minimum value and maximum value of water pumper discharge power, pphcFor
Water pumper charge power, PGbd, ihAnd PGbc, ihRespectively 2h-1The discharge power and charge power of a battery unit.
4) remaining capacity and variation constraint
10%Ephr≤Eph≤Ephr (23)
10%Egbr≤Egb≤Egbr (24)
Egbr=TgbdpgbnGb, i (25)
EPh, t-EPh, t-1=(ηphcPPhc, t-Pphd,t/ηphd)ΔT (26)
EGb, t-EGb, t-1=(ηgbcPGbc, t-PGbd, t/ηgbd)ΔT (27)
E in formulaphAnd EgbThe respectively dump energy of pumped storage and battery, ηphcAnd ηphdThe respectively charge and discharge of pumped storage
Efficiency, ηgbcAnd ηgbdThe respectively charge and discharge efficiency of pumped storage.
(3.4) ground state operation is assumed
Ground state is without cutting load before formula (28) representing fault and energy storage is not contributed；Formula (29) indicates ground state energy storage dump energy
90%, EphAnd EgbThe respectively remaining capacity of pumped storage and battery.
(3.5) response time model
P(), t-P(), t-1=0, t≤tr(·) (30)
Formula (30) generator unit is before reaching the respective response time, and each generator unit power output is constant, and () includes fire
Electricity, pumped storage and battery.
(3.6) important load power demands model
PCl, i≤βiPD, i (31)
PCl, t≤PCl, t-1 (33)
Formula (31) is maximum cutting load power constraint, it is desirable that cutting load power proportions are not above given value βi, βiAttach most importance to
Want load accounting；Formula (32) is that maximum load of losing constrains, δiLoad ratio is lost to be maximum after failure；Formula (33) indicates to wish
Cutting load power is smaller and smaller.
Step 4: selected energy storage configures target
The energy storage configuration main target is that load is lost in the expectation after energy storage life cycle management inner region power supply line failure
The sum of value and energy storage investment total cost are minimum.The catalogue scalar functions such as formula (34) calculates, using Exchanger Efficiency with Weight Coefficient Method by its point
For three levels:
1) main target of optimization invests C comprising pumped storagephC is invested with battery energy storagegb；
2) punitive element is run, loses Laden-Value C comprising the expectation in energy storage life cycle managementVOLL, cut machine punishment
Cthcut, abandonment punish CwdcutWith storage energy operation maintenance cost CESm, that is, wish run when as far as possible not cutting load, do not cut machine, do not abandon
Wind uses energy storage less；
3) thermal power unit operation cost, i.e. Cth, it is desirable to the operation of lower expense.
C=(Cph+Cgb)+CVOLL+10-1(Cthcut+Cwdcut+CESm)+10-3Cth (34)
In view of in actual motion, for power-balance problem after failure, most economical means are adjustment thermal power outputs；If
Adjustment thermal power output is unable to satisfy requirement, then using the measures such as abandonment or the general load of excision；It is unable to satisfy in these methods
In the case where it is required that, just consider that configuration energy storage solves the problems, such as.Therefore the weight coefficient of three parts is distinguished in the catalogue scalar functions
It is selected as 1,0.1 and 0.001.
(4.1) main target of optimization
Formula (35) is pumped storage investment, and comprising unit investment and the reservoir construction cost of drawing water, i is node serial number, nphFor configuration
Water pumper number of units, EphrFor the construction storage capacity of reservoir, pphFor the rated power of every water pumper, cphgAnd cpheRespectively draw water
The unit power cost of machine and the unit storage capacity cost of reservoir.
Formula (36) is battery investment, including battery power cost and cost of energy, ngbFor the battery unit number of configuration,
EgbrFor the battery capacity of configuration, pgbFor the rated power of each battery unit, cgbpAnd cgbeRespectively the unit power of battery at
Sheet and unit energy cost.
(4.2) punitive element is run
Formula (37) is that Laden-Value, k are lost in expectation under the system failure in energy storage life cycle managementCl, iFor i-th given of section
The value coefficient of load at point, f are the frequency that electric system section part breaks down every year, TlifeFor the full longevity of energy-accumulating power station
It orders the period, segment number when t is, Δ T is Period Length, and s is failure number, PclFor cutting load amount, psFor s kind in each failure
The probability that failure occurs.
Formula (38) is to cut machine punishment, PthcutFor the generator power of excision, cthcutTo cut machine penalty coefficient.
Formula (39) is abandonment punishment, PwdcutFor abandonment power, cwdcutFor abandonment penalty coefficient.It cuts machine and abandonment situation is sent out
Life is in power surplus region, to this without detailed analysis.
Formula (40) is abandonment punishment, PphcWith PphdRespectively pumped storage charge and discharge power, PgbcWith PgbdRespectively battery fill,
Discharge power, cphmWith cgbmThe respectively unit discharge and recharge O&M expense of pumped storage and battery.
(4.3) operating cost
Formula (41) is thermoelectricity operating cost, PthFor thermal power output, cTh, iFor thermoelectricity at i-th of node unit generated energy at
This.
Step 5: energy storage allocation models being solved by business software and obtains energy storage allocation plan
1 composite energy storage configuration result of table
Using formula (34) as optimization aim, consider constraint formula (1)~formula (33), reply block supply as proposed in this paper
The composite energy storage Optimal Allocation Model of Network congestion and important load power demands after line fault.The model can be based on MATLAB
Platform is solved by software GUROBI, obtains Network congestion and important load power demands after reply block supply line fault
Composite energy storage allocation plan, as shown in table 1.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all include
Within protection scope of the present invention.
Claims (6)
1. a kind of energy storage Optimal Configuration Method for coping with block supply line fault, which comprises the following steps:
Step (1), collects the parameter of each element of electric system, and each element of electric system includes AC network, interconnection, fire
Motor group, Wind turbines and energy-storage travelling wave tube, energy-storage travelling wave tube include hydroenergy storage station, various electrochemical energy storages, heat accumulation, flywheel
Energy storage, super capacitor, super conductive magnetic storage energy and compressed-air energy storage element, the parameter include number parameter, number parameter, up and down
Limit parameter, power parameter, economic parameters, cycle parameter or fault parameter；
Step (2) by cutting machine-cut load or configuration power-type energy storage, and is adjusted if line fault occurs for the electric system
Whole fired power generating unit or Wind turbines power output are alleviated unbalanced power caused by Line Flow is out-of-limit or system sectionalizing, are being matched
On the basis of setting power-type energy storage, distribute a certain amount of energy storage rationally, with during guaranteeing trouble hunting to load power demands；
Step (3) is established based on the parameter of each element and is considered that the generator unit response time refers to important load power demands
Target Operation of Electric Systems and energy storage allocation models；
Step (4) selectes energy storage and configures target, so that composite energy storage investment total cost, the power supply of energy storage life cycle management inner region
Expectation after line fault runs punishment and the weighted sum of operating cost is minimum；
Step (5) solves the Operation of Electric Systems and energy storage allocation models obtains using energy storage configuration target as optimization aim
To energy storage configuration result.
2. the energy storage Optimal Configuration Method of reply block supply line fault according to claim 1, which is characterized in that institute
The parameter for telling each element in step (1) includes:
AC network node number Nb, node burden with power Pd, node maximum cutting load power accounting β, node mistake Laden-Value system
Number kcl, maximum allowable mistake power load ratio beta after failure；
AC network number of lines Nl, route first and last end node number, line reactance per unit value x, route longtime running permission trend
Upper limit Plmax；System reference capacity Sb, system requirements percentage reserve α；
Node serial number where fired power generating unit, technology power output bound PthmaxAnd Pthmin, dynamic power output bound PthUAnd PthD, maximum
Upper and lower climbing rate rUthAnd rDth, fired power generating unit response time trth, thermoelectricity operating cost cth, cut machine amount penalty coefficient cthcut；
Node serial number where Wind turbines, Wind turbines power output Pwd, abandonment amount penalty coefficient cwdcut；Node where interconnection, connection
Winding thread absorbs power P from nodeto；
The maximum allowable construction water pumper number of units K of hydroenergy storage stationphg, water pumper rated power pph, above and below water pumper discharge power
Limit pphdminAnd pphdmax, water pumper charge power pphc, the maximum creep speed r up and down of pumped storage unitUphAnd rDph, pumped storage unit sound
T between seasonablerph, maximum allowable construction reservoir ENERGY Ephrmax, pumped storage efficiency for charge-discharge ηphcAnd ηphd, pumped storage depth of discharge Dph, take out
Store power configuration cost coefficient cphg, pumped storage energy reversal cost coefficient cphe, pumped storage operation expense cphm；
The maximum allowable configuration battery unit number N of battery energy storagegb, battery unit rated power pgb, maximum allowable configuration battery energy
Measure Egbrmax, battery efficiency ηgbcAnd ηgbd, battery discharge depth Dgb, power of battery deployment cost coefficient cgbp, battery energy
Measure deployment cost coefficient cgbe, battery operation maintenance cost cgbm；
Energy storage life cycle management Tlife, corrective maintenance time T, institute's research area's node serial number, study power supply section route compile
Number, section year failure-frequency f, the various fault rate p of section.
3. the energy storage Optimal Configuration Method of reply block supply line fault according to claim 1, which is characterized in that institute
Stating step (2) includes load power supply and recovery process during urgent trend evacuation process and line maintenance in short-term, specifically include as
Lower step:
(2.1) urgent trend evacuates process in short-term
After line failure, network frame topology changes, and trend is redistributed, and the urgent out-of-limit event of trend easily occurs, and judges in event
Whether there is Line Flow to reach the transmission capacity upper limit in short-term or system sectionalizing occur after barrier, if occur Line Flow it is urgent out-of-limit or
System sectionalizing event, by cutting, the measures such as machine-cut load alleviation Line Flow is out-of-limit or system power is uneven；Or configuration energy storage
As the power support in the short time after failure, avoids cutting machine-cut load, adjust unit output later, it is out-of-limit to alleviate Line Flow
Or unbalanced power caused by system sectionalizing；
(2.2) load power supply and recovery during line maintenance
It distributes a certain amount of energy storage rationally, important load power supply can be met during entire trouble hunting, after route completes maintenance,
Restore all load power supplies in region.
4. the energy storage Optimal Configuration Method of reply block supply line fault according to claim 1 or 2, feature exist
In the step (3) specifically includes following constraint condition:
Corrective maintenance time can divide the period according to preset rules in the model；
The model includes following constraint condition, wherein the variable containing subscript b is ground state variable before failure, contains subscript s's
Variable is the variable occurred after s kind failure, and segment number when subscript t is locating for variable, the variable containing subscript i is i-th of section
The relevant variable at point place, the variable containing subscript j are the relevant variable on j-th strip route, in partially restrained in subscript or subscript
A part be omitted, represent and subscript be omitted for this or all values that subscript can be got all meet；
(3.1) Operation of Electric Systems model, Operation of Electric Systems constraint are as follows:
|PL, j|≤Plmaxj (3)
Formula (1) is node power Constraints of Equilibrium, PthFor fired power generating unit power output, PphFor the electric discharge of pumped storage unit, PgbIt is put for battery energy storage
Electricity, PdFor load demand, PclFor cutting load amount, MlFor node incidence matrix, PlFor the trend on route, by DC power flow
Model, PlIt can be calculated such as formula (2), S is the sensitivity matrix being derived by by DC flow model, while PlTrend need to be met about
Beam formula (3), PlmaxFor the trend upper limit that route allows, there are two kinds of value in short-term and long duration, formula (4) and formula (5) are spinning reserve
Constraint, PthUAnd PthDRespectively generator is actually contributed upper and lower limit under climbing limitation, and α is percentage reserve；
(3.2) unit moving model, thermal power unit operation constraint are as follows:
Pthmin≤PthD≤Pth≤PthU≤Pthmax (6)
PThU, t≤PTh, t-1+rUPthmaxΔT (7)
PThD, t≥PTh, t-1-rDPthmaxΔT (8)
Formula (6) is thermal power output range constraint, PthmaxAnd PthminRespectively generator techniques power output bound；Formula (7) and formula (8)
For generator Climing constant, rUAnd rDThe respectively upper and lower creep speed of fired power generating unit, Δ T are the Period Length being partitioned into；
(3.3) energy storage configuration and moving model
(3.3.1) energy storage configuration constraint is as follows:
Ephr≤Ephrmax, Egbr≤Egbrmax (11)
Formula (9) and formula (10) are respectively to allow to configure draw water unit and the constraint of battery pack number, nphgTo configure water pumper number of units, Ki
For the unit number of units of drawing water of maximum allowable construction at i-th of node, k is the number of water pumper, IPhg, ikFor 01 variable, i-th is represented
Whether kth platform unit is built at a node；ngbTo configure battery unit number, NGb, iFor maximum allowable configuration at i-th of node
Battery unit number, Hi=[log2NGb, i], it is NGb, iTotal bit when being expressed with binary number, h are the volume of binary digit
Number, xGb, ihWhether h to configure battery unit number at i-th of node be 0；Formula (11) is on the energy of pumped storage and battery
Limit constraint, EphrAnd EgbrThe respectively configuration energy of pumped storage and battery, EphrmaxAnd EgbrmaxThe respectively maximum of pumped storage and battery
Allow configuration energy；
The constraint of (3.3.2) energy storage charging and discharging state is as follows:
CPh, ik≤1-UPh, i, DPh, ik≤UPh, i (12)
CPh, ik+DPh, ik≤IPh, ik (13)
CGb, ih≤1-UGb, i, DGb, ih≤UGb, i (14)
CGb, ih+DGb, ih≤xGb, ih (15)
C in formulaPh, ikAnd CGb, ihRespectively in pump-up power station 2 in kth platform water pumper and battery energy storageh-1The charging of a battery unit
State；DPh, ikAnd DGb, ihRespectively in pump-up power station 2 in kth platform water pumper and battery energy storageh-1The electric discharge shape of a battery unit
State；UPh, iAnd UGb, iThe respectively charging and discharging state of pumped storage and battery entirety；
The constraint of (3.3.3) energy storage charge-discharge electric power is as follows:
Pph=Pphd-Pphc, Pgb=Pgbd-Pgbc (16)
pphdminDPh, ik≤PPhd, ik≤pphdmaxDPh, ik (19)
PPhc, ik=pphcCPh, ik (20)
0≤PGbd, ih≤2h-1pgbDGb, ih (21)
0≤PGbc, ih≤2h-1pgbCGb, ih (22)
P in formulaphAnd PgbRespectively pumped storage and the battery power that integrally injects power grid, PPhd, ikAnd PPhc, ikRespectively kth platform draws water
The electric discharge of machine and charge power, pphdminAnd pphdmaxThe respectively minimum value and maximum value of water pumper discharge power, pphcTo draw water
Machine charge power, PGbd, ihAnd PGbc, ihRespectively 2h-1The discharge power and charge power of a battery unit；
(3.3.4) remaining capacity and variation constraint are as follows:
10%Ephr≤Eph≤Ephr (23)
10%Egbr≤Egb≤Egbr (24)
Egbr=TgbdpgbnGb, i (25)
EPh, t-EPh, t1=(ηphcPPhc, t-PPhd, t/ηphd)ΔT (26)
EGb, t-EGb, t-1=(ηgbcPGbc, t-PGbd, t/ηgbd)ΔT (27)
E in formulaphAnd EgbThe respectively dump energy of pumped storage and battery, ηphcAnd ηphdThe respectively charge and discharge efficiency of pumped storage,
ηgbcAnd ηgbdThe respectively charge and discharge efficiency of pumped storage；
(3.4) ground state operation assumes that constraint is as follows:
Ground state is without cutting load before formula (28) representing fault and energy storage is not contributed；Formula (29) indicates ground state energy storage dump energy 90%,
EphAnd EgbThe respectively remaining capacity of pumped storage and battery；
(3.5) constraint of response time model is as follows:
P(), t-P(), t-1=0, t≤tr(·) (30)
Formula (30) indicates generator unit before reaching the respective response time, and each generator unit power output is constant, and () includes fire
Electricity, pumped storage and battery；
(3.6) constraint of important load power demands model is as follows:
PCl, i≤βiPD, i (31)
PCl, t≤PCl, t-1 (33)
Formula (31) is maximum cutting load power constraint, it is desirable that cutting load power proportions are not above given value βi, βiIt is as important negative
Lotus accounting；Formula (32) is that maximum load of losing constrains, δiLoad ratio is lost to be maximum after failure；Formula (33) expression is wished to cut negative
Lotus power is smaller and smaller.
5. the energy storage Optimal Configuration Method of reply block supply line fault according to claim 4, which is characterized in that institute
Step (4) is stated to specifically comprise the following steps:
Shown in catalogue scalar functions such as formula (34):
C=(Cph+Cgb)+10-1(CVOLL+Cthcut+Cwdcut+CESm)+10-3Cth (34)
It will be directed to parameter and three levels: 1) main target of optimization are classified as using Exchanger Efficiency with Weight Coefficient Method: be invested comprising pumped storage
CphC is invested with battery energy storagegb；2) it runs punitive element: losing Laden-Value C comprising the expectation in energy storage life cycle managementVOLL、
Cut machine punishment Cthcut, abandonment punish CwdcutWith storage energy operation maintenance cost CESm；3) thermal power unit operation cost Cth；
(4.1) main target of optimization method of determination is as follows:
Formula (35) is pumped storage investment, and comprising unit investment and the reservoir construction cost of drawing water, i is node serial number, nphFor the pumping of configuration
Water dispenser number of units, EphrFor the construction storage capacity of reservoir, pphFor the rated power of every water pumper, cphgAnd cpheRespectively water pumper
The unit storage capacity cost of unit power cost and reservoir；
Formula (36) is battery investment, including battery power cost and cost of energy, ngbFor the battery unit number of configuration, Egbr
For the battery capacity of configuration, pgbFor the rated power of each battery unit, cgbpAnd cgbeThe respectively unit power cost of battery
With unit energy cost；
(4.2) operation punitive element method of determination is as follows:
Formula (37) is that Laden-Value, k are lost in expectation under the system failure in energy storage life cycle managementCl, iTo be born at i-th given of node
The value coefficient of lotus, f are the frequency that electric system section part breaks down every year, TlifeFor week life-cycle of energy-accumulating power station
Phase, segment number when t is, Δ T are the Period Length being partitioned into, and S is failure number, PclFor cutting load amount, psFor in each failure
The probability that s kind failure occurs；
Formula (38) is to cut machine punishment, PthcutFor the generator power of excision, cthcutTo cut machine penalty coefficient；Formula (39) is punished for abandonment
It penalizes, PwdcutFor abandonment power, cwdcutFor abandonment penalty coefficient；Formula (40) is abandonment punishment, PphcWith PphdRespectively pumped storage fill,
Discharge power, PgbcWith PgbdRespectively charging, discharging electric batteries power, cphmWith cgbmThe respectively unit discharge and recharge of pumped storage and battery
O&M expense；
(4.3) operating cost method of determination is as follows:
Formula (41) is thermal power unit operation cost, PthFor thermal power output, cTh, iFor thermoelectricity at f-th of node unit generated energy at
This.
6. the energy storage Optimal Configuration Method of reply block supply line fault according to claim 5, which is characterized in that institute
It states step (5) to specifically include: using formula (34) as optimization aim, considering constraint formula (1)~formula (33), asked based on MATLAB platform
Solution obtains the composite energy storage configuration result of Network congestion and important load power demands after reply block supply line fault.
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| CN111628492B (en) * | 2020-04-13 | 2021-11-09 | 四川大学 | Power grid blocking management and control method with cooperation of high-voltage distribution network partition reconstruction and energy storage |
| CN113822457A (en) * | 2020-06-19 | 2021-12-21 | 华为技术有限公司 | Battery type selection method, device, equipment and system |
| CN112906200A (en) * | 2021-01-25 | 2021-06-04 | 国网山西省电力公司电力科学研究院 | Power system energy storage configuration method and device, computer equipment and storage medium |
| CN112906200B (en) * | 2021-01-25 | 2022-12-30 | 国网山西省电力公司电力科学研究院 | Power system energy storage configuration method and device, computer equipment and storage medium |
| CN113569449A (en) * | 2021-07-13 | 2021-10-29 | 内蒙古工业大学 | Method, equipment and medium for optimizing finite element model of motor for flywheel energy storage |
| CN113569449B (en) * | 2021-07-13 | 2023-06-20 | 内蒙古工业大学 | Method, equipment and medium for optimizing finite element model of motor for flywheel energy storage |
| CN115276055A (en) * | 2022-08-31 | 2022-11-01 | 华中科技大学 | Energy storage configuration method and system based on power grid frequency spatial distribution characteristics |
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