CN115276068A - Large-scale energy storage power station power cooperative control method considering economy and safety - Google Patents
Large-scale energy storage power station power cooperative control method considering economy and safety 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
- H02J15/00—Systems for storing electric 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
- H02J3/002—Flicker reduction, e.g. compensation of flicker introduced by non-linear load
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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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/00302—Overcharge protection
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/00306—Overdischarge protection
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/02—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from ac mains by converters
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/02—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from ac mains by converters
- H02J7/04—Regulation of charging current or voltage
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Abstract
The invention discloses a large-scale energy storage power station power cooperative control method considering economy and safety. Starting from the purpose of optimizing the energy storage system to economically respond to the power grid dispatching command, when the energy storage power station receives a power command of a power grid dispatching center, firstly, fault detection is carried out on each battery pack, SOC information is collected, power constraint factors of each battery pack are calculated, and if the state information of each battery pack is consistent with the number of effective battery units, the SOC state and the like, each battery pack bears dispatching power in an evenly distributed mode; if the state information of each battery pack is inconsistent, calculating and distributing the optimal output power of each battery pack by taking economic optimization as a target, and finally realizing power cooperative control by responding to the active output instruction by each unit in the battery pack. The invention has clear optimization algorithm, simple control structure and convenient engineering realization, can maintain the safety of the battery in the energy storage system while responding to the requirement of the power grid dispatching instruction, and realizes economic optimized operation.
Description
Technical Field
The invention relates to the technical field of energy storage, in particular to a large-scale energy storage power station power cooperative control method considering economy and safety.
Background
With the increasing proportion of installed capacity of clean energy sources such as wind power and photovoltaic in a power grid, the rotational inertia of the power grid is gradually reduced, and in addition, the new energy sources have intermittent and uncertain output characteristics, which bring great impact on the frequency stability of the power grid, so that the power grid urgently needs fast frequency modulation resources. The battery energy storage system has the characteristic of quick charge and discharge, has irreplaceable effects in the aspects of new energy grid-connected power generation, participation in power grid auxiliary service and the like, and has become one of important means for assisting power grid frequency modulation in recent years.
The battery energy storage power station has the advantages that the dispatching command of a power grid can be responded quickly, but the early investment cost is high, the cost of the storage battery is high, and the service life is short.
When an existing large-scale energy storage power station participates in power grid dispatching, power instructions issued by a power grid dispatching center are generally distributed to battery units in an average mode, attention on internal running states of the battery units, such as SOC (system on chip), fault conditions and the like, is not enough, in addition, influences on power distribution caused by battery running cost are rarely considered, and therefore, an economic power cooperative control method for the energy storage power station still needs to be strengthened.
Disclosure of Invention
The invention aims to overcome the defect that the attention on the operation safety and the economical efficiency of a battery is insufficient when the existing energy storage power station participates in power grid dispatching, and provides a large-scale energy storage power station power cooperative control method considering the economical efficiency and the safety. On one hand, the output power of the energy storage unit can be restrained according to the SOC of each battery pack unit, the service life loss of the battery due to excessive charging and discharging is reduced, and the safe operation of the energy storage power station is realized; and on the other hand, aiming at the power grid dispatching instruction, according to the proposed optimization algorithm of the battery operation cost, economic power distribution is carried out on each battery pack, and economic operation of the energy storage power station is realized.
In order to achieve the technical purpose, the technical scheme of the invention is that,
a large-scale energy storage power station power cooperative control method considering economy and safety comprises the following steps:
when an instruction for requiring the energy storage power station to participate in power grid frequency modulation is received, battery state information detection is carried out on each battery pack of the energy storage power station;
calculating power constraint factors of each battery pack according to the battery state information, and determining a battery charging and discharging power limit value;
if the state information of each battery pack is consistent, the scheduling power is born in a mode of evenly distributing each battery pack, and the maximum charging and discharging power does not exceed an allowable limit value; if the state information of each battery pack is inconsistent, correcting the output power of each battery pack so as to distribute the optimal output power of each battery pack;
and step four, each battery pack executes output according to the distribution mode in the step three, so that the power cooperative control of the large-scale energy storage power station is realized.
In the method, in the first step, the detecting of the battery state information includes detecting whether a battery cell in each battery pack has a fault and detecting a state of charge SOC of each battery cell.
The method, the second step includes:
step 1, an energy storage power station comprises n battery packs, each battery pack is composed of k battery units, and firstly, the battery packs are marked according to fault information in battery state informationLine stateη i Whereini=1……k(ii) a If the battery cell is in a faulty state,η i =0, otherwiseη i =1；
Step 2, according to the state of charge SOC in the battery state information i To calculate the average state of charge SOC of each battery pack j In whichj=1……n：
Step 3, according to the SOC j Obtaining power constraint factors for each battery packλ j ；
Step 4, based onλ j Obtaining a cell stack charging power limitP cha,j And discharge power limitP discha,j ：
Wherein the content of the first and second substances,P 0 representing the rated charge and discharge power of the stored energy;
the charging power of the battery cell groupP j The value range is as follows:
the method, in step 3, the power constraint factorλ j Is about SOC j The value range of the piecewise function of (1) is [0,1 ]]Will SOC j The method is divided into 5 intervals and is designed according to the following method:
when the SoC is j ∈[0，SoC min ]Then, the discharge depth of the battery unit exceeds the safety limit, and only charging can be performed:
when SoC j ∈[SoC min ，SoC low ]Then the cell cannot be fully discharged:
when the SoC is j ∈[SoC low ，SoC high ]Then the battery unit can be charged and discharged at full power:
when SoC j ∈[SoC high ，SoC max ]Then the battery cell cannot be fully charged:
when the SoC is j ∈[SoC max ，1]Then the battery is in an overcharged state, only allowing to discharge:
wherein, soC min 、SoC low 、SoC high And SoC max Dividing parameters for the battery state area;δto adjust the parameters.
In the method, in the third step, the step of correcting the output power of each battery pack so as to allocate the optimal output power of each battery pack includes:
step 1), calculating the maximum charging power limit value of the whole energy storage power stationP all, chamax And maximum discharge power limitP all, dischamax ：
Step 2), calculating the operation cost of each battery cell group participating in schedulingC(P j )：
The life of the energy storage cell is recordedSExpressed as:
wherein the content of the first and second substances,L R the cycle life of the energy storage battery is counted by times;D R for the purpose of the depth of discharge DoD,C R the rated Ah capacity of energy storage under an ideal state;
the equivalent charging and discharging processes are carried out, so that the equivalent charging and discharging power of the energy storage battery in each operationd eff Comprises the following steps:
wherein the content of the first and second substances,D A is the actual DoD value;C A the actual Ah capacity under the current discharge current;u 0 andu 1 is a fitting coefficient;erepresents a natural constant; first, thejActual discharge capacity of each cell groupd A,j Comprises the following steps:
wherein, V jES, Is a firstjTerminal voltages of the respective cell groups;
represents a differential over time;
to a first orderjThe initial investment cost of each battery cell group isC inv,i Then, thenC inv,i /SIs shown inCost per ampere hour under standard cycle life; note bookk jDR, The price for energy storage to participate in dispatching is given by $/kWhjOperating cost of each battery cell group participating in schedulingC(P j ) Expressed as:
step 3) setting an optimization objective function as follows:
wherein the content of the first and second substances,Crepresenting the economic cost of the energy storage plant to execute the scheduling instructions, the running cost of each unit groupC(P j ) Forming;
step 4), setting the constraint conditions into four conditions:
case1: dispatching power grid into charging powerP cha Maximum charging power limit of the energy storage plant as a wholeP all, chamax |≥|P cha And setting the constraint conditions as follows:
case2: dispatching power grid into charging powerP cha Maximum charging power limit of the energy storage plant as a wholeP all, chamax |<|P cha And setting the constraint conditions as follows:
case3: the power grid dispatching command is discharge powerP discha Maximum discharge power limit of the energy storage plant as a wholeP all, dischamax ≥P discha Setting the constraint conditions as follows:
case4: the power grid dispatching command is discharge powerP discha Maximum discharge power limit of the energy storage plant as a wholeP all, dischamax <P discha Setting the constraint conditions as follows:
step 5), inputting the optimization target and the constraint condition into an optimization solver to obtain each battery cell groupP j The optimal solution of (1).
In the method, in step 2), the DoD is calculated by the following formula:
wherein, soC j (t 0 ) The initial state of charge when the stored energy participates in the scheduling is shown,E rated is the rated capacity of the battery.
An electronic device, comprising:
one or more processors;
a storage device to store one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the aforementioned methods.
A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the aforementioned method.
The invention has the technical effects that:
(1) The invention can restrict the charging and discharging power of each battery unit according to the SOC of each battery unit, reduce the service life loss of the battery due to excessive charging and discharging and realize the safe operation of the energy storage power station.
(2) According to the invention, the economic power distribution can be carried out on each battery pack according to the proposed optimization algorithm of the battery operation cost aiming at the power grid dispatching instruction, so that the economic operation of the energy storage power station is realized.
The invention is further described below with reference to the accompanying drawings.
Drawings
FIG. 1 is a topology diagram of an energy storage power plant.
FIG. 2 is a flow chart of an energy storage plant power coordinated control strategy that takes into account battery operating costs.
Detailed Description
The embodiment provides a large-scale energy storage power station power cooperative control method considering economy and safety, wherein an energy storage power station includes n battery cell groups, and assuming that each battery cell group is composed of k battery cells, a topological diagram of the energy storage power station is shown in fig. 1, and specific implementation steps of the method are shown in fig. 2:
monitoring a power instruction of a power grid dispatching center, and judging whether an energy storage power station needs to participate in power grid frequency modulation.
And step two, if the energy storage power station needs to participate in the frequency modulation of the power grid, fault detection is carried out on each battery pack, and SOC information is collected.
Step three, calculating power constraint factors of each battery pack according to the battery state information, and determining a battery charging and discharging power limit value:
(1) first, the operation state of each battery unit is detectedη i （i=1……k) If the battery cell is in a faulty state,η i =0, if the battery cell is in a normal state,η i =1; detecting a state of charge (SOC) of each battery cell i 。
(2) Calculating an average state of charge SOC for each cell stack j （j=1……n）:
(3) Power constraint factorλ j Is about SOC j The value range of the piecewise function of (1) is [0,1 ]]Will SOC j The method is divided into 5 intervals and is designed according to the following method:
when the SoC is j ∈[0，SoC min ]The battery discharge depth exceeds a safety limit, and charging can be carried out only:
when the SoC is j ∈[SoC min ，SoC low ]The battery cell does not support full power discharge:
when the SoC is j ∈[SoC low ，SoC high ]The battery cell supports full power charging and discharging:
when SoC j ∈[SoC high ，SoC max ]The battery cell does not support full power charging:
when the SoC is j ∈[SoC max ，1]The battery is in an overcharged state and only allows discharging:
wherein, soC min 、SoC low 、SoC high And SoC max The parameters for dividing the battery state area can be 10%, 30%, 70% and 90%.δThe number of the parameters to be adjusted can be 5, the parameters are not limited to fixed values, and the parameters can be selected according to the performance of the battery and the actual engineering requirements in actual implementation.
(4) Cell group charging power limitP cha,j Discharge power limitP discha,j Is defined as follows:
wherein the content of the first and second substances,P 0 and the energy storage rated charge and discharge power is shown. Thereby obtaining the charging power of the battery unit groupP j The value range is as follows:
and step four, if the state information of each battery pack is consistent, such as the number of the fault batteries, the SOC state and other information, the output power of each battery pack does not need to be corrected, each battery pack bears the scheduling power in an evenly distributed mode, but the maximum charge-discharge power cannot exceed the allowable limit value.
And step five, if the state information of each battery pack is inconsistent, correcting the output power of each battery pack, and calculating and distributing the optimal output power of each battery pack based on an optimization algorithm of the battery running cost. The optimization algorithm based on the battery operation cost comprises the following steps:
(1) Calculating the maximum charging power limit value of the whole energy storage power stationP all, chamax And maximum discharge power limitP all, dischamax ：
(2) Each time of calculationOperating cost of each battery cell group participating in schedulingC(P j ):
The life of the energy storage cell is recordedSIn Ah, it can be expressed as:
wherein, the first and the second end of the pipe are connected with each other,L R the cycle life of the energy storage battery is counted by times;D R for the depth of discharge (DoD),C R the rated Ah capacity of the energy storage under the ideal state.
The DoD can be calculated from:
wherein, soC j (t 0 ) Representing the initial state of charge when the stored energy participates in the scheduling,E rated is the rated capacity of the battery.
The equivalent charging and discharging processes are carried out, so that the equivalent charging and discharging power of the energy storage battery in each operationd eff Comprises the following steps:
wherein the content of the first and second substances,D A is the actual DoD value;C A the actual Ah capacity under the current discharge current;u 0 and withu 1 Is a fitting coefficient;erepresents a natural constant; first, thejActual discharge capacity of each cell groupd A,j Comprises the following steps:
wherein, V jES, Is as followsjTerminal voltages of the respective cell groups;
represents a differential over time;
suppose thatjInitial investment cost of each cell group isC inv,i Then, thenC inv,i /SRepresenting the cost per ampere hour at standard cycle life. Note the bookk jDR, The price for energy storage to participate in dispatching is given by $/kWhjOperating cost of each battery cell group participating in schedulingC(P j ) Expressed as:
(3) Setting an optimization objective function as follows:
wherein the content of the first and second substances,Crepresenting the economic cost of the energy storage plant to execute the scheduling instructions, the cost of operation of each unit groupC(P j ) And (4) forming.
(4) The setting of the constraint conditions is divided into four cases:
case1: dispatching power grid to charge powerP cha Maximum charging power limit of the whole energy storage power stationP all, chamax |≥|P cha And setting the constraint conditions as follows:
case2: dispatching power grid into charging powerP cha Maximum charging power limit of the energy storage plant as a wholeP all, chamax |<|P cha And setting the constraint conditions as follows:
case3: the power grid dispatching command is discharge powerP discha Maximum discharge power limit of the energy storage plant as a wholeP all, dischamax ≥P discha Setting the constraint conditions as follows:
case4: the power grid dispatching command is discharge powerP discha Maximum discharge power limit of the energy storage plant as a wholeP all, dischamax <P discha Setting the constraint conditions as follows:
(5) Inputting the optimization target and constraint conditions into the conventional common optimization solver such as CPLEX to obtain each cell unit groupP j The optimal solution of (1).
And step six, each unit in the battery pack responds to the active output instruction, and finally the power cooperative control of the large-scale energy storage power station participating in power grid frequency modulation is realized.
Meanwhile, the embodiment of the invention also provides an electronic device and a computer readable medium.
Wherein electronic equipment includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the aforementioned method.
In specific use, a user can interact with a server which is also used as a terminal device through the electronic device which is used as the terminal device and based on a network, and functions of receiving or sending messages and the like are realized. The terminal device is generally a variety of electronic devices provided with a display device and used based on a human-computer interface, including but not limited to a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like. Various specific application software can be installed on the terminal device according to needs, including but not limited to web browser software, instant messaging software, social platform software, shopping software and the like.
The server is a network server for providing various services, such as a background server for providing corresponding computing services for received data such as battery pack state information transmitted from the terminal device. So as to obtain the corresponding optimal output power data of each battery pack and return the final result to the terminal equipment.
Similarly, the computer readable medium of the present invention has stored thereon a computer program which, when executed by a processor, implements a sales prediction method of an embodiment of the present invention.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (6)
1. A large-scale energy storage power station power cooperative control method considering economy and safety is characterized by comprising the following steps:
when an instruction for requiring the energy storage power station to participate in power grid frequency modulation is received, battery state information detection is carried out on each battery pack of the energy storage power station;
calculating power constraint factors of each battery pack according to the battery state information, and determining a battery charging and discharging power limit value;
step three, if the state information of each battery pack is consistent, the scheduling power is born in an average distribution mode of each battery pack, and the maximum charging and discharging power does not exceed an allowable limit value; if the state information of each battery pack is inconsistent, correcting the output power of each battery pack so as to distribute the optimal output power of each battery pack;
and step four, each battery pack executes output according to the distribution mode in the step three, so that the power cooperative control of the large-scale energy storage power station is realized.
2. The method of claim 1, wherein in the first step, the battery state information detection comprises detecting whether there is a fault in the battery unit of each battery pack and the state of charge (SOC) of each battery unit.
3. The method according to claim 1, wherein the second step comprises:
step 1, an energy storage power station comprises n battery packs, each battery pack is composed of k battery units, and firstly, the running state is marked according to fault information in battery state informationη i Whereini=1……k(ii) a If the battery cell is in a faulty state,η i =0, otherwiseη i =1；
Step 2, according to the state of charge SOC in the battery state information i To calculate the average state of charge SOC of each battery pack j Whereinj=1……n：
Step 3, according to the SOC j Obtaining power constraint factors for each battery packλ j ；
Step 4, based onλ j Obtaining a cell stack charging power limitP cha,j And discharge power limitP discha,j ：
Wherein the content of the first and second substances,P 0 representing the rated charge and discharge power of the stored energy;
the charging power of the battery cell groupP j The value range is as follows:
4. the method of claim 3, wherein in step 3, the power constraint factorλ j Is about SOC j The value range of the piecewise function of (1) is [0,1 ]]Will SOC j Dividing the space into 5 intervals, and designing according to the following method:
when SoC j ∈[0，SoC min ]Then, the discharge depth of the battery unit exceeds the safety limit, and only charging can be performed:
when the SoC is j ∈[SoC min ，SoC low ]Then the cell cannot be fully discharged:
when the SoC is j ∈[SoC low ，SoC high ]Then the battery unit can be charged and discharged at full power:
when SoC j ∈[SoC high ，SoC max ]Then the battery cell cannot be fully charged:
when the SoC is j ∈[SoC max ，1]Then the battery is in an overcharged state, only allowing to discharge:
wherein, soC min 、SoC low 、SoC high And SoC max Dividing parameters for the battery state area;δto adjust the parameters.
5. The method according to claim 3, wherein in step three, the step of modifying the output power of each battery pack so as to allocate the optimal output power of each battery pack comprises:
step 1), calculating the maximum charging power limit value of the whole energy storage power stationP all, chamax And maximum discharge power limitP all, dischamax ：
Step 2), calculating the operation cost of each battery unit group participating in schedulingC(P j )：
The life of the energy storage cell is recordedSExpressed as:
wherein the content of the first and second substances,L R the cycle life of the energy storage battery is counted by times;D R for the purpose of the depth of discharge DoD,C R the rated Ah capacity of energy storage under an ideal state;
the charge and discharge processes are equivalent, so that the equivalent charge and discharge power of the energy storage battery in each operationd eff Comprises the following steps:
wherein the content of the first and second substances,D A is the actual DoD value;C A the actual Ah capacity under the current discharge current;u 0 andu 1 is a fitting coefficient;erepresents a natural constant; first, thejActual discharge capacity of each cell groupd A,j Comprises the following steps:
wherein, V jES, Is as followsjTerminal voltages of the respective cell groups;dτrepresents a differential over time;
to a first orderjThe initial investment cost of each battery cell group isC inv,i Then, thenC inv,i /SRepresents the cost per ampere-hour at standard cycle life; note the bookk jDR, The price for energy storage to participate in dispatching is given by $/kWhjOperating cost of each battery cell group participating in schedulingC(P j ) Expressed as:
step 3), setting an optimization objective function as follows:
wherein the content of the first and second substances,Crepresenting the economic cost of the energy storage plant to execute the scheduling instructions, the cost of operation of each unit groupC(P j ) Forming;
step 4), setting the constraint conditions into four conditions:
case1: dispatching power grid into charging powerP cha Maximum charging power limit of the energy storage plant as a wholeP all, chamax |≥|P cha And setting the constraint conditions as follows:
case2: dispatching power grid into charging powerP cha Maximum charging power limit of the energy storage plant as a wholeP all, chamax |<|P cha And setting the constraint conditions as follows:
case3: the power grid dispatching command is discharge powerP discha Maximum discharge power limit of the energy storage plant as a wholeP all, dischamax ≥P discha Setting the constraint conditions as follows:
case4: the power grid dispatching command is discharge powerP discha Maximum discharge power limit of the energy storage plant as a wholeP all, dischamax <P discha The constraint conditions are set as follows:
step 5), inputting the optimization target and the constraint condition into an optimization solver to obtain each battery cell groupP j The optimal solution of (a).
6. The method according to claim 5, wherein in step 2), the DoD is calculated by the following formula:
wherein, soC j (t 0 ) Representing the initial state of charge when the stored energy participates in the scheduling,E rated is the rated capacity of the battery.
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