Regulation and control method and system for improving peak load regulation capability of electrochemical energy storage power station

Abstract

The invention relates to the technical field of novel energy storage scheduling control, in particular to a regulation and control method and system for improving the peak load regulation capacity of an electrochemical energy storage power station. Establishing a flow battery basic model and an energy storage power station grid-connected model; determining an objective function and constraint conditions of flow battery energy storage grid connection; dividing operation modes based on the operation data; implementing a configuration strategy on the basis of new energy consumption of the guarantee evidence of the liquid flow energy storage power station; establishing a regulation and control strategy for rapidly switching different operation modes of the electrochemical energy storage power station; effective simulation verification analysis is carried out on a regulation and control strategy giving consideration to improvement of the peak load regulation capability and the new energy consumption capability of the electrochemical energy storage power station, and improvement of the regulation and control strategy on the degree of participation in peak regulation of energy storage and the effectiveness of promotion of new energy consumption are verified; according to the method, on the basis that new energy consumption can be guaranteed, the capacity of the electrochemical energy storage power station participating in peak load adjustment is improved, and reference is provided for construction and scheduling of the electrochemical energy storage power station in the future.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy storage dispatching control, and particularly to a regulation method and system for improving the peak load regulation ability of an electrochemical energy storage power station. Background Art

[0002] With the in-depth construction of the new power system, the penetration rate of new energy power generation in the power grid has gradually increased. However, due to the extremely high uncertainty and volatility of new energy power generation, the phenomena of wind curtailment and light curtailment often occur due to the imbalance between power grid supply and demand. The construction of new energy storage can effectively alleviate this phenomenon. The energy storage system charges and stores electric energy when the power generation of wind and solar energy is high or during the low electricity consumption period, and discharges and transmits electric energy outward when the power generation of wind and solar energy is low or during the high electricity consumption period, which is an effective method to alleviate the waste of new energy resources. Among them, the application of electrochemical energy storage power stations is relatively extensive. Electrochemical energy storage includes flow battery energy storage, lithium battery energy storage, etc. Electrochemical energy storage has the advantage of flexible capacity selection during configuration, is suitable for configurations of large, medium, and small scales, and is applicable to the power source side, the power grid side, and the load side. At the same time, electrochemical energy storage also has the advantages of being safer, having a faster response speed, and a higher charge-discharge cycle efficiency compared to other new energy storage systems, and thus has been deeply studied and widely used.

[0003] However, while solving the problem of new energy accommodation, many problems have emerged. Among them, the problem that energy storage resources cannot be used to participate in the peak load regulation of the power grid is the most prominent. This is because the charge and discharge of the electrochemical energy storage power station also have a certain degree of randomness due to the fluctuations of new energy, resulting in spatio-temporal deviations when there are peak loads in the power grid. In addition, there is currently no perfect energy storage participation in the market peaking policy, resulting in some energy storage power station decision-makers being in a wait-and-see state and failing to achieve efficient cooperation with the power grid.

[0004] Therefore, the reasonable and efficient regulation strategy proposed by the present invention is the key to improving the peak load regulation ability of the electrochemical energy storage power station and achieving full accommodation of new energy. Summary of the Invention

[0005] In view of the problems existing in the above-mentioned prior art, the present invention is proposed.

[0006] Therefore, the present invention provides a regulation method for improving the peak load regulation ability of an electrochemical energy storage power station, particularly involving the problem of how the electrochemical energy storage can quickly be put into operation and efficiently charge and discharge when there is a peak load in the power grid, while further improving the new energy accommodation level while achieving full peak load regulation.

[0007] To solve the above technical problems, the present invention provides the following technical solution. A regulation method for improving the peak load regulation ability of an electrochemical energy storage power station includes: establishing a basic model of a flow battery and a grid-connected model of a flow battery energy storage;

[0008] Determine the objective function and constraints for the grid connection of the flow battery energy storage;

[0009] Divide the operation modes based on the operation data;

[0010] Implement the configuration strategy of the flow energy storage power station based on ensuring the consumption of new energy;

[0011] Establish a regulation strategy for the electrochemical energy storage power station to quickly switch between different operation modes;

[0012] Conduct effective simulation verification and analysis on the regulation strategy that takes into account improving the peak load regulation ability and new energy consumption ability of the electrochemical energy storage power station.

[0013] As a preferred solution of the regulation method for improving the peak load regulation ability of the electrochemical energy storage power station described in the present invention, wherein: the basic model of the flow battery clarifies the charge and discharge mechanism of the flow battery, establishes the basic charge and discharge model of the flow power station, and introduces the state of charge as the observed value;

[0014] The grid connection model of the flow battery energy storage considers the capacity of the energy storage power station and clarifies the specific grid connection model of the energy storage power station for grid connection;

[0015] The flow battery includes positive and negative electrolytic cells, electrodes, ion exchange membranes, bipolar plates, circulation pumps, and pipeline circuits;

[0016] In constructing the grid connection model of the energy storage, the energy storage battery system is connected to the AC grid through an energy storage converter to realize the conversion and transmission of energy between the flow battery and the AC grid.

[0017] As a preferred solution of the regulation method for improving the peak load regulation ability of the electrochemical energy storage power station described in the present invention, wherein: the objective function of the grid connection of the flow battery energy storage is expressed as:

[0018] F(X) = W1×f1 + W2×f2 + f(C, P, Q, E)

[0019] In the formula, F(X) represents the objective function value; X represents the decision variables of the energy storage planning scheme, including the layout, capacity, and charge and discharge strategy of the energy storage device; f1, f2, f3 respectively represent evaluation indicators; W1, W2, W3 are the corresponding weight coefficients; C represents the investment cost of the energy storage device; P represents the operation and maintenance cost of the energy storage device; Q represents the capacity and performance parameters of the energy storage device; E represents the degree of satisfaction of the power generation characteristics and load demand of the flow energy storage power station;

[0020]

[0021] In the formula, E max represents the maximum energy storage capacity of the energy storage device; E minrepresents the minimum energy storage capacity of the energy storage device; u represents the load demand; C1 represents the energy storage capacity of the power grid; C2 represents the energy storage capacity corresponding to the load demand, f1 is the regulation ability index under different loads, and f2 is the economic index;

[0022] Add the default frequency safety constraint condition to the objective function, and the mathematical expression is:

[0023] max|z - z1| ≤ s

[0024] In the formula, z represents the frequency value; z1 represents the rated frequency; s represents the maximum allowable frequency deviation; under the condition of ensuring that there is an optimal energy storage in the power grid for any fault, design the constraint condition for the minimum cut-off amount, and the expression is:

[0025]

[0026] In the formula, ΔF represents the constraint condition of the minimum cut-off amount; k represents the generator power constraint; g represents the optimal energy storage condition.

[0027] As a preferred solution of the regulation method for improving the peak load regulation ability of the electrochemical energy storage power station described in the present invention, wherein: the constraint conditions need to satisfy the mathematical expressions of the boundary constraints of the state of charge, system output, battery output, and non-positive curtailment, which are:

[0028]

[0029] In the formula, SOC , are the upper and lower boundary constraint values of the energy storage capacity respectively; P total (i) represents the total output of the energy system, and P curt (i) represents the maximum transmission limit of the transmission section; P bat , are the upper and lower boundary constraint values of the energy storage output respectively; P d (i) represents the comprehensive curtailment power.

[0030] As a preferred solution of the regulation method for improving the peak load regulation ability of the electrochemical energy storage power station described in the present invention, wherein: the operation modes include the power transfer operation mode and the fluctuation suppression operation mode;

[0031] When the energy storage is in the power transfer working mode, it is expressed as:

[0032] P bat (i) = P curt (i) + P PV (i)

[0033] In the formula: P curt(i) is the power limit for the i-th minute, that is, the power limit instruction issued by the maximum transmission channel or the regional power grid dispatching center;

[0034] When the energy storage is in the working mode of suppressing fluctuations, the power supply and the load are in the dynamic fluctuation stage. At this time, the charge and discharge power instructions of the energy storage include suppressing the power supply fluctuation; tracking the reference load state to improve the ability of energy transfer and fluctuation suppression.

[0035] As a preferred solution of the control method for improving the peak load regulation ability of the electrochemical energy storage power station described in the present invention, wherein: the configuration strategy for ensuring the consumption of new energy by the flow battery energy storage power station includes performing charge and discharge simulation according to the equivalent circuit of the flow battery, and studying the dynamic efficiency of the flow battery and the absorption power fitting model;

[0036] Perform stochastic modeling and analysis on the active distribution network containing the flow battery energy storage system, and construct prediction models for photovoltaic, wind power distributed power sources and load output;

[0037] Considering the cost, direct economic benefits, environmental benefits, wind and light abandonment losses and loss reduction costs of the flow battery energy storage system, construct a multi-objective optimization configuration model of the flow battery energy storage system, and implement the operation strategy of the flow battery energy storage system with maximum consumption of wind and light.

[0038] As a preferred solution of the control method for improving the peak load regulation ability of the electrochemical energy storage power station described in the present invention, wherein: the control strategy for establishing the rapid switching of different operation modes of the electrochemical energy storage power station is expressed as:

[0039] P bat (i) = P bat，1 (i) + P bat，2 (i)

[0040] P bat，1 (i) = -P fluc (i)

[0041]

[0042] In the formula: P bat，1 (i), P bat，2 (i) are respectively two components of the charge and discharge power instructions of the energy storage for the i-th minute; P fluc (i) is the fluctuation signal for the i-th minute obtained after wavelet decomposition; S ref (i) is the reference remaining capacity of the energy storage at the beginning of the i-th minute; determine the load state compensation coefficient α, and the capacity configuration study is used to characterize the speed of the energy storage tracking the reference remaining capacity; perform time-series production simulation using the control strategy to observe the participation degree of the energy storage in peak load regulation.

[0043] As a preferred solution of the control system for improving the peak load regulation ability of the electrochemical energy storage power station according to the present invention, it includes a model establishment module, a target optimization module, a mode division module, a configuration implementation module, a control switching module, and a simulation verification module.

[0044] A computer device includes a memory and a processor. The memory stores a computer program. It is characterized in that when the processor executes the computer program, it implements the steps of any one of the control methods for improving the peak load regulation ability of the electrochemical energy storage power station.

[0045] A computer-readable storage medium stores a computer program. It is characterized in that when the computer program is executed by a processor, it implements the steps of any one of the control methods for improving the peak load regulation ability of the electrochemical energy storage power station.

[0046] The beneficial effects of the present invention are as follows: First, it is a control strategy that takes into account both improving the peak load regulation ability of the electrochemical energy storage power station and the new energy consumption ability. On the basis of implementing the basic configuration strategy to ensure new energy consumption, it distinguishes the working states of the energy storage power station, realizes the rapid transfer of electric energy in the electric energy transfer mode, and realizes the function of regulating the peak load of the power grid; and when there is no peak shaving demand, it enters the standby state of suppressing fluctuations. This control strategy largely realizes the efficient utilization of the electrochemical energy storage power station.

[0047] Second, this method is applicable to the market-oriented construction of energy storage. With the continuous construction of new energy storage power stations, this control strategy has a relatively wide application prospect due to its advantage of making full use of the energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0049] Figure 1 It is the basic schematic diagram of the flow battery of the control method for improving the peak load regulation ability of the electrochemical energy storage power station provided by an embodiment of the present invention.

[0050] Figure 2 It is the schematic diagram of the grid-connected model of the flow energy storage power station of the control method for improving the peak load regulation ability of the electrochemical energy storage power station provided by an embodiment of the present invention.

[0051] Figure 3The configuration strategy process of the energy storage power station for the regulation method of improving the peak load regulation ability of the electrochemical energy storage power station based on ensuring new energy consumption.

[0052] Figure 4 The regulation strategy flow chart for distinguishing the working state of the energy storage power station in the regulation method of improving the peak load regulation ability of the electrochemical energy storage power station provided by an embodiment of the present invention.

[0053] Figure 5 The corresponding relationship diagram of the load curve and the energy storage power curve in the regulation method of improving the peak load regulation ability of the electrochemical energy storage power station provided by an embodiment of the present invention.

[0054] Figure 6 The sequential production simulation curve of the regulation strategy that takes into account both improving the peak load regulation ability and the new energy consumption ability of the electrochemical energy storage power station in the regulation method of improving the peak load regulation ability of the electrochemical energy storage power station provided by an embodiment of the present invention. Detailed implementation manners

[0055] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the detailed implementation manners of the present invention in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0056] Embodiment 1

[0057] Refer to Figure 1 , which is the first embodiment of the present invention. This embodiment provides a regulation method for improving the peak load regulation ability of the electrochemical energy storage power station. The purpose of the present invention is to solve the problem that the existing electrochemical energy storage power station cannot effectively regulate the peak load and cause resource waste when the capacity is sufficient. In view of the above problems, a regulation strategy that takes into account both improving the peak load regulation ability and the new energy consumption ability of the electrochemical energy storage power station is proposed. The multi-level and multi-factor analysis method adopted by the present invention mainly aims at the charge and discharge mechanism of the electrochemical energy storage power station and its combined operation characteristics with the power grid, and provides a more reasonable, practical, and widely applicable sub-regulation strategy, providing a practical method for the future development of the electrochemical energy storage power station.

[0058] The basic idea of the control method proposed in the present invention to improve the peak load regulation capability of the electrochemical energy storage power station is: first clarify the mechanism of the electrochemical energy storage power station charging and discharging and participating in the operation of the power grid, and reasonably divide the operation mode of the electrochemical energy storage power station through the analysis of the mechanism, and realize the flexible coordination between the electrochemical energy storage power station and the power grid by proposing a control strategy for the rapid switching of the operation mode, so as to achieve the purpose of regulating peak load and energy consumption. Figure 1 As shown, including:

[0059] S1: Establish the basic model of flow battery and the grid-connected model of energy storage power station.

[0060] like Figure 1 As shown, the positive electrode electrolyte of the liquid flow battery is positive tetravalent and pentavalent vanadium ions, and the negative electrode electrolyte is positive divalent and trivalent vanadium ions. Through electrode reactions, ion exchange occurs at the ion exchange point to generate electron transfer and generate current, thereby realizing the battery's charging and discharging process.

[0061] like Figure 2 As shown, the liquid flow power station is composed of multiple energy storage units, each of which contains a large number of single battery packs. The battery pack generates direct current, which is increased by the current through the combiner cabinet, enters the converter device to be inverted into alternating current and is incorporated into the power grid. In addition, an on-site monitoring system is set in each energy storage unit to monitor the status of the battery pack.

[0062] It should be noted that the charge and discharge mechanism of liquid flow batteries is clarified, and the basic charge and discharge model of liquid flow power stations is established. SOC (state of charge) is introduced as an observation value.

[0063] Furthermore, a flow battery energy storage grid-connected model is established: the capacity of the energy storage power station is considered and its specific grid-connected model is clarified.

[0064] It should be noted that liquid flow batteries are composed of positive and negative electrolytic cells, electrodes, ion exchange membranes, bipolar plates, circulation pumps and pipeline loops. Deep discharge can be achieved, that is, the stored charge in the battery is completely consumed to reach the SOC = 0 state. It is suitable for energy storage scenarios that require long-term use.

[0065] It should be noted that in the constructed energy storage grid-connected model, the energy storage battery system is connected to the AC power grid through the energy storage converter (PCS) to realize the conversion and transmission of energy between the flow battery and the AC power grid.

[0066] It should be noted that the operation strategy of the liquid flow energy storage power station to ensure the consumption of new energy is a prerequisite for realizing the energy storage regulation of peak loads. Under this operation strategy, the energy storage power station can have the energy circulation process and then participate in the peak load regulation task.

[0067] S2: Determine the objective function and constraints for grid-connected flow battery energy storage.

[0068] likeFigure 3 As shown, this strategy studies the liquid flow energy storage battery system, obtains the dynamic characteristics of the liquid flow battery through charge and discharge simulation, including calculating the charge and discharge power and efficiency of the battery to fit the mathematical characteristics of the battery. Through system uncertainty modeling and analysis, the objective function of the configuration is obtained and the constraint conditions are determined. Finally, the configuration model and method of the liquid flow energy storage power station are obtained and verified by combining with calculation examples.

[0069] Determine the grid connection objective function, and its mathematical expression is:

[0070] F(X) = W1×f1 + W2×f2 + f(C, P, Q, E)

[0071] In the formula, F(X) represents the value of the objective function; X represents the decision variables of the energy storage planning scheme, including the layout, capacity, charge and discharge strategy, etc. of the energy storage device; f1, f2, f3 respectively represent evaluation indicators; W1, W2, W3 are the corresponding weight coefficients; C represents the investment cost of the energy storage device; P represents the operation and maintenance cost of the energy storage device; Q represents the capacity and performance parameters of the energy storage device; E represents the satisfaction degree of the power generation characteristics of the liquid flow energy storage power station and the load demand. By adjusting the weight coefficients W1, W2, W3, the objective function can be optimized according to actual needs.

[0072] f1 is the regulation ability index under different loads, and the greater it is, the stronger the regulation ability; f2 is the economic index, and the greater it is, the better the economy. Their mathematical expressions are respectively:

[0073]

[0074]

[0075] In the formula, E max represents the maximum energy storage capacity of the energy storage device; E min represents the minimum energy storage capacity of the energy storage device; u represents the load demand. C1 represents the energy storage capacity of the power grid; C2 represents the energy storage capacity corresponding to the load demand.

[0076] During the operation of the energy storage, the mathematical expressions for the boundary constraints that must be satisfied, such as the state of charge, system output, battery output, and non-positive curtailment of energy, are:

[0077]

[0078] In the formula: SOC , are the upper and lower boundary constraint values of the energy storage capacity respectively; P total (i) represents the total output of the energy system, and P curt (i) represents the maximum transmission limit of the transmission section; P bat , They are the upper and lower boundary constraint values of the energy storage output. P d (i) represents the comprehensive curtailment power.

[0079] It should be noted that to ensure the stability of the frequency, a reasonable range needs to be set for the energy storage power. Therefore, a frequency safety default constraint condition also needs to be added to the objective function, and its mathematical expression is:

[0080] max|z - z1| ≤ s

[0081] In the formula, z represents the frequency value; z1 represents the rated frequency; s represents the maximum allowable frequency deviation. After completing the above constraints, under the condition of ensuring that there is an optimal energy storage in the power grid for any fault, design the constraint condition for the minimum cut-off amount, and its expression is:

[0082]

[0083] In the formula, ΔF represents the constraint condition of the minimum cut-off amount; k represents the generator power constraint; g represents the optimal energy storage condition.

[0084] S3: Divide the operation mode of the liquid flow energy storage based on its operation data.

[0085] As Figure 4 shown, first read the power station command signal, and initially determine the time period interval in the two working states of the liquid flow power station; judge whether the energy storage power station is in the power transfer time period. The main basis for the judgment is the load state at this time. If the load is at the peak period at this time, it is the power transfer period. At this time, if the power of the rest of the power generation side is not enough to support the load, the energy storage device quickly inputs for discharging; if it is enough to support, the energy storage device charges and quickly issues a dispatching command, and the dispatching command should meet the drinking state constraint, the discharge power constraint and the power rationing constraint. If it is not at the load peak, it is the fluctuation suppression state. The opposite of the fluctuation signal obtained by wavelet decomposition is used as the charging and discharging power of the energy storage to issue a dynamic power regulation command. In the above two processes, continuously monitor the load state and the energy storage state to make the energy storage system always operate in the power grid.

[0086] It should be noted that according to the operation data, combined with the load curve and the energy storage power station output curve, the working mode is divided into the power transfer and the fluctuation suppression operation modes.

[0087] Furthermore, when the energy storage is in the power transfer working mode, the load generally exceeds the power rationing limit (the upper limit of power supply at a certain moment). At this time, it quickly intervenes to make up for the output, and the energy storage sends electricity out beyond the power rationing limit. However, due to the fluctuation characteristics of distributed energy generation in power supply, there are also situations where the load in the power transfer mode is lower than the power rationing limit. At this time, the energy storage system charges with the difference power to make up for the deficit. The above two situations can be uniformly described by the following formula.

[0088] P bat (i) = P curt (i) + P PV (i)

[0089] Where: P curt (i) is the power curtailment limit for the i-th minute, that is, the power curtailment order issued by the maximum transmission channel or the regional power grid dispatching center.

[0090] It should be noted that when the energy storage is in the working mode of suppressing fluctuations, the power supply and the load are in the dynamic fluctuation stage. At this time, the charge and discharge power commands of the energy storage are composed of two aspects: on the one hand, suppressing the power supply fluctuation; on the other hand, tracking the reference load state to improve the energy transfer and fluctuation suppression ability.

[0091] It should be noted that the operating state of the energy storage is divided into the electric energy transfer mode and the fluctuation suppression mode. The electric energy transfer mode means that when the power supply and the load do not match, the energy storage intervenes in the system. When there is a low electricity consumption valley, the energy storage is charged. When there is a load peak, the energy storage quickly adjusts to the discharge processing mode to achieve the peak shaving effect of the energy storage; the fluctuation suppression mode means that when the power and the supply are basically balanced, the energy storage participates in the grid regulation to dynamically balance the supply and demand.

[0092] Furthermore, the electric energy transfer stage is divided into two sections. The first section is not charged, and it is defaulted from 23:00 to 5:00 the next day. The second section is discharge, and it discharges during the peak electricity consumption period, which can be generally divided into 3 stages, namely 8:00 to 11:00 in the morning, 14:00 to 17:00 in the afternoon, and 18:00 to 22:00 in the evening.

[0093] Such as Figure 5 As shown, two typical days are selected for observation at 1-hour intervals. Ideally, the energy storage should discharge at the load peak and charge at the load valley. This shows that the energy storage power fluctuation curve should be basically symmetric with the load fluctuation curve to ensure the peak shaving effect of the energy storage and the consumption of new energy. However, without adopting this scheduling, the energy storage power basically does not play a role in regulating the peak load, and the average power is 3.197 million kilowatts.

[0094] S4: Implement the configuration strategy based on ensuring the consumption of new energy by the liquid flow energy storage power station.

[0095] It should be noted that according to the equivalent circuit of the liquid flow battery, charge and discharge simulation is carried out to study the dynamic efficiency and absorption power fitting model of the liquid flow battery.

[0096] Furthermore, a stochastic modeling analysis is carried out on the active distribution network containing the liquid flow battery energy storage system, and prediction models for distributed power sources such as photovoltaic and wind power and load output are constructed.

[0097] It should be noted that considering the cost, direct economic benefits, environmental benefits, wind curtailment losses and loss reduction costs of the flow battery energy storage system, a multi-objective optimization configuration model of the flow battery energy storage system is constructed, and the operation strategy of the flow battery energy storage system for maximizing the consumption of wind and light is implemented.

[0098] S5: Establish a control strategy for the electrochemical energy storage power station to quickly switch between different operation modes.

[0099] The mathematical model of the charge and discharge command of the energy storage power station is established as follows:

[0100] P bat (i) = P bat，1 (i) + P bat，2 (i)

[0101] P bat，1 (i) = -P fluc (i)

[0102]

[0103] In the formula: P bat，1 (i), P bat，2 (i) are respectively the two components of the charge and discharge power commands of the energy storage at the i-th minute; P fluc (i) is the fluctuation signal at the i-th minute obtained by wavelet decomposition; S ref (i) is the reference remaining capacity at the beginning of the i-th minute of the energy storage;

[0104] Determine the load state compensation coefficient α, and its capacity configuration research is used to characterize the speed of the energy storage tracking the reference remaining capacity.

[0105] Use this control strategy for chronological production simulation to observe the participation degree of the energy storage in peak load regulation.

[0106] S6: Conduct effective simulation verification and analysis on the control strategy that takes into account improving the peak load regulation ability and new energy consumption ability of the electrochemical energy storage power station, and verify the effectiveness of this control strategy in improving the energy storage's participation in peak shaving and promoting new energy consumption.

[0107] As Figure 6 shown, after adding this scheduling method for chronological production simulation, the load curve and the energy storage power curve show an obvious symmetrical trend, with a rapid response speed, an average power of 3.225 million kilowatts, while ensuring that the new energy consumption ability is not affected, and the working state of the energy storage can be clearly distinguished through observation, proving the feasibility of this control strategy.

[0108] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

[0109] Embodiment 2

[0110] The second embodiment of the present invention provides a regulation system for improving the peak load regulation ability of an electrochemical energy storage power station, which is characterized by including a model establishment module, a target optimization module, a mode division module, a configuration implementation module, a regulation switching module, and a simulation verification module.

[0111] Model establishment module: Establish a basic model of a flow battery and a grid-connected model of a flow battery energy storage.

[0112] Target optimization module: Determine the objective function and constraint conditions for grid-connected operation of a flow battery energy storage.

[0113] Mode division module: Divide the operation mode based on operation data.

[0114] Configuration implementation module: Implement the configuration based on ensuring the consumption of new energy in a flow energy storage power station.

[0115] Regulation switching module: Establish the regulation for quickly switching different operation modes of an electrochemical energy storage power station.

[0116] Simulation verification module: Conduct effective simulation verification and analysis on the regulation method that takes into account improving the peak load regulation ability and new energy consumption ability of an electrochemical energy storage power station.

[0117] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention, or the part that contributes to the existing technology, or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs, etc., which can store program codes.

[0118] The logic and / or steps represented in the flowchart or otherwise described herein can, for example, be considered a definitional sequence of executable instructions for implementing logical functions, which can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

[0119] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection (electronic device) having one or more wirings, a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise appropriate processing as necessary, and then storing it in a computer memory.

[0120] It should be understood that the various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gates for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0121] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A control method for improving the peak load regulation ability of an electrochemical energy storage power station, characterized in that: including establishing a basic model of a flow battery and a grid-connected model of a flow battery energy storage; determining the objective function and constraint conditions for the grid connection of the flow battery energy storage; dividing the operation modes based on operation data; implementing the configuration of the flow energy storage power station based on ensuring the consumption of new energy; establishing the regulation and control for the rapid switching of different operation modes of the electrochemical energy storage power station.

2. The regulation method for improving the peak load regulation ability of an electrochemical energy storage power station according to claim 1, wherein: The basic model of the flow battery clarifies the charge and discharge mechanism of the flow battery, establishes the basic charge and discharge model of the flow power station, and introduces the state of charge as an observation value; The grid-connected model of the flow battery energy storage considers the capacity of the energy storage power station and clarifies the specific model for the grid connection of the energy storage power station; The flow battery includes positive and negative electrolytic cells, electrodes, ion exchange membranes, bipolar plates, circulation pumps, and pipeline circuits; In constructing the grid-connected energy storage model, the energy storage battery system is connected to the AC grid through an energy storage converter to achieve the conversion and transmission of energy between the flow battery and the AC grid.

3. The regulation method for improving the peak load regulation ability of an electrochemical energy storage power station according to claim 2, characterized in that: The objective function of the grid connection of the flow battery energy storage is expressed as: F(X) = W1×f1 + W2×f2 + f(C, P, Q, E) In the formula, F(X) represents the objective function value; X represents the decision variables of the energy storage planning scheme, including the layout, capacity, and charge and discharge strategies of the energy storage device; f1, f2, f3 respectively represent evaluation indicators; W1, W2, W3 are the corresponding weight coefficients; C represents the investment cost of the energy storage device; P represents the operation and maintenance cost of the energy storage device; Q represents the capacity and performance parameters of the energy storage device; E represents the satisfaction degree of the power generation characteristics and load demand of the flow energy storage power station; where E max represents the maximum energy storage capacity of the energy storage device; E min represents the minimum energy storage capacity of the energy storage device; u represents the load demand; C1 represents the energy storage capacity of the power grid; C2 represents the energy storage capacity corresponding to the load demand, f1 is the regulation capacity index under different loads, and f2 is the economic index; Adding the frequency safety default constraint condition to the objective function, the mathematical expression is: max|z - z1| ≤ s In the formula, z represents the frequency value; z1 represents the rated frequency; s represents the maximum allowable frequency deviation; under the condition of ensuring that there is an optimal energy storage in the grid for any fault, designing the constraint condition for the minimum cut-off amount, the expression is: In the formula, ΔF represents the constraint condition for the minimum cut-off amount; k represents the unit power generation constraint; g represents the optimal energy storage condition.

4. The regulation method for improving the peak load regulation ability of an electrochemical energy storage power station according to claim 3, characterized in that: The mathematical expressions for the constraint conditions to satisfy the boundary constraints of the state of charge, system output, battery output, and non-positive curtailment of energy are: In the formula, SOC , are the upper and lower boundary constraint values of the energy storage capacity respectively; P total (i) represents the total output of the energy system, and P curt (i) represents the maximum transmission limit of the transmission section; P bat , are the upper and lower boundary constraint values of the energy storage output respectively; P d (i) represents the comprehensive curtailment power.

5. The regulation method for improving the peak load regulation ability of an electrochemical energy storage power station according to claim 4, characterized in that: The operation modes include the power transfer operation mode and the fluctuation suppression operation mode; When the energy storage is in the power transfer working mode, it is expressed as: P bat (i) = P curt (i) + P PV (i) Where P curt (i) is the power curtailment limit for the i-th minute, that is, the power curtailment order issued by the maximum transmission channel or the regional grid dispatching center; When the energy storage is in the fluctuation suppression working mode, the power supply and the load amount are in the dynamic fluctuation stage. At this time, the charge and discharge power commands of the energy storage include suppressing the power supply fluctuation; tracking the reference load state to improve the ability of power transfer and fluctuation suppression.

6. The regulation method for improving the peak load regulation ability of an electrochemical energy storage power station according to claim 5, characterized in that: The implementation of the configuration of the flow energy storage power station based on ensuring the consumption of new energy is expressed as: Where, P batt is the equivalent absorption power of the energy storage battery; η char , η dis are the dynamic charging and discharging efficiencies of the energy storage converter respectively; F char , F dis are the charging and discharging flags of the energy storage station respectively; Constructing a multi-objective optimization configuration model of the flow battery energy storage system, expressed as: min f(x) = [f1(x), f2(x),..., f m (x)] x = [x1, x2,..., x n ​ In the formula, x is the n-dimensional decision variable of this optimization problem; fi(x) is the i-th objective function, and all objective functions constitute the objective vector f(x); gj(x) is the j-th inequality constraint function, and hk(x) is the k-th equality constraint function.

7. The regulation method for improving the peak load regulation ability of an electrochemical energy storage power station according to claim 6, characterized in that: The regulation and control strategy for the rapid switching of different operation modes of the electrochemical energy storage power station is expressed as: P bat (i) = P bat，1 (i) + P bat，2 (i) P bat，1 (i) = -P fluc (i) where P bat，1 (i) and P bat，2 (i) are two components of the charge and discharge power commands for the i-th minute of energy storage respectively; P fluc (i) is the fluctuation signal for the i-th minute obtained after wavelet decomposition; S ref (i) is the reference remaining capacity at the beginning of the i-th minute of energy storage.

8. A system for a regulation method of improving the peak load regulation ability of an electrochemical energy storage power station according to any one of claims 1-7, characterized in that: It includes a model establishment module, a target optimization module, a pattern division module, a configuration implementation module, a regulation switching module, and a simulation verification module.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method described in any one of claims 1 to 7.

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