Energy storage frequency modulation automatic configuration method, storage medium and electronic equipment

Abstract

The invention discloses an energy storage frequency modulation automatic configuration method, a storage medium and electronic equipment, and the method comprises the steps: firstly, enabling a motor group frequency modulation demand of a to-be-configured energy storage frequency modulation system to be matched with an energy storage frequency modulation configuration feature knowledge base, and obtaining an initial frequency modulation configuration scheme; an energy storage frequency modulation configuration verification model is established according to the energy storage system basic model, the thermal power generating unit AGC response model, the energy storage frequency modulation control model and the economical efficiency analysis model, and then the initial frequency modulation configuration scheme is optimized by adopting an optimization algorithm; calculating a typical daily cost return rate of each optimized frequency modulation configuration scheme in combination with an energy storage frequency modulation configuration verification model, selecting the optimized frequency modulation configuration scheme with the optimal typical daily cost return rate as a target frequency modulation configuration scheme, and determining an initial configuration scheme according to empirical data of frequency modulation configuration; and then the schemes are optimized by adopting an algorithm, and the scheme with the optimal cost yield is selected, so that the energy storage frequency modulation configuration scheme with better economical efficiency can be determined at a relatively high speed.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage frequency modulation, and in particular to an energy storage frequency modulation automatic configuration method, a storage medium, and an electronic device. Background Art

[0002] In recent years, the use of energy storage systems for frequency regulation in my country's thermal power plants, including lithium batteries, flywheels, and supercapacitors, has gradually gained application in projects, and the technology has become relatively mature. Currently, most domestic thermal power plant frequency regulation projects, based on engineering experience, allocate energy storage power at 1.5% to 3.0% of the unit capacity and energy storage capacity at 0.5 to 1 hour. These projects fail to consider the impact of unit performance differences on energy storage selection and capacity configuration, fail to scientifically adjust to actual frequency regulation needs, and lack technical and economic verification of power and capacity configurations. Summary of the Invention

[0003] The purpose of this application is to overcome the technical and economic deficiencies of energy storage frequency modulation configuration in the prior art, and to provide an energy storage frequency modulation automatic configuration method, storage medium and electronic device.

[0004] The technical solution of the present application provides a method for automatically configuring energy storage frequency regulation, including:

[0005] Inputting the frequency regulation requirements of the thermal power units of the energy storage frequency regulation system to be configured into the energy storage frequency regulation configuration feature knowledge base for matching, thereby obtaining an initial frequency regulation configuration plan, wherein the initial frequency regulation configuration plan includes at least energy storage type, energy storage technology route, energy storage power, and energy storage capacity configuration;

[0006] Establish an energy storage frequency regulation configuration verification model based on the energy storage system basic model, thermal power unit AGC response model, energy storage frequency regulation control model, and economic analysis model;

[0007] The initial frequency regulation configuration scheme is iteratively optimized using an optimization algorithm. During the iterative optimization process, each optimized frequency regulation configuration scheme is input into the energy storage frequency regulation configuration verification model to calculate the typical daily cost-benefit ratio, until the optimized frequency regulation configuration scheme with the best typical daily cost-benefit ratio is used as the target frequency regulation configuration scheme.

[0008] Furthermore, the energy storage frequency regulation configuration feature knowledge base includes multiple configuration records, each of which includes at least the regional power grid to which the frequency regulation project belongs, the capacity of the thermal power unit, the energy storage type, the energy storage technology route, the energy storage power and the energy storage capacity configuration.

[0009] Furthermore, the frequency regulation requirements of the thermal power units include target regional power grid, target thermal power unit capacity, target energy storage type and target energy storage technology route;

[0010] The fire power unit frequency modulation demand of the to-be-configured energy storage frequency modulation system is input into the energy storage frequency modulation configuration feature knowledge base for matching to obtain an initial frequency modulation configuration scheme, and specifically includes:

[0011] The target regional power grid, target energy storage type and target energy storage technology route in the fire power unit frequency modulation demand are taken as search conditions to search the energy storage frequency modulation configuration feature knowledge base once;

[0012] If a matching primary configuration record is searched, the target fire power unit capacity is taken as a search condition to search the primary configuration record twice;

[0013] If a matching secondary configuration record is searched, an initial frequency modulation configuration scheme is determined according to the secondary configuration record;

[0014] If no matching secondary configuration record is searched, an initial frequency modulation configuration scheme is determined according to the primary configuration record.

[0015] Further, the initial frequency modulation configuration scheme determined according to the secondary configuration record specifically includes:

[0016] An average value of configuration power of all the secondary configuration records is calculated as an initial energy storage power configuration;

[0017] An average value of configuration capacity of all the secondary configuration records is calculated as an initial energy storage capacity configuration.

[0018] Further, the initial frequency modulation configuration scheme determined according to the primary configuration record specifically includes:

[0019] The primary configuration record is fitted to determine a power configuration-fire power unit capacity fitting relationship;

[0020] The target fire power unit capacity is input into the power configuration-fire power unit capacity fitting relationship to output an initial energy storage power configuration;

[0021] An average value of configuration capacity of all the primary configuration records is calculated as an initial energy storage capacity configuration.

[0022] Further, the initial frequency modulation configuration scheme obtained by inputting the fire power unit frequency modulation demand of the to-be-configured energy storage frequency modulation system into the energy storage frequency modulation configuration feature knowledge base for matching also includes:

[0023] If no matching primary configuration record is searched, the target energy storage type and target energy storage technology route are taken as search conditions to search the energy storage frequency modulation configuration feature knowledge base for a primary configuration record again;

[0024] If no matching configuration record is still searched, a preset frequency modulation configuration scheme is taken as an initial frequency modulation configuration scheme.

[0025] Further, the initial frequency modulation configuration scheme is iteratively optimized by using an optimization algorithm, and in the iterative optimization process, each optimization frequency modulation configuration scheme is input into the energy storage frequency modulation configuration verification model to calculate a typical day cost benefit rate, until an optimization frequency modulation configuration scheme with an optimal typical day cost benefit rate is obtained as a target frequency modulation configuration scheme, and the iterative optimization process specifically includes:

[0026] The particle dimension is determined to be energy storage power and energy storage time, the objective function is the cost benefit rate of the energy storage frequency modulation system, the constraint conditions of the particles are set, and the particle swarm parameters are initialized;

[0027] The particle swarm is initialized, N particles are randomly generated, and the position, adjustment speed and adjustment direction of each particle are initialized;

[0028] The particle swarm iteratively optimizes according to the corresponding adjustment speed and adjustment direction, calls the energy storage frequency modulation configuration scheme to calculate the typical day cost benefit rate of each particle, and updates the global optimal position and the historical optimal position of each particle in the iterative optimization process;

[0029] If the number of iterations reaches the upper limit or the change amplitude of the global optimal position and the historical optimal position of each particle in the continuous set number of iterations is less than a preset amplitude, an optimization frequency modulation configuration scheme corresponding to a particle with an optimal typical day cost benefit rate is output as a target frequency modulation configuration scheme.

[0030] Further, the input of each optimization frequency modulation configuration scheme into the energy storage frequency modulation configuration verification model to calculate the typical day cost benefit rate specifically includes:

[0031] The typical day AGC instruction of the thermal power generating unit of the energy storage frequency modulation system to be configured is input into the thermal power generating unit AGC response model, and the predicted output power of the thermal power generating unit is output;

[0032] The typical day AGC instruction and the predicted output power are input into the energy storage frequency modulation control model to generate a current energy storage charge and discharge instruction;

[0033] The optimization frequency modulation configuration scheme and the current energy storage charge and discharge instruction are input into the energy storage system basic model to output a current energy storage system model;

[0034] The current energy storage system model is input into the economic analysis model to output a typical day cost benefit rate corresponding to the current optimization frequency modulation configuration scheme.

[0035] The technical solution of the present application further provides a storage medium, which stores computer instructions. When a computer executes the computer instructions, it is used to execute the energy storage frequency regulation automatic configuration method as described above.

[0036] The technical solution of the present application further provides an electronic device, comprising at least one processor; and

[0037] a memory communicatively connected to the at least one processor; wherein,

[0038] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the energy storage frequency regulation automatic configuration method as described above.

[0039] The above technical solution has the following beneficial effects:

[0040] This application first matches the frequency regulation requirements of the generator group with the knowledge base of energy storage frequency regulation configuration characteristics to obtain an initial frequency regulation configuration plan, then uses an optimization algorithm to iteratively optimize the initial frequency regulation configuration plan, and combines the energy storage frequency regulation configuration verification model to calculate the typical daily cost-benefit ratio of each optimized frequency regulation configuration plan, and selects the optimized frequency regulation configuration plan with the best typical daily cost-benefit ratio as the target frequency regulation configuration plan. First, the initial configuration plan is determined based on the empirical data of the frequency regulation configuration, and then the algorithm is used to optimize the plan to select the plan with the best cost-benefit ratio. This can quickly determine the energy storage frequency regulation configuration plan with better economic efficiency, and solve the pain points of thermal storage frequency regulation projects such as extensive energy storage power configuration and insufficient capacity verification. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The disclosure of this application will become easier to understand with reference to the accompanying drawings. It should be understood that these drawings are for illustrative purposes only and are not intended to limit the scope of protection of this application. In the drawings:

[0042] Figure 1 This is a flow chart of a method for automatic configuration of energy storage frequency regulation in one embodiment of the present application;

[0043] Figure 2 This is an example of a configuration record in the energy storage frequency regulation configuration feature knowledge base in one embodiment of the present application;

[0044] Figure 3 is a detailed flow chart of step S101 in one embodiment of the present application;

[0045] Figure 4 is a detailed flow chart of step S103 in one embodiment of the present application;

[0046] Figure 5 This is a flow chart of calling the energy storage frequency modulation configuration verification model in one embodiment of the present application;

[0047] Figure 6 It is a schematic diagram of the hardware structure of an electronic device in one embodiment of the present application. DETAILED DESCRIPTION

[0048] The specific implementation of this application is further described below with reference to the accompanying drawings.

[0049] It is easy to understand that according to the technical solution of this application, a variety of structural methods and implementation methods can be replaced with each other by those skilled in the art without changing the essential spirit of this application. Therefore, the following specific embodiments and drawings are only exemplary descriptions of the technical solution of this application and should not be regarded as the entire application or as a limitation or restriction of the technical solution of the application.

[0050] In this specification, directional terms such as "up," "down," "left," "right," "front," "back," "front," "back," "top," and "bottom" are defined relative to the configurations shown in the accompanying drawings. These terms are relative and may vary depending on the device's location or usage. Therefore, these and other directional terms should not be construed as restrictive. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0051] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0052] A method for automatic configuration of energy storage frequency regulation, such as Figure 1 Shown, including:

[0053] Step S101: Input the frequency regulation requirements of the thermal power units of the energy storage frequency regulation system to be configured into the energy storage frequency regulation configuration feature knowledge base for matching, and obtain an initial frequency regulation configuration plan. The initial frequency regulation configuration plan at least includes energy storage type, energy storage technology route, energy storage power, and energy storage capacity configuration.

[0054] Step S102: establishing an energy storage frequency regulation configuration verification model based on the energy storage system basic model, the thermal power unit AGC response model, the energy storage frequency regulation control model, and the economic analysis model.

[0055] Step S103: Using an optimization algorithm, the initial frequency regulation configuration scheme is iteratively optimized. During the iterative optimization process, each optimized frequency regulation configuration scheme is input into the energy storage frequency regulation configuration verification model to calculate the typical daily cost-benefit ratio, until the optimized frequency regulation configuration scheme with the best typical daily cost-benefit ratio is determined as the target frequency regulation configuration scheme.

[0056] Specifically, the energy storage configuration information of existing thermal-storage combined frequency regulation application demonstration projects is first collected, and each piece of energy storage configuration information is converted into a unified format and stored in the energy storage frequency regulation configuration feature knowledge base. When configuring energy storage frequency regulation for the thermal power units of the energy storage frequency regulation system to be configured, the frequency regulation configuration requirements of the thermal power units of the energy storage frequency regulation system are input into the energy storage frequency regulation configuration feature knowledge base for search and matching, and the initial frequency regulation configuration scheme is determined based on the matching results. The initial frequency regulation configuration scheme specifically includes energy storage type, energy storage technology route, energy storage power and energy storage capacity configuration, among which energy storage types include single energy storage and hybrid energy storage; energy storage technology routes include lithium-ion batteries, liquid flow batteries, flying streams, supercapacitors, etc.; energy storage power and energy storage capacity configuration include the energy storage power and energy storage capacity corresponding to each energy storage technology route.

[0057] At the same time, a storage frequency regulation configuration verification model can be established based on the energy storage system basic model, the thermal power unit AGC response model, the energy storage frequency regulation control model and the economic analysis model. The thermal power unit AGC response model is used to determine the predicted output power of the thermal power unit, the energy storage frequency regulation control model is used to generate energy storage charging and discharging instructions based on the predicted output power, the energy storage system basic model is used to generate the corresponding energy storage system model based on the energy storage charging and discharging instructions and the frequency regulation configuration plan, and the economic analysis model is used to calculate the typical daily cost-benefit ratio based on the energy storage system model.

[0058] An optimization algorithm is used to iteratively optimize the initial frequency regulation configuration scheme. An optimized frequency regulation configuration scheme is generated in each iteration. The energy storage frequency regulation configuration verification model is called to calculate the typical daily cost-benefit ratio corresponding to the optimized frequency regulation configuration scheme. After continuous iterative optimization, the optimized frequency regulation configuration scheme with the best typical daily cost-benefit ratio is determined as the target frequency regulation configuration scheme.

[0059] The automatic energy storage frequency regulation configuration method of the embodiment of the present application first matches the frequency regulation requirements of the generator group with the energy storage frequency regulation configuration feature knowledge base to obtain an initial frequency regulation configuration scheme, then uses an optimization algorithm to iteratively optimize the initial frequency regulation configuration scheme, combines the energy storage frequency regulation configuration verification model to calculate the typical daily cost-benefit ratio of each optimized frequency regulation configuration scheme, and selects the optimized frequency regulation configuration scheme with the best typical daily cost-benefit ratio as the target frequency regulation configuration scheme. The initial configuration scheme is first determined based on the empirical data of the frequency regulation configuration, and then the algorithm is used to optimize the scheme to select the scheme with the best cost-benefit ratio. This method can quickly determine the energy storage frequency regulation configuration scheme with better economic performance, thereby solving the pain points of thermal storage frequency regulation projects, such as extensive energy storage power configuration and insufficient capacity verification.

[0060] In one embodiment, the energy storage frequency regulation configuration feature knowledge base includes multiple configuration records, each configuration record at least including the regional power grid to which the frequency regulation project belongs, the capacity of the thermal power unit, the energy storage type, the energy storage technology route, the energy storage power and the energy storage capacity configuration.

[0061] Figure 2 The following diagram shows an example of configuration records in the energy storage frequency regulation configuration feature knowledge base: Configuration record number 1 shows a single energy storage type, with only lithium batteries as its energy storage technology. The corresponding energy storage power is 20MW and the energy storage capacity is 1h. Configuration record number 2 shows a hybrid energy storage type, with both lithium batteries and supercapacitors as its energy storage technology. The corresponding energy storage power of lithium batteries is 15MW and the energy storage capacity is 0.5h, while the corresponding energy storage power of supercapacitors is 5MW and the energy storage capacity is 4min.

[0062] The energy storage frequency regulation configuration feature knowledge base is equipped with a data collection interface, which automatically searches for configuration records of thermal storage frequency regulation projects that have been put into production on the market every month and adds them to the configuration knowledge base to achieve dynamic updating of the knowledge base.

[0063] In one embodiment, the frequency regulation requirements of the thermal power generation units include a target regional power grid, a target thermal power generation unit capacity, a target energy storage type, and a target energy storage technology route;

[0064] The frequency regulation requirements of the thermal power units in the energy storage frequency regulation system to be configured are input into the energy storage frequency regulation configuration feature knowledge base for matching, and an initial frequency regulation configuration plan is obtained, specifically including:

[0065] A search is conducted in the energy storage frequency regulation configuration feature knowledge base using the target regional power grid, target energy storage type, and target energy storage technology route in the thermal power unit frequency regulation requirements as search conditions;

[0066] If a matching primary configuration record is found, a secondary search is performed in the primary configuration record using the target thermal power unit capacity as the search condition;

[0067] If a matching secondary configuration record is found, the initial frequency modulation configuration scheme is determined according to the secondary configuration record;

[0068] If no matching secondary configuration record is found, the initial frequency modulation configuration scheme is determined according to the primary configuration record.

[0069] The frequency regulation requirements of the thermal power units in the energy storage frequency regulation system to be configured include the target grid area where the current energy storage frequency regulation system is located, the target capacity of the thermal power units, the target energy storage type of the thermal power units, and the target energy storage technology route.

[0070] In the embodiment of the present application, when matching the frequency regulation requirements of thermal power units, a search is first performed in the energy storage frequency regulation configuration feature knowledge base using the target regional power grid, target energy storage type, and target energy storage technology route as search conditions. Configuration records whose searched regional power grid, energy storage type, and energy storage technology route are all the same as the frequency regulation requirements of the thermal power units are taken as a primary configuration record.

[0071] Then, a secondary search is performed in the primary configuration records using the target thermal power unit capacity as the search condition, and the configuration records with the same thermal power unit capacity and thermal power unit frequency regulation requirements are taken as secondary configuration records. The initial frequency regulation configuration record is determined based on all secondary configuration records.

[0072] If no matching secondary configuration record is found during the secondary search, the initial frequency modulation configuration scheme is determined directly based on the primary configuration record.

[0073] The initial frequency modulation configuration scheme is determined based on the secondary configuration record, specifically including:

[0074] Calculate the average value of the configuration power of all secondary configuration records as the initial energy storage power configuration;

[0075] The average value of the configuration capacity of all secondary configuration records is calculated as the initial energy storage capacity configuration.

[0076] If the target energy storage type is a single energy storage type, the configuration record only contains one energy storage type. When the secondary configuration records include two or more, the average value of the configured power and configured capacity of the energy storage type is calculated as the initial energy storage power configuration and capacity configuration; when the secondary configuration record includes only one, the configured power and configured capacity of the secondary configuration record are directly used as the initial energy storage power configuration and capacity configuration.

[0077] If the target energy storage type is hybrid energy storage, the configuration record contains at least two energy storage types. When the secondary configuration records include more than two, the average value of the configured power and configured capacity of each energy storage type is calculated as the corresponding initial energy storage power configuration and capacity configuration. When the secondary configuration record includes only one, the average value of the configured power and configured capacity of each energy storage type in the secondary configuration record is directly used as the corresponding initial energy storage power configuration and capacity configuration.

[0078] The initial frequency modulation configuration scheme is determined based on a configuration record, specifically including:

[0079] Fit the primary configuration records to determine the power configuration-thermal power unit capacity fitting relationship;

[0080] The target thermal power unit capacity is input into the power configuration-thermal power unit capacity fitting relationship, and the initial energy storage power configuration is output;

[0081] The average value of the configuration capacity of all the primary configuration records is calculated as the initial energy storage capacity configuration.

[0082] If no secondary configuration records are found during the secondary search, the primary configuration records are fitted to determine the power configuration-thermal power unit capacity fitting relationship. When the target energy storage type is single energy storage, the power configuration-thermal power unit capacity fitting relationship includes a single relationship curve; when the target energy storage type is hybrid energy storage, the power configuration-thermal power unit capacity fitting relationship includes multiple relationship curves, one for each energy storage technology route.

[0083] The initial energy storage power configuration is output by fitting the target thermal power unit capacity into the power configuration-thermal power unit capacity relationship. The initial energy storage capacity configuration corresponding to each energy storage technology route is set to the average configuration capacity of all primary configuration records for that energy storage technology route.

[0084] Furthermore, if no matching primary configuration record is found, a secondary search for a primary configuration record is performed in the energy storage frequency regulation configuration feature knowledge base using the target energy storage type and the target energy storage technology route as search conditions;

[0085] If no matching primary configuration record is found, the preset frequency modulation configuration scheme is used as the initial frequency modulation configuration scheme.

[0086] Specifically, if no matching primary configuration record is found, a search is conducted using the target energy storage type and target energy storage technology route as search criteria, reducing the search criteria for the target regional power grid to expand the search scope. If a primary configuration record is found, a secondary search is conducted within the primary configuration records according to the aforementioned process. If no primary configuration record is found, the preset frequency regulation configuration scheme is used as the initial frequency regulation configuration scheme. For example, the energy storage power is configured at 1.5% to 3.0% of the unit capacity, and the energy storage capacity is configured at 0.5 to 1 hour.

[0087] Figure 3 The flowchart of step S101 is shown in detail, specifically including:

[0088] Step S301: a search is performed in an energy storage frequency regulation configuration feature knowledge base using the target regional power grid, target energy storage type, and target energy storage technology route in the thermal power unit frequency regulation requirements as search conditions.

[0089] Step S302: If a matching primary configuration record is found, execute step S303; otherwise, execute step S307.

[0090] Step S303: performing a secondary search in the primary configuration records using the target thermal power unit capacity as a search condition.

[0091] Step S304: If a matching secondary configuration record is found, execute step S305; otherwise, execute step S306.

[0092] Step S305: Calculate the average value of the configured powers of all secondary configuration records as the initial energy storage power configuration; calculate the average value of the configured capacities of all secondary configuration records as the initial energy storage capacity configuration.

[0093] Step S306: Fit the primary configuration records to determine the power configuration-thermal power unit capacity fitting relationship; input the target thermal power unit capacity into the power configuration-thermal power unit capacity fitting relationship to output the initial energy storage power configuration; calculate the average value of the configuration capacity of all primary configuration records as the initial energy storage capacity configuration.

[0094] Step S307: Using the target energy storage type and the target energy storage technology route as search conditions, search the energy storage frequency regulation configuration feature knowledge base again for configuration records.

[0095] Step S308: If a matching primary configuration record is found, execute step S303; otherwise, execute step S309.

[0096] Step S309: Using the preset frequency modulation configuration scheme as the initial frequency modulation configuration scheme.

[0097] In the embodiment of the present application, the frequency regulation requirements of thermal power units are matched with a knowledge base of energy storage frequency regulation configuration features, and an initial frequency regulation configuration scheme is determined based on the matching records. This initial configuration scheme can be determined based on empirical data of frequency regulation configuration, effectively reducing the number of subsequent optimization iterations.

[0098] In one embodiment, an optimization algorithm is used to iteratively optimize the initial frequency regulation configuration scheme. During the iterative optimization process, each optimized frequency regulation configuration scheme is input into the energy storage frequency regulation configuration verification model to calculate the typical daily cost-benefit ratio until the optimized frequency regulation configuration scheme with the best typical daily cost-benefit ratio is obtained as the target frequency regulation configuration scheme, such as Figure 4 As shown, specifically including:

[0099] Step S401: Determine that the particle dimensions are energy storage power and energy storage time, the objective function is the cost-benefit ratio of the energy storage frequency modulation system, set the particle constraints, and initialize the particle swarm parameters.

[0100] Step S402: Initialize the particle swarm, randomly generate N particles, initialize the position of each particle, adjust the speed and adjust the direction.

[0101] Step S403: The particle swarm performs iterative optimization according to the corresponding adjustment speed and adjustment direction, calls the energy storage frequency modulation configuration scheme to calculate the typical daily cost-benefit ratio of each particle, and updates the global optimal position and the historical optimal position of each particle during the iterative optimization process.

[0102] Step S404: If the number of iterations reaches the upper limit or the change range between the global optimal position and the historical optimal position of each particle in the consecutive set iterations is less than the preset range, the optimized frequency modulation configuration scheme corresponding to the particle with the best typical daily cost-benefit ratio is output as the target frequency modulation configuration scheme.

[0103] The embodiment of the present application uses a particle swarm algorithm to iteratively optimize the initial frequency modulation configuration scheme. Specifically, the particle swarm parameters are first initialized. The particle dimensions are the energy storage power P and the energy storage time T. The objective function is the typical daily cost-benefit ratio f(P, T) of the energy storage frequency modulation system. The constraints are that the energy storage power P is between 2% and 5% of the thermal power unit capacity, and the energy storage time T is between 0.25h and 4h.

[0104] Then initialize the particle swarm, randomly generate N particles, and initialize the position of each particle to X i =(P i , T i ), speed V i =0, where P i =P initial +r i *P d , T i =Tinitial +r i *T d , P initial is the initial configuration power of energy storage frequency regulation, T initial is the initial configuration capacity of energy storage frequency regulation, r i is a random number between 0 and 1, P d is the energy storage power adjustment interval, take 1MW, T d The capacity adjustment interval is 0.25h.

[0105] According to the above rules, the particles are iteratively optimized. Each particle corresponds to an optimized frequency modulation configuration scheme. The energy storage frequency modulation configuration verification model is called to calculate the cost-benefit ratio of each particle. At the same time, the global optimal position and the historical optimal position of each particle are updated. The historical optimal position P of each particle is recorded. besti , update the global optimal position G best , then update the velocity and position of each particle, is a random number. The speed and position of each particle are updated according to the above rules. If the updated particle exceeds the constraint condition, the position of the particle is reset to the constraint boundary value.

[0106] Repeat the above process to optimize the particle swarm iteratively. When the number of iterations reaches the upper limit or the change range of the global optimal position and the historical optimal position of each particle in the continuously set iteration number is less than the preset range, the optimized frequency modulation configuration scheme corresponding to the particle with the best typical daily cost-benefit ratio is output as the target frequency modulation configuration scheme.

[0107] The embodiment of the present application uses a particle swarm optimization algorithm to iteratively optimize the initial frequency modulation configuration scheme, combines the energy storage frequency modulation configuration verification model to calculate the typical daily cost-benefit ratio of each optimized frequency modulation configuration scheme, and selects the optimized frequency modulation configuration scheme with the best typical daily cost-benefit ratio as the target frequency modulation configuration scheme, thereby obtaining the most economical frequency modulation configuration scheme.

[0108] In one embodiment, each optimized frequency regulation configuration scheme is input into the energy storage frequency regulation configuration verification model to calculate the typical daily cost-benefit ratio, such as Figure 5 As shown, specifically including:

[0109] Step S501: input the typical daily AGC instruction of the thermal power unit of the energy storage frequency regulation system to be configured into the AGC response model of the thermal power unit, and output the predicted output power of the thermal power unit.

[0110] Step S502: Input the typical day AGC instruction and the predicted output power into the frequency modulation control model to generate the current energy storage charge and discharge instruction.

[0111] Step S503: input the optimized frequency modulation configuration scheme and the current charge and discharge instruction into the energy storage system basic model, and output the current energy storage system model.

[0112] Step S504: input the current energy storage system model into the economic analysis model, and output the typical day cost benefit rate corresponding to the current optimized frequency modulation configuration scheme.

[0113] Specifically, the thermal power unit AGC response model is fitted based on the AGC instruction historical response data of the thermal power unit, the input of the model is the AGC instruction of the power grid, and the output is the predicted output power of the thermal power unit. The typical day AGC instruction of the thermal power unit of the energy storage frequency modulation system to be configured is input into the thermal power unit AGC response model, so that the predicted output power of the thermal power unit can be output.

[0114] The frequency modulation control model generates the corresponding energy storage charge and discharge instruction based on the AGC instruction and the unit output power, and the control strategy adopts the method of maximizing the compensation power gap, that is, P bat = AGC-P gen When P bat ≤ | AGC-P gen |, the energy storage system charges and discharges at the maximum power. The typical day AGC instruction and the predicted output power are input into the frequency modulation control model, so that the current energy storage charge and discharge instruction can be generated.

[0115] The energy storage system basic model is built according to the configuration scheme of the energy storage system, including the energy storage basic models of different energy storage technology routes, including lithium battery, flywheel, flow, super capacitor, etc., and the basic configuration of the model is 1MWx1h. The optimized frequency modulation configuration scheme and the current charge and discharge instruction are input into the energy storage system basic model, the power and time of the energy storage model are updated according to the energy storage power capacity configuration scheme, and the final energy storage system model is obtained.

[0116] The economic analysis model evaluates the cost benefit rate of the energy storage frequency modulation system of the thermal power unit on the typical day under the energy storage system configuration, that is, the ratio of the energy storage frequency modulation benefit to the energy storage frequency modulation consumption cost. The current energy storage system model is input into the economic analysis model, so that the typical day cost benefit rate corresponding to the current optimized frequency modulation configuration scheme can be output.

[0117] The technical scheme of the present application also provides a storage medium, which stores computer instructions, when the computer executes the computer instructions, for executing the energy storage frequency modulation automatic configuration method in any of the preceding embodiments.

[0118] Figure 6 An electronic device of the present application is shown, comprising:

[0119] at least one processor 601; and,

[0120] A memory 602 in communication with the at least one processor 601; wherein,

[0121] The memory 602 stores instructions that can be executed by the at least one processor 601. The instructions are executed by the at least one processor 601 to enable the at least one processor 601 to perform all steps of the energy storage frequency regulation automatic configuration method in any of the aforementioned method embodiments.

[0122] Figure 6 Take a processor 601 as an example:

[0123] The electronic device may further include: an input device 603 and an output device 604 .

[0124] The processor 601, the memory 602, the input device 603 and the output device 604 may be connected via a bus or other means, with the bus connection being used as an example in the figure.

[0125] The memory 602 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs, and modules, such as the program instructions / modules corresponding to the energy storage frequency modulation automatic configuration method in the embodiment of the present application, for example, Figure 1 、 Figures 3-5 The processor 601 executes various functional applications and data processing by running the non-volatile software programs, instructions and modules stored in the memory 602, that is, implementing the energy storage frequency modulation automatic configuration method in the above embodiment.

[0126] The memory 602 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the energy storage frequency automatic configuration method, etc. In addition, the memory 602 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 602 may optionally include a memory remotely located relative to the processor 601, and these remote memories may be connected to the device executing the energy storage frequency automatic configuration method via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0127] The input device 603 can receive user clicks and generate signal input related to user settings and function control of the energy storage frequency automatic configuration method. The output device 604 can include a display device such as a display screen.

[0128] The one or more modules are stored in the memory 602 and, when executed by the one or more processors 601 , execute the energy storage frequency regulation automatic configuration method in any of the above method embodiments.

[0129] The above description is merely the principle and preferred embodiments of the present application. It should be noted that, for those skilled in the art, implementation methods obtained by appropriately combining the technical solutions disclosed in different embodiments are also included in the technical scope of the present invention. Based on the principles of the present application, several other variations can be made and should also be considered as the scope of protection of the present application.

Claims

1. A method for automatic configuration of energy storage frequency modulation, characterized in that: include: Inputting the frequency regulation requirements of the thermal power units of the energy storage frequency regulation system to be configured into the energy storage frequency regulation configuration feature knowledge base for matching, thereby obtaining an initial frequency regulation configuration plan, wherein the initial frequency regulation configuration plan includes at least energy storage type, energy storage technology route, energy storage power, and energy storage capacity configuration; Establish an energy storage frequency regulation configuration verification model based on the energy storage system basic model, thermal power unit AGC response model, energy storage frequency regulation control model, and economic analysis model; The initial frequency regulation configuration scheme is iteratively optimized using an optimization algorithm. During the iterative optimization process, each optimized frequency regulation configuration scheme is input into the energy storage frequency regulation configuration verification model to calculate the typical daily cost-benefit ratio, until the optimized frequency regulation configuration scheme with the best typical daily cost-benefit ratio is used as the target frequency regulation configuration scheme.

2. The energy storage frequency modulation automatic configuration method according to claim 1, characterized in that: The energy storage frequency regulation configuration feature knowledge base includes multiple configuration records, each of which includes at least the regional power grid to which the frequency regulation project belongs, the capacity of the thermal power unit, the energy storage type, the energy storage technology route, the energy storage power and the energy storage capacity configuration.

3. The energy storage frequency modulation automatic configuration method according to claim 2, characterized in that: The frequency regulation requirements of the thermal power units include the target regional power grid, target thermal power unit capacity, target energy storage type and target energy storage technology route; The frequency regulation requirements of the thermal power units of the energy storage frequency regulation system to be configured are input into the energy storage frequency regulation configuration feature knowledge base for matching to obtain an initial frequency regulation configuration solution, specifically including: Perform a search in the energy storage frequency regulation configuration feature knowledge base using the target regional power grid, target energy storage type, and target energy storage technology route in the thermal power unit frequency regulation requirements as search conditions; If a matching primary configuration record is found, a secondary search is performed in the primary configuration record using the target thermal power unit capacity as a search condition; If a matching secondary configuration record is found, determining an initial frequency modulation configuration scheme according to the secondary configuration record; If no matching secondary configuration record is found, an initial frequency modulation configuration scheme is determined according to the primary configuration record.

4. The energy storage frequency modulation automatic configuration method according to claim 3, characterized in that: The determining of the initial frequency modulation configuration scheme according to the secondary configuration record specifically includes: Calculating an average value of the configured powers of all the secondary configuration records as the initial energy storage power configuration; The average value of the configuration capacities of all the secondary configuration records is calculated as the initial energy storage capacity configuration.

5. The energy storage frequency modulation automatic configuration method according to claim 3, characterized in that: The determining of the initial frequency modulation configuration scheme according to the primary configuration record specifically includes: Fitting the primary configuration record to determine a power configuration-thermal power unit capacity fitting relationship; The target thermal power unit capacity is input into the power configuration-thermal power unit capacity fitting relationship, and an initial energy storage power configuration is output; An average value of the configuration capacities of all the primary configuration records is calculated as the initial energy storage capacity configuration.

6. The energy storage frequency modulation automatic configuration method according to claim 3, characterized in that: The step of inputting the frequency regulation requirements of the thermal power units of the energy storage frequency regulation system to be configured into the energy storage frequency regulation configuration feature knowledge base for matching to obtain an initial frequency regulation configuration solution further includes: If no matching primary configuration record is found, a secondary search for a primary configuration record is performed in the energy storage frequency regulation configuration feature knowledge base using the target energy storage type and the target energy storage technology route as search conditions; If no matching primary configuration record is found, the preset frequency modulation configuration scheme is used as the initial frequency modulation configuration scheme.

7. The energy storage frequency modulation automatic configuration method according to any one of claims 1 to 6, characterized in that: The optimization algorithm is used to iteratively optimize the initial frequency regulation configuration scheme. During the iterative optimization process, each optimized frequency regulation configuration scheme is input into the energy storage frequency regulation configuration verification model to calculate the typical daily cost-benefit ratio, until the optimized frequency regulation configuration scheme with the best typical daily cost-benefit ratio is obtained as the target frequency regulation configuration scheme. Specifically, the optimization algorithm includes: Determine the particle dimensions as energy storage power and energy storage time, the objective function as the cost-benefit ratio of the energy storage frequency modulation system, set the particle constraints, and initialize the particle swarm parameters; Initialize the particle swarm, randomly generate N particles, initialize the position of each particle, adjust the speed and direction; The particle swarm performs iterative optimization based on the corresponding adjustment speed and adjustment direction, calls the energy storage frequency modulation configuration scheme to calculate the typical daily cost-benefit ratio of each particle, and updates the global optimal position and the historical optimal position of each particle during the iterative optimization process; If the number of iterations reaches the upper limit or the change in the global optimal position and the historical optimal position of each particle in the consecutive set iterations is less than the preset range, the optimized frequency modulation configuration scheme corresponding to the particle with the best typical daily cost-to-earning rate is output as the target frequency modulation configuration scheme.

8. The energy storage frequency modulation automatic configuration method according to any one of claims 1 to 6, characterized in that: Inputting each optimized frequency regulation configuration scheme into the energy storage frequency regulation configuration verification model to calculate a typical daily cost-benefit ratio specifically includes: Inputting the typical daily AGC command of the thermal power unit of the energy storage frequency regulation system to be configured into the thermal power unit AGC response model, and outputting the predicted output power of the thermal power unit; Inputting the typical day AGC instruction and the predicted output power into the energy storage frequency modulation control model to generate current energy storage charge and discharge instructions; Inputting the optimized frequency modulation configuration scheme and the current energy storage charge and discharge instructions into the energy storage system basic model, and outputting the current energy storage system model; The current energy storage system model is input into the economic analysis model, and the typical daily cost-benefit ratio corresponding to the current optimized frequency regulation configuration scheme is output.

9. A storage medium, characterized in that: The storage medium stores computer instructions, and when a computer executes the computer instructions, it is used to execute the energy storage frequency regulation automatic configuration method according to any one of claims 1 to 8.

10. An electronic device, characterized in that: comprising at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the energy storage frequency automatic configuration method according to any one of claims 1 to 8.

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