CN109256790A - A kind of energy-storage system configuration method, device and storage medium - Google Patents
A kind of energy-storage system configuration method, device and storage medium 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
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Abstract
The present invention provides a kind of energy-storage system configuration method, comprising: obtains the system-contingent event data of each network-bus of current distributed energy resource system；System-contingent event data based on each network-bus generates the contingency sensivity index of each network-bus；Based on the contingency sensivity index, the quantity, installation site and specification of energy-storage system to be configured are determined；According to quantity, installation site and the specification of the energy-storage system to be configured, the energy-storage system configuration of presently described distributed energy resource system is executed.The present invention is based on the optimal distribution strategies of contingency sensivity index, determine optimum position and its optimum specifications of installation ESSs, to improve voltage stability, and minimize system power dissipation in a cost efficient manner.
Description
Technical field
The invention belongs to energy accumulating technique field more particularly to a kind of energy-storage system configuration methods, device and storage medium.
Background technique
Smart grid is with the modern infrastructure of advanced information and communication technology (ICT) (ICTs) control electric system.In mistake
In 20 years gone, electricity needs increases by 2.5% every year, and power grid may will soon reach capacity.The universal journey of renewable energy
Degree is continuously improved, and to face the limitation of conventional electric power system, realizes sustainable electric system.However, between renewable energy
Having a rest property proposes challenge to the energy management of smart grid.In recent years, in energy management, energy-storage system (ESSs) plays tune
Renewable energy power swing is saved, guarantees the stable effect of system mode.In recent years, people increasingly focus on electric system
Middle ESSs's is integrated.However, the determination of the optimal number of electric system, position and specification have to the operation of electric system it is important
Influence.Therefore, the integrated configuration for being substantially based on them of ESSs.Addressing and scale for the ESSs of different target are asked
Topic, proposes a variety of solution routes, as optimization of investment person economic benefit, improve the voltage stability, renewable of electric system
Energy power generation, reduction transmission blocking, raising system reliability etc..
However, these researchs do not account for the risk of potential incident mostly.
Summary of the invention
The present invention provides a kind of energy-storage system configuration method, device and storage mediums, it may be considered that contingency event wind
In the case where danger, the configuration of energy-storage system is realized.
Technical solution provided by the invention is as follows:
According to an exemplary embodiment, first aspect present invention provides a kind of energy-storage system configuration method, comprising:
Obtain the system-contingent event data of each network-bus of current distributed energy resource system；
The contingency sensitivity that system-contingent event data based on each network-bus generates each network-bus refers to
Number；
Based on the contingency sensivity index, quantity, the installation site of energy-storage system to be configured, Yi Jigui are determined
Lattice；
According to quantity, installation site and the specification of the energy-storage system to be configured, presently described distributed energy is executed
The energy-storage system of source system configures.
In some examples, the system-contingent event data based on each network-bus generates each network-bus
Contingency sensivity index, comprising:
The system-contingent event data of each network-bus based on each network-bus generates contingency sensitivity square
Battle array, the row of the contingency sensitivity matrix indicate system-contingent event, and column indicate network-bus；
Quantity based on the contingency sensitivity matrix and contingency event, generates the accidental personality of each network-bus
Sensitivity index.
In some examples, the system-contingent event data, comprising:
Influence number of the system-contingent event to voltage deviation, line current variation and generated output power variation
According to.
It is described to be based on the contingency sensivity index in some examples, determine quantity, the peace of energy-storage system to be configured
Holding position and specification, comprising:
It determines the radix for being higher than the network-bus of contingency sensivity index threshold value of setting, is energy-storage system to be configured
Quantity；
The higher network-bus of contingency sensivity index in each network-bus is preferentially selected, as accumulation of energy system to be configured
The installation site of system.
It is described to be based on the contingency sensivity index in some examples, determine quantity, the peace of energy-storage system to be configured
Holding position and specification, comprising:
According to heuristic particle swarm optimization algorithm HPSO time-varying accelerator coefficient TVAC, referred to based on the contingency sensitivity
Number, determines the specification of the energy-storage system to be configured.
The second aspect of the present invention provides a kind of energy-storage system configuration device, comprising:
Obtain module, the system-contingent event data of each network-bus for obtaining current distributed energy resource system；
Index generation module generates each network-bus for the system-contingent event data based on each network-bus
Contingency sensivity index；
Configuration parameter determining module determines energy-storage system to be configured for being based on the contingency sensivity index
Quantity, installation site and specification；
Configuration module, for quantity, installation site and the specification according to the energy-storage system to be configured, execution is worked as
The energy-storage system of the preceding distributed energy resource system configures.
In some examples, the index generation module, comprising:
Matrix generates submodule, the system-contingent event number for each network-bus based on each network-bus
According to generation contingency sensitivity matrix, the row of the contingency sensitivity matrix indicates system-contingent event, and column indicate network
Bus；
Index generates submodule, for the quantity based on the contingency sensitivity matrix and contingency event, generates each
The contingency sensivity index of network-bus.
In some examples, the system-contingent event data, comprising:
Influence number of the system-contingent event to voltage deviation, line current variation and generated output power variation
According to.
In some examples, the configuration parameter determining module, comprising:
Quantity determines submodule, for determining the base for being higher than the network-bus of contingency sensivity index threshold value of setting
Number is the quantity of energy-storage system to be configured；
Position determination submodule, for preferentially selecting the higher network of contingency sensivity index in each network-bus total
Line, the installation site as energy-storage system to be configured.
In some examples, the configuration parameter determining module, further includes:
Specification determines submodule, for according to heuristic particle swarm optimization algorithm (Self-Organizing
Hierarchical Particle Swarm Optimization, HPSO) time-varying accelerator coefficient (Time-varying
Acceleration Coefficient, TVAC), it is based on the contingency sensivity index, determines the accumulation of energy system to be configured
The specification of system.
The third aspect of the embodiment of the present invention provides a kind of storage medium, is stored thereon with computer program, when the meter
Calculation machine program realizes energy-storage system configuration method provided in an embodiment of the present invention when being executed by processor.
Energy-storage system configuration method provided in an embodiment of the present invention, provide it is a kind of based on contingency sensivity index most
Excellent allocation strategy to improve voltage stability, and has for determining optimum position and its optimum specifications of installation ESSs with cost
The mode of effect minimizes system power dissipation.
Compared with traditional method: the present invention technically be in calculating it is effective, allow to mention by heuristic strategies
The reliability of smart grid under high emergency rating.Heuristic is based on a contingency sensivity index (contingency
Sensitivity index, CSI), its influence of assessment system accident to network-bus (i.e. node) makes most vulnerable to attacking
The bus hit becomes the optimum position of installation ESSs.This heuristic strategies allow to evade the combinatorial property of location problem, thus
There is advantage in complexity and in terms of reducing computation burden.In addition, heuristic strategies allow may be implemented to install optimal number
ESS。
The present invention reduces voltage deviation and system power dissipation in the low mode of cost-effectiveness to the maximum extent.By improving electricity
Stability and system power dissipation are pressed, the cost of investment of ESSs is reduced, while ensure that it is best integrated.
Detailed description of the invention
Fig. 1 is a kind of flow chart of energy-storage system configuration method provided by one embodiment of the present invention；
Fig. 2 is the flow chart that energy-storage system specification provided by one embodiment of the present invention determines method；
Fig. 3 is a kind of structural schematic diagram of energy-storage system configuration device provided by one embodiment of the present invention.
Specific embodiment
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and examples, how to apply to the present invention whereby
Technological means solves technical problem, and the realization process for reaching technical effect can fully understand and implement.It needs to illustrate
As long as not constituting conflict, each feature in each embodiment and each embodiment in the present invention can be combined with each other,
It is within the scope of the present invention to be formed by technical solution.
Meanwhile in the following description, for illustrative purposes and numerous specific details are set forth, to provide to of the invention real
Apply the thorough understanding of example.It will be apparent, however, to one skilled in the art, that the present invention can not have to tool here
Body details or described ad hoc fashion are implemented.
In addition, step shown in the flowchart of the accompanying drawings can be in the department of computer science of such as a group of computer-executable instructions
It is executed in system, although also, logical order is shown in flow charts, and it in some cases, can be to be different from herein
Sequence execute shown or described step.
ESSs can be run in the case where lacking the energy as generator, can also be made in the case where energy surplus
For electric load operation.In order to there is one efficiently to integrate in power grid, ESSs should be placed on most suitable position and be set as
Most suitable specification.However it is this integrated by the service condition of electric system and its extreme influence of potential emergency event.
The present invention provides a kind of optimal distribution strategies based on contingency sensivity index, for determining the optimum bit of installation ESSs
It sets, optimum specifications and its optimal number, to improve voltage stability, and minimizes system power dissipation in a cost efficient manner.
In embodiments of the present invention, the present invention provides a kind of model checking method, device and storage mediums, can be effective
Reduction reconfigurable system model inspection in attribute verifying complexity.
Technical solution provided by the invention is as follows:
As shown in Figure 1, the present invention provides a kind of energy-storage system configuration method, comprising:
S101, obtain current distributed energy resource system each network-bus system-contingent event data；
The contingency that S102, the system-contingent event data based on each network-bus generate each network-bus is sensitive
Spend index；
S103, it is based on the contingency sensivity index, determines quantity, the installation site of energy-storage system to be configured, with
And specification；
S104, according to quantity, installation site and the specification of the energy-storage system to be configured, execute presently described point
The energy-storage system of cloth energy resource system configures.
In some examples, the system-contingent event data, comprising:
Influence number of the system-contingent event to voltage deviation, line current variation and generated output power variation
According to.
Wherein, influence data of the system-contingent event to voltage deviation can be calculated by following formula.
Wherein, IVDjIndicate influence of the system-contingent event to voltage deviation, this influence is by assessing contingency
What the variation that event occurs with base case Down Highway voltage was calculated.If variation is more than threshold value tb, then existing influences, i.e.,
It equal to 1, is otherwise not present, that is, is equal to 0.
The influence data that system-contingent event changes line current can be calculated by following formula.
Wherein,Indicate the influence due to i and j line contingency event to line current.This influence is to pass through assessment
Under the generation of contingency event and basic condition, what the variation of line current was calculated.If variation is more than threshold value tl, then deposit
It is influencing, that is, is being equal to 1, is otherwise not present, that is, be equal to 0.
The influence data that system-contingent event changes generated output power can be calculated by following formula.
Wherein, IPGj gIndicate the influence that contingency event changes generated output power, this influence is to pass through assessment
Contingency event occurs under basic condition, and generated output power variation is calculated.If variation is more than threshold value tg, then
There are influences, that is, are equal to 1, are otherwise not present, that is, are equal to 0.
In some examples, the system-contingent event data based on each network-bus generates each network-bus
Contingency sensivity index, comprising:
The system-contingent event data of each network-bus based on each network-bus generates contingency sensitivity square
Battle array, the row of the contingency sensitivity matrix indicate system-contingent event, and column indicate network-bus；
Quantity based on the contingency sensitivity matrix and contingency event, generates the accidental personality of each network-bus
Sensitivity index.
In practical application, after the influence for calculating all contingency events, a contingency sensitivity square can be generated
Battle array (contingency sensitivity matrix, CSM).CSM is defined as follows.
Wherein, row indicates system-contingent event, and column indicate network-bus.
Element in CSM matrix can calculate by the following method:
If the contingency event indicated with c influences whether the voltage deviation in bus, the value of CSM [c, j] will be equal to
1；
If influencing whether line current by the contingency event that c is indicated, the line current between i and j, CSM [c, i]
1 will be equal to the value of CSM [c, j]；
If influencing whether the power generation of the generator g positioned at CSM [c, j] by the contingency event that c is indicated, then CSM [c,
J] value will be equal to 1.
On the basis of CSM matrix, the contingency sensivity index of each network-bus is calculated, can be counted by the following method
It calculates:
Wherein, ncFor the quantity of system-contingent event
It is described to be based on the contingency sensivity index in some examples, determine quantity, the peace of energy-storage system to be configured
Holding position and specification, comprising:
It determines the radix for being higher than the network-bus of contingency sensivity index threshold value of setting, is energy-storage system to be configured
Quantity；
The higher network-bus of contingency sensivity index in each network-bus is preferentially selected, as accumulation of energy system to be configured
The installation site of system.
It is described to be based on the contingency sensivity index in some examples, determine quantity, the peace of energy-storage system to be configured
Holding position and specification, comprising:
According to heuristic particle swarm optimization algorithm HPSO time-varying accelerator coefficient TVAC, referred to based on the contingency sensitivity
Number, determines the specification of the energy-storage system to be configured.
In practical application, after calculating CSI, network-bus can be arranged in descending order, i.e., preferentially be examined when installing ESSs
Consider the higher bus of CSI value.The quantity of ESSs is by a given susceptibility threshold tsCarry out selection, therefore, being more than should
The radix of the bus of threshold value is the quantity n of energy-storage system to be mounteds, as follows.
It is that the sum of busbar voltage deviation, system losses and cost of investment are made by objective function for the specification of ESSs
In the case where minimum, an optimization problem is solved.This can be solved the problems, such as by HPSO TVAC.Its objective function can
Think
Wherein vector S is the vector of ESS size, and T is time planning boundary, CLIt is the cost of power loss, PL tBe when
Between t power loss, CvIt is the cost of voltage deviation, VD tIt is the voltage deviation in time t.
CIIt (ns) is the cost of investment that can be assessed in the following manner
Wherein nsFor the quantity of energy-storage system, cfFor the fixed cost of single ESS installation, csIt is S for i-th of specificationi's
The unit price of ESS.
Based on above-mentioned objective function, as shown in Fig. 2, the specification of ESS can calculate by the following method in practical application:
Initialization, the interval of input specification can be set according to the 15-25% of renewable generating capacity.Then, with
ESS specification initializes the population of particle group optimizing PSO.Then, by above-mentioned objective function to the grade of fit of each particle into
Row assessment, to find global optimum's particle.Stop criterion, i.e. maximum number of iterations are checked, if not reaching greatest iteration time
Number, then carry out renewal speed using time-varying acceleration factor, as follows without the speed of front to be added:
vk+1=C1*r1*(pbest-xk)+c2*r2*(gbest-xk)
Wherein vk+1For renewal speed, c1, c2For acceleration factor, r1, r2For stochastic variable, xkFor particle position, pbestWith
gbestItself and global optimum value of respectively each particle.
Then the position of each particle is updated in the following way:
xk+1=xk+vk+1
Wherein xk+1It is the position updated, xkIt is pervious position, vk+1It is the speed updated.
When the maximum number of iterations is reached, the optimum specifications of ESS can be set by Sopt=argminf (S).
Energy-storage system configuration method provided in an embodiment of the present invention, provide it is a kind of based on contingency sensivity index most
Excellent allocation strategy to improve voltage stability, and has for determining optimum position and its optimum specifications of installation ESSs with cost
The mode of effect minimizes system power dissipation.
Compared with traditional method: the present invention technically be in calculating it is effective, allow to mention by heuristic strategies
The reliability of smart grid under high emergency rating.Heuristic is based on a contingency sensivity index (contingency
Sensitivity index, CSI), its influence of assessment system accident to network-bus (i.e. node) makes most vulnerable to attacking
The bus hit becomes the optimum position of installation ESSs.This heuristic strategies allow to evade the combinatorial property of location problem, thus
There is advantage in complexity and in terms of reducing computation burden.
Energy-storage system configuration method provided in an embodiment of the present invention, compared with the existing technology in weak bus configuration method,
Power loss wants low, about reduces 20%, compared with the prior art in loss susceptibility configuration method, power loss will reduce
5%.Voltage is no more than acceptable range, and voltage deviation is more smoother than other two methods, with weak bus configuration method phase
Than reducing 22%, 10% is reduced compared with the configuration method of loss sensitivity.The execution time of location problem of the invention
It is very short.Addressing scheme requires load flow to calculate, and can complete in seconds, even for large-scale power system and
So.Overall computation burden of the invention is to calculate the specification of ESSs, and the present invention handles dimensional problem using HPSO TVAC.
Compared with the conventional method, which achieves apparent effect in specification calculating.The calculated result that table 1 is shown is as follows:
Table 1
As it can be seen from table 1 different methods provides identical optimal value, but it is different to execute the time.HPSO TVAC is to hold
Optimal selection in terms of row time and the number of iterations to be polymerize.
As shown in figure 3, the present invention also provides a kind of energy-storage system configuration devices, comprising:
Obtain module 301, the system-contingent event number of each network-bus for obtaining current distributed energy resource system
According to；
Index generation module 302 generates each network for the system-contingent event data based on each network-bus
The contingency sensivity index of bus；
Configuration parameter determining module 303 determines energy-storage system to be configured for being based on the contingency sensivity index
Quantity, installation site and specification；
Configuration module 304 is executed for quantity, installation site and the specification according to the energy-storage system to be configured
The energy-storage system of presently described distributed energy resource system configures.
In some examples, the index generation module 302, comprising:
Matrix generates submodule 3021, the system-contingent event for each network-bus based on each network-bus
Data generate contingency sensitivity matrix, and the row of the contingency sensitivity matrix indicates system-contingent event, and column indicate net
Network bus；
Index generates submodule 3022, raw for the quantity based on the contingency sensitivity matrix and contingency event
At the contingency sensivity index of each network-bus.
In some examples, the system-contingent event data, comprising:
Influence number of the system-contingent event to voltage deviation, line current variation and generated output power variation
According to.
In some examples, the configuration parameter determining module 303, comprising:
Quantity determines submodule 3031, for determining the network-bus higher than the contingency sensivity index threshold value set
Radix is the quantity of energy-storage system to be configured；
Position determination submodule 3032, for preferentially selecting the higher network of contingency sensivity index in each network-bus
Bus, the installation site as energy-storage system to be configured.
In some examples, the configuration parameter determining module 303, further includes:
Specification determines submodule 3033, for according to heuristic particle swarm optimization algorithm (Self-Organizing
Hierarchical Particle Swarm Optimization, HPSO) time-varying accelerator coefficient (Time-varying
Acceleration Coefficient, TVAC), it is based on the contingency sensivity index, determines the accumulation of energy system to be configured
The specification of system.
The third aspect of the embodiment of the present invention provides a kind of storage medium, is stored thereon with computer program, when the meter
Calculation machine program realizes energy-storage system configuration method provided in an embodiment of the present invention when being executed by processor.
Energy-storage system configuration method provided in an embodiment of the present invention, provide it is a kind of based on contingency sensivity index most
Excellent allocation strategy to improve voltage stability, and has for determining optimum position and its optimum specifications of installation ESSs with cost
The mode of effect minimizes system power dissipation.
Compared with traditional method: the present invention technically be in calculating it is effective, allow to mention by heuristic strategies
The reliability of smart grid under high emergency rating.Heuristic is based on a contingency sensivity index (contingency
Sensitivity index, CSI), its influence of assessment system accident to network-bus (i.e. node) makes most vulnerable to attacking
The bus hit becomes the optimum position of installation ESSs.This heuristic strategies allow to evade the combinatorial property of location problem, thus
There is advantage in complexity and in terms of reducing computation burden.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The shape for the computer program product implemented in usable storage medium (including but not limited to magnetic disk storage and optical memory etc.)
Formula.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of energy-storage system configuration method characterized by comprising
Obtain the system-contingent event data of each network-bus of current distributed energy resource system；
System-contingent event data based on each network-bus generates the contingency sensivity index of each network-bus；
Based on the contingency sensivity index, the quantity, installation site and specification of energy-storage system to be configured are determined；
According to quantity, installation site and the specification of the energy-storage system to be configured, presently described distributed energy system is executed
The energy-storage system of system configures.
2. the method for claim 1, wherein the system-contingent event data based on each network-bus is raw
At the contingency sensivity index of each network-bus, comprising:
The system-contingent event data of each network-bus based on each network-bus generates contingency sensitivity matrix,
The row of the contingency sensitivity matrix indicates system-contingent event, and column indicate network-bus；
Quantity based on the contingency sensitivity matrix and contingency event, generates the contingency sensitivity of each network-bus
Index.
3. the method for claim 1, wherein system-contingent event data, comprising:
Influence data of the system-contingent event to voltage deviation, line current variation and generated output power variation.
4. the method for claim 1, wherein described be based on the contingency sensivity index, storage to be configured is determined
Quantity, installation site and the specification of energy system, comprising:
It determines the radix for being higher than the network-bus of contingency sensivity index threshold value of setting, is the number of energy-storage system to be configured
Amount；
The higher network-bus of contingency sensivity index in each network-bus is preferentially selected, as energy-storage system to be configured
Installation site.
5. the method for claim 1, wherein described be based on the contingency sensivity index, storage to be configured is determined
Quantity, installation site and the specification of energy system, comprising:
According to heuristic particle swarm optimization algorithm HPSO time-varying accelerator coefficient TVAC, it is based on the contingency sensivity index, really
The specification of the fixed energy-storage system to be configured.
6. a kind of energy-storage system configuration device characterized by comprising
Obtain module, the system-contingent event data of each network-bus for obtaining current distributed energy resource system；
Index generation module generates the idol of each network-bus for the system-contingent event data based on each network-bus
Right property sensivity index；
Configuration parameter determining module, for be based on the contingency sensivity index, determine energy-storage system to be configured quantity,
Installation site and specification；
Configuration module executes current institute for quantity, installation site and the specification according to the energy-storage system to be configured
State the energy-storage system configuration of distributed energy resource system.
7. device as claimed in claim 6, wherein the index generation module, comprising:
Matrix generates submodule, raw for the system-contingent event data of each network-bus based on each network-bus
At contingency sensitivity matrix, the row of the contingency sensitivity matrix indicates system-contingent event, and column indicate network-bus；
Index generates submodule, for the quantity based on the contingency sensitivity matrix and contingency event, generates each network
The contingency sensivity index of bus.
8. device as claimed in claim 6, wherein the system-contingent event data, comprising:
Influence data of the system-contingent event to voltage deviation, line current variation and generated output power variation.
9. device as claimed in claim 6, wherein the configuration parameter determining module, comprising:
Quantity determines submodule, for determining the radix for being higher than the network-bus of contingency sensivity index threshold value of setting, is
The quantity of energy-storage system to be configured；
Position determination submodule is made for preferentially selecting the higher network-bus of contingency sensivity index in each network-bus
For the installation site of energy-storage system to be configured.
10. a kind of storage medium, is stored thereon with computer program, which is characterized in that when the computer program is by processor
The energy-storage system configuration method as described in claim 1 to 5 any one is realized when execution.
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| CN201811230411.4A CN109256790B (en) | 2018-10-22 | 2018-10-22 | Energy storage system configuration method and device and storage medium |
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| CN201811230411.4A CN109256790B (en) | 2018-10-22 | 2018-10-22 | Energy storage system configuration method and device and storage medium |
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| CN112330487B (en) * | 2020-11-03 | 2022-10-04 | 河北工业大学 | Photovoltaic power generation short-term power prediction method |
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