Control Method and System for Combined Fire and Energy Storage Frequency Regulation

Abstract

The present invention provides a control method and system for combined thermal energy and energy storage frequency regulation, belonging to the field of combined thermal energy and energy storage frequency regulation. The method includes: acquiring the operation process data of the unit, where the operation process data of the unit includes real-time operation data and the historical AGC data of the power plant; inputting the real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result; based on the unit state prediction result and the AGC frequency regulation instruction, performing digital twin virtual frequency regulation according to the real-time operation data to obtain a virtual simulation result; based on the virtual simulation result and the historical AGC data of the power plant, determining the unit AGC adjustment scheme and the energy storage device charging scheme; and generating a frequency regulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme. The purpose of AGC correction, short-term prediction, safety check, and energy storage detection for the AGC combined thermal energy and energy storage frequency regulation technology is achieved based on the digital twin technology.

Description

Technical Field

[0001] The present invention relates to the field of combined thermal energy and energy storage frequency regulation, and particularly to a control method for combined thermal energy and energy storage frequency regulation and a control system for combined thermal energy and energy storage frequency regulation. Background Art

[0002] The principle of combined thermal energy and energy storage frequency regulation is a new type of power regulation technology, which realizes the balance regulation of the power system through the combined regulation of the combustion control system of the thermal power plant and the energy storage system. The emergence of this technology provides a new solution for the stable operation of the power system.

[0003] In the traditional AGC combined thermal energy and energy storage frequency regulation technology, the energy storage system is independently paralleled and only serves as a supplement to the AGC action of the thermal power unit. Therefore, the control logic of the energy storage system is fragmented, resulting in slow frequency regulation response, large fatigue damage, and poor frequency regulation accuracy of the thermal power unit. Moreover, it causes frequent charge and discharge of the energy storage system, large losses, and dense high-order harmonics generated by the PCS. In addition, the traditional combined thermal energy and energy storage frequency regulation lacks warning information. Therefore, there is an urgent need to solve the problems such as strong intermittency of the power grid, large fluctuating power, and frequent frequency regulation requirements caused by the large-scale grid connection of current fluctuating energy sources (such as energy storage systems and thermal power units). Summary of the Invention

[0004] The purpose of the embodiment of the present invention is to provide a control method and system for combined thermal energy and energy storage frequency regulation, so as to at least solve the problems of strong intermittency of the power grid, large fluctuating power, and frequent frequency regulation requirements caused by the large-scale grid connection of the energy storage system and the thermal power unit.

[0005] To achieve the above purpose, the first aspect of the present invention provides a control method for combined thermal energy and energy storage frequency regulation, including:

[0006] Obtaining the operation process data of the unit, where the operation process data of the unit includes real-time operation data and the historical AGC data of the power plant;

[0007] Inputting the real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result;

[0008] Based on the unit state prediction result and the AGC frequency regulation instruction, performing digital twin virtual frequency regulation according to the real-time operation data to obtain a virtual simulation result; wherein, the AGC frequency regulation instruction is generated based on the current moment grid AGC planned data;

[0009] Based on the virtual simulation result and the historical AGC data of the power plant, determining the unit AGC adjustment plan and the energy storage device charging plan;

[0010] Generating a frequency regulation control instruction according to the unit AGC adjustment plan and the energy storage device charging plan.

[0011] Optionally, the above real-time operation data includes:

[0012] The grid AGC plan data, the real-time status data of thermal power units, and the real-time status data of energy storage devices at the current moment.

[0013] Optionally, the above control method for combined thermal and energy storage frequency regulation further includes:

[0014] Based on the historical AGC data of the power plant, the real-time status data of thermal power units, and the real-time status data of energy storage devices, establish an initial model for evaluating the operation status of the units using the LSTM algorithm;

[0015] Based on the historical AGC data of the power plant, determine the training sample set;

[0016] Based on the Adam algorithm, use the training sample set to train the established initial model for evaluating the operation status of the units to obtain a preset model for evaluating the operation status of the units.

[0017] Optionally, the above determining the training sample set based on the historical AGC data of the power plant includes:

[0018] Preprocess the historical AGC data of the power plant;

[0019] Perform correlation analysis on the preprocessed data to determine the training sample set.

[0020] Optionally, the above preprocessing the historical AGC data of the power plant includes:

[0021] Clean the historical AGC data of the power plant;

[0022] Correct the outliers in the data after data cleaning.

[0023] Optionally, the above performing correlation analysis on the preprocessed data includes:

[0024] Perform correlation analysis on the preprocessed data using the spearman correlation coefficient algorithm.

[0025] Optionally, the above control method for combined thermal and energy storage frequency regulation further includes:

[0026] Based on the unit status prediction result, send a pre-AGC command to the thermal power unit;

[0027] Based on the pre-AGC command, perform digital twin virtual operation on the real-time status data of the thermal power unit and the real-time status data of the energy storage device.

[0028] Optionally, the above virtual simulation results include frequency regulation results and SOC status data;

[0029] The above determining the unit AGC adjustment plan and the energy storage device charging plan based on the virtual simulation results and the historical AGC data of the power plant includes:

[0030] Based on the frequency modulation result, determine the AGC adjustment plan for the unit;

[0031] Based on the SOC status data and the historical AGC data of the power plant, determine the charging plan for the energy storage device.

[0032] Optionally, the above frequency modulation result at least includes the simulation operation parameters of multiple thermal power units and the simulation operation parameters of multiple energy storage devices;

[0033] The above-mentioned determination of the AGC adjustment plan for the unit based on the frequency modulation result includes:

[0034] Perform safety verification on the simulation operation parameters of multiple thermal power units and the simulation operation parameters of multiple energy storage devices to obtain a verification result; among them, the verification result includes the error value between each thermal power unit simulation operation parameter and the safe operation standard, and the error value between each energy storage device simulation operation parameter and the safe operation standard;

[0035] If the number of error values greater than the preset threshold is less than the first preset number, the AGC adjustment plan for the unit is the AGC optimization plan;

[0036] If the number of error values greater than the preset threshold is not less than the first preset number and not greater than the second preset number, the AGC adjustment plan for the unit is to stop the AGC frequency modulation plan;

[0037] If the number of error values greater than the preset threshold is greater than the second preset number, the AGC adjustment plan for the unit is to reset the AGC of the unit.

[0038] Optionally, the above frequency modulation result further includes frequency modulation accuracy, frequency modulation margin, and frequency modulation cost;

[0039] The above AGC optimization plan is as follows:

[0040] According to the frequency modulation accuracy, frequency modulation margin, and frequency modulation cost, use the AGC optimization algorithm to optimize the current grid AGC planned data to obtain an AGC optimization signal.

[0041] Optionally, the above control method for combined thermal and energy storage frequency modulation further includes:

[0042] According to the real-time operation data, send an avoidance instruction to the energy storage device.

[0043] Optionally, the above control method for combined thermal and energy storage frequency modulation further includes:

[0044] According to the frequency modulation control instruction, perform real-time regulation on the thermal power unit and the energy storage device to obtain a real-time regulation result;

[0045] Send the real-time regulation result to the measurement and control terminal.

[0046] The second aspect of the present invention provides a control system for combined thermal energy and energy storage frequency regulation, including:

[0047] A unit operation process data acquisition module for acquiring unit operation process data, where the unit operation process data includes real-time operation data and power plant AGC historical data;

[0048] A unit state prediction module for inputting the real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result;

[0049] A virtual frequency regulation module for performing digital twin virtual frequency regulation based on the unit state prediction result and the AGC frequency regulation instruction according to the real-time operation data to obtain a virtual simulation result; wherein, the AGC frequency regulation instruction is generated based on the current moment power grid AGC planned data;

[0050] A scheme determination module for determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data;

[0051] A frequency regulation control instruction generation module for generating a frequency regulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme.

[0052] The third aspect of the present invention provides a machine-readable storage medium, on which instructions are stored, and when the instructions are executed by a processor, the processor is configured to execute the above-mentioned control method for combined thermal energy and energy storage frequency regulation.

[0053] The fourth aspect of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned control method for combined thermal energy and energy storage frequency regulation is implemented.

[0054] Through the above technical solution, a control method and system for combined thermal energy and energy storage frequency modulation are provided. By presetting a unit operation state evaluation model, short-term prediction analysis is performed on the acquired real-time operation data to identify the current state of the unit and the subsequent trend of the unit, and a unit state prediction result is obtained. Based on the unit state prediction result, the corresponding digital twin of the unit is triggered to perform digital twin virtual operation. Based on the AGC frequency modulation instruction, the corresponding digital twin of the unit performs simultaneous virtual frequency modulation according to the real-time state data of the thermal power unit and the real-time state data of the energy storage device, and a virtual simulation result is obtained. According to the historical AGC data of the power plant, the virtual simulation result is safety verified to determine the AGC adjustment plan of the unit and the charging plan of the energy storage device, where the AGC adjustment plan represents the plan for correcting the AGC, and the charging plan of the energy storage device represents the real-time charge and discharge plan of the energy storage device. Therefore, a frequency modulation control instruction is generated according to the AGC adjustment plan of the unit and the charging plan of the energy storage device, and the thermal power unit and the energy storage device are regulated simultaneously. The purpose of AGC correction, short-term prediction, safety verification, and energy storage detection of the AGC combined thermal energy and energy storage frequency modulation technology is achieved based on the digital twin technology, and further solves the problems of strong intermittency, large fluctuating power, and frequent frequency modulation requirements of the power grid caused by the large-scale grid connection of current fluctuating energy sources.

[0055] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The drawings are used to provide a further understanding of the embodiments of the present invention, and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation to the embodiments of the present invention. In the drawings:

[0057] Figure 1 is a flowchart of a control method for combined thermal energy and energy storage frequency modulation provided by an embodiment of the present invention;

[0058] Figure 2 is a block diagram of a control system for combined thermal energy and energy storage frequency modulation provided by an embodiment of the present invention;

[0059] Figure 3 is a schematic structural diagram of an electronic device provided by a preferred embodiment of the present invention.

[0060] DESCRIPTION OF THE REFERENCE NUMERALS

[0061] 10 - Electronic device, 100 - Processor, 101 - Memory, 102 - Computer program. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0062] The following will describe in detail the specific embodiments of the present invention with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for explaining and understanding the present invention, and are not used to limit the present invention.

[0063] Figure 1 It is a flowchart of a control method for combined thermal energy and energy storage frequency regulation provided by an embodiment of the present invention. As Figure 1 shown, an embodiment of the present invention provides a control method for combined thermal energy and energy storage frequency regulation, including:

[0064] S110: Obtain the operation process data of the unit, where the operation process data of the unit includes real-time operation data and the AGC historical data of the power plant;

[0065] Among them, the above real-time operation data includes: the AGC plan data of the power grid at the current moment, the real-time status data of the thermal power unit, and the real-time status data of the energy storage device.

[0066] Specifically, collect the operation process data of the unit, that is, various data generated during the operation process of the unit (including the AGC plan data of the power grid at the current moment, the real-time status data of the thermal power unit, the real-time status data of the energy storage device, and the AGC historical data of the power plant).

[0067] S120: Input the real-time operation data into the preset unit operation status evaluation model to obtain the unit status prediction result;

[0068] Specifically, analyze the real-time operation data (the AGC plan data of the power grid at the current moment, the real-time status data of the thermal power unit, and the real-time status data of the energy storage device) through the preset unit operation status evaluation model, and perform unit status prediction based on the preset unit operation status evaluation model, so as to identify the current status of the unit and the subsequent trend of the unit, and obtain the unit status prediction result.

[0069] S130: Based on the unit status prediction result and the AGC frequency regulation instruction, perform digital twin virtual frequency regulation according to the real-time operation data to obtain the virtual simulation result; among them, the AGC frequency regulation instruction is generated based on the AGC plan data of the power grid at the current moment;

[0070] In some embodiments of this embodiment, the control method for combined thermal energy and energy storage frequency regulation further includes: issuing a pre-AGC instruction to the thermal power unit based on the unit status prediction result; based on the pre-AGC instruction, perform digital twin virtual operation on the real-time status data of the thermal power unit and the real-time status data of the energy storage device.

[0071] Specifically, input the unit status prediction result into the corresponding frequency modulation control system of the unit. Combine the real-time status data of the thermal power unit and the real-time status data of the energy storage device fed back, and issue a pre-AGC command to the thermal power unit. This pre-AGC command acts prior to the AGC frequency modulation command. Then, based on the pre-AGC command, trigger the digital twin of the corresponding unit to perform digital twin virtual operation. Then, based on the AGC frequency modulation command, the digital twin of the corresponding unit performs virtual frequency modulation in the same time period according to the real-time status data of the thermal power unit and the real-time status data of the energy storage device, and obtains a virtual simulation result. This virtual simulation result can characterize the result brought by the subsequent frequency modulation of the unit based on the real-time status data of the thermal power unit and the real-time status data of the energy storage device.

[0072] S140: Determine the AGC adjustment plan for the unit and the charging plan for the energy storage device based on the virtual simulation result and the AGC historical data of the power plant;

[0073] In some embodiments of this embodiment, the above virtual simulation result includes a frequency modulation result and SOC status data; the above determining the AGC adjustment plan for the unit and the charging plan for the energy storage device based on the virtual simulation result and the AGC historical data of the power plant includes: determining the AGC adjustment plan for the unit based on the frequency modulation result; determining the charging plan for the energy storage device based on the SOC status data and the AGC historical data of the power plant.

[0074] Specifically, determine the AGC adjustment plan for the unit according to the frequency modulation result. Perform a twin display of the SOC status according to the SOC status data, and combine the AGC historical data of the power plant to propose a real-time charge and discharge plan for the energy storage device, and transfer it to the frequency modulation control system for action.

[0075] In some embodiments of this embodiment, the above frequency modulation result at least includes multiple simulation operation parameters of thermal power units and multiple simulation operation parameters of energy storage devices; the above determining the AGC adjustment plan for the unit based on the frequency modulation result includes: performing a safety verification on the multiple simulation operation parameters of thermal power units and the multiple simulation operation parameters of energy storage devices to obtain a verification result; wherein, the verification result includes the error value between each simulation operation parameter of the thermal power unit and the safe operation standard, and the error value between each simulation operation parameter of the energy storage device and the safe operation standard; if the number of error values greater than the preset threshold is less than the first preset number, the AGC adjustment plan for the unit is the AGC optimization plan; if the number of error values greater than the preset threshold is not less than the first preset number and not greater than the second preset number, the AGC adjustment plan for the unit is to stop the AGC frequency modulation plan; if the number of error values greater than the preset threshold is greater than the second preset number, the AGC adjustment plan for the unit is to reset the AGC plan of the unit.

[0076] Specifically, perform safety verification on multiple simulated operation parameters of thermal power units and multiple simulated operation parameters of energy storage devices in the virtual simulation results. If the verification error is small (i.e., the number of error values between the simulated operation parameters and the safety operation standards is less than the first preset number), then use the AGC optimization scheme to optimize the AGC signal until it meets the safety operation standards. If the number of error values greater than the preset threshold is not less than the first preset number and not greater than the second preset number, then stop the expected AGC action and AGC optimization action according to the stop AGC frequency modulation scheme. If the number of error values greater than the preset threshold is greater than the second preset number, it does not meet the safety operation requirements, and the entire unit AGC needs to be reset and adjusted.

[0077] In some implementation manners of this embodiment, the above frequency modulation results further include frequency modulation accuracy, frequency modulation margin, and frequency modulation cost; the above AGC optimization scheme is as follows: According to the frequency modulation accuracy, frequency modulation margin, and frequency modulation cost, use the AGC optimization algorithm to optimize the current-time grid AGC planned data to obtain an AGC optimization signal.

[0078] Specifically, during the simultaneous virtual frequency modulation process using the digital twin corresponding to the unit, perform real-time analysis on the frequency modulation accuracy, frequency modulation margin, and frequency modulation cost, so as to propose an AGC optimization signal to the frequency modulation control system corresponding to the unit and issue a corresponding AGC optimization instruction. Thus, by optimizing the AGC signal, the load response of the unit is accelerated, and at the same time, large fluctuations in parameters caused by overshoot are avoided.

[0079] In some implementation manners of this embodiment, the method further includes: diagnosing the state of the unit and providing corresponding fault analysis and handling suggestions according to the abnormal situation.

[0080] S150: Generate a frequency modulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme.

[0081] Specifically, simultaneously regulate the thermal power unit and the energy storage device through the frequency modulation control instruction generated according to the unit AGC adjustment scheme and the energy storage device charging scheme.

[0082] In the above implementation process, the method first performs short-term prediction analysis on the acquired real-time operation data through a pre-set unit operation state evaluation model to identify the current state of the unit and the subsequent trend of the unit, and obtains the unit state prediction result. Then, based on the unit state prediction result, the corresponding digital twin of the unit is triggered to perform digital twin virtual operation. Based on the AGC frequency modulation command, the corresponding digital twin of the unit performs virtual frequency modulation in the same period according to the real-time state data of the thermal power unit and the real-time state data of the energy storage device, and obtains the virtual simulation result. According to the AGC historical data of the power plant, the virtual simulation result is safety verified to determine the AGC adjustment plan of the unit and the charging plan of the energy storage device, where the AGC adjustment plan represents the plan for correcting the AGC, and the charging plan of the energy storage device represents the real-time charge and discharge plan of the energy storage device. Therefore, the frequency modulation control command is generated according to the AGC adjustment plan of the unit and the charging plan of the energy storage device, and the thermal power unit and the energy storage device are regulated simultaneously. The purpose of AGC correction, short-term prediction, safety verification, and energy storage detection of the AGC thermal power and energy storage combined frequency modulation technology is achieved based on the digital twin technology, and further solves the problems of strong intermittency of the power grid, large fluctuating power, and frequent frequency modulation requirements caused by the large-scale grid connection of current fluctuating energy sources.

[0083] In some implementation manners of this embodiment, the above control method for thermal power and energy storage combined frequency modulation further includes:

[0084] Based on the AGC historical data of the power plant, the real-time state data of the thermal power unit, and the real-time state data of the energy storage device, an initial model for evaluating the unit operation state is established using the LSTM algorithm;

[0085] Among them, the establishment of the initial model for evaluating the unit operation state can be supported by three-dimensional visualization technology and developed and run using a 3D simulation model.

[0086] Based on the AGC historical data of the power plant, a training sample set is determined;

[0087] Based on the Adam algorithm, the initial model for evaluating the unit operation state established is trained using the training sample set to obtain a pre-set unit operation state evaluation model.

[0088] Specifically, the training sample set is input into the initial model for evaluating the unit operation state, and the weights of the initial model for evaluating the unit operation state are trained using the Adam algorithm to obtain a pre-set unit operation state evaluation model. Among them, the initial model for evaluating the unit operation state is an LSTM model, and the LSTM model is trained using the Adam method, which is an extension of the SDG algorithm, and adaptively adjusts the learning rate of the network parameters during the training process to accelerate data convergence.

[0089] In some implementation manners of this embodiment, the above determining a training sample set based on the AGC historical data of the power plant includes:

[0090] Preprocess the historical data of the power plant's AGC.

[0091] Among them, the preprocessing of the historical data of the power plant's AGC includes: cleaning the historical data of the power plant's AGC; correcting outliers in the data after data cleaning.

[0092] Specifically, clean the historical data of the power plant's AGC for the next step of processing. Use similar AGC data in the same historical period to screen out abnormal data related to sensor failures, mechanical failures, data transmission errors, etc. from the data after data cleaning for correction, and delete the data with large deviations in the data after data cleaning.

[0093] Perform correlation analysis on the preprocessed data to determine the training sample set.

[0094] In some embodiments of this embodiment, the above-mentioned correlation analysis of the preprocessed data includes:

[0095] Perform correlation analysis on the preprocessed data using the spearman correlation coefficient algorithm.

[0096] Specifically, use the spearman correlation coefficient algorithm to perform correlation analysis on the preprocessed data to determine variables and time steps, thereby determining the training sample set. Among them, the spearman correlation coefficient algorithm is selected to analyze the correlation between the main change parameters of each device of the unit in the historical data of the AGC of the thermal power plant and the historical AGC plan of the power grid to determine the input variables for the initial model of the unit operation state evaluation.

[0097] In some embodiments of this embodiment, the above-mentioned control method for combined thermal energy storage frequency modulation further includes: issuing an avoidance instruction to the energy storage device according to the real-time operation data. Specifically, according to the avoidance instruction, control the energy storage device to cooperate with the real-time action of the thermal power unit for avoidance, and ensure that the thermal power unit undertakes the basic frequency modulation for a long period with a slower ramp rate.

[0098] In some embodiments of this embodiment, the above-mentioned control method for combined thermal energy storage frequency modulation further includes: performing real-time regulation on the thermal power unit and the energy storage device according to the frequency modulation control instruction to obtain a real-time regulation result; sending the real-time regulation result to the measurement and control terminal.

[0099] In some embodiments of this embodiment, based on the machine learning algorithm, extract the most valuable features, such as the failure frequency of the unit, average working time, energy consumption rate, production capacity utilization rate, identify the key frequency modulation coefficients of the thermal power unit and the energy storage device, and track and feedback in real time in the digital twin model, where the main identification parameters are: the unit feedback time t s1 , t s2 ; the steam volume time constant TCG , T CZ , T CD ; Volume time constant T RH , T CH ; Governing system regulation rate R; Cylinder power F GP , F ZP , F DP ; Climbing ability K1, K2; Energy storage charge and discharge efficiency η b1 , η b2 ; Energy storage rated capacity E M ; Maximum and minimum limits of available energy storage capacity E MAX , E MIN ; Maximum and minimum limits of energy storage frequency regulation output P V ; Maximum and minimum limits of energy storage climbing rate H I ; Delay characteristic time constant T S ; Droop coefficient U; Real-time power weight coefficient θ of energy storage R ; Remaining energy storage capacity weight coefficient γ E .

[0100] Figure 2 is a block diagram of a control system for combined thermal and energy storage frequency regulation provided by an embodiment of the present invention. As Figure 2 shown, an embodiment of the present invention provides a control system for combined thermal and energy storage frequency regulation, including:

[0101] Unit operation process data acquisition module, configured to acquire unit operation process data, where the unit operation process data includes real-time operation data and power plant AGC historical data;

[0102] Unit status prediction module, configured to input the real-time operation data into a preset unit operation status evaluation model to obtain a unit status prediction result;

[0103] Virtual frequency regulation module, configured to perform digital twin virtual frequency regulation based on the unit status prediction result and the AGC frequency regulation instruction according to the real-time operation data to obtain a virtual simulation result; wherein, the AGC frequency regulation instruction is generated based on the current grid AGC plan data;

[0104] Scheme determination module, configured to determine a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data;

[0105] Frequency regulation control instruction generation module, configured to generate a frequency regulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme.

[0106] In the above implementation process, the system first performs short-term prediction analysis on the acquired real-time operation data through a pre-set unit operation status evaluation model to identify the current status of the unit and the subsequent trends of the unit, and obtains the unit status prediction result. Then, based on the unit status prediction result, the corresponding digital twin of the unit is triggered to perform digital twin virtual operation. Based on the AGC frequency modulation command, the corresponding digital twin of the unit performs simultaneous virtual frequency modulation according to the real-time status data of the thermal power unit and the real-time status data of the energy storage device, and obtains the virtual simulation result. According to the AGC historical data of the power plant, the virtual simulation result is safety verified to determine the AGC adjustment plan for the unit and the charging plan for the energy storage device, where the AGC adjustment plan represents the plan for correcting the AGC, and the charging plan for the energy storage device represents the real-time charging and discharging plan for the energy storage device. Thus, a frequency modulation control command is generated according to the AGC adjustment plan for the unit and the charging plan for the energy storage device, and the thermal power unit and the energy storage device are regulated simultaneously. The purpose of performing AGC correction, short-term prediction, safety verification, and energy storage detection on the AGC thermal storage combined frequency modulation technology based on the digital twin technology is achieved, and further, the problems of strong intermittency, large fluctuating power, and frequent frequency modulation requirements of the power grid caused by the large-scale grid connection of current fluctuating energy sources are solved.

[0107] An embodiment of the present invention further provides a machine-readable storage medium, on which instructions are stored, and when the instructions are executed by the processor 100, the processor 100 is configured to execute the above-mentioned control method for thermal storage combined frequency modulation.

[0108] The machine-readable storage medium includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0109] An embodiment of the present invention further provides an electronic device 10, which includes a memory 101, a processor 100, and a computer program 102 stored in the memory 101 and executable on the processor 100. When the processor 100 executes the computer program 102, the control method for combined thermal energy and energy storage frequency regulation as described above is implemented.

[0110] As Figure 3 shown is a schematic diagram of an electronic device provided by an embodiment of the present invention. As Figure 3 shown, the electronic device 10 of this embodiment includes: a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and executable on the processor 100. When the processor 100 executes the computer program 102, the steps in the above method embodiment are implemented. Alternatively, when the processor 100 executes the computer program 102, the functions of each module / unit in the above device embodiment are implemented.

[0111] Exemplarily, the computer program 102 can be divided into one or more modules / units. One or more modules / units are stored in the memory 101 and executed by the processor 100 to complete the present invention. One or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 102 in the electronic device 10. For example, the computer program 102 can be divided into a module for acquiring unit operation process data, a module for predicting unit status, a virtual frequency regulation module, a scheme determination module, and a module for generating frequency regulation control instructions.

[0112] The electronic device 10 can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The electronic device 10 may include, but is not limited to, a processor 100 and a memory 101. Those skilled in the art can understand that Figure 3 merely examples of the electronic device 10 do not constitute a limitation to the electronic device 10. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, the electronic device may further include input / output devices, network access devices, a bus, etc.

[0113] The processor 100 can be a Central Processing Unit (CPU), or can also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0114] The memory 101 can be an internal storage unit of the electronic device 10, such as the hard disk or memory of the electronic device 10. The memory 101 can also be an external storage device of the electronic device 10, such as a plug-in hard disk equipped on the electronic device 10, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 101 can also include both the internal storage unit and the external storage device of the electronic device 10. The memory 101 is used to store computer programs and other programs and data required by the electronic device 10. The memory 101 can also be used to temporarily store data that has been output or will be output.

[0115] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiment and will not be repeated here.

[0116] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program 102 product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program 102 product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0117] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program 102 products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program 102 instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented by computer program 102 instructions. These computer program 102 instructions can be provided to the processor 100 of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor 100 of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or multiple flows and / or blocks

[0118] These computer program 102 instructions can also be stored in a computer-readable memory 101 that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory 101 generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or multiple flows and / or blocks

[0119] These computer program 102 instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or multiple flows and / or blocks

[0120] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, commodity or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising one..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising the element.

[0121] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A control method for combined fire and energy storage frequency regulation, characterized in that Including: Obtain the data during the operation of the unit, where the data during the operation of the unit includes real-time operation data and the historical AGC data of the power plant; Input the real-time operation data into a preset unit operation status evaluation model to obtain a unit status prediction result; Based on the unit status prediction result and the AGC frequency modulation command, perform digital twin virtual frequency modulation according to the real-time operation data to obtain a virtual simulation result; wherein, the AGC frequency modulation command is generated based on the current moment's grid AGC planned data; Based on the virtual simulation result and the historical AGC data of the power plant, determine the unit AGC adjustment plan and the energy storage device charging plan; Generate a frequency modulation control command according to the unit AGC adjustment plan and the energy storage device charging plan; The virtual simulation result includes a frequency modulation result and SOC status data; The determining the unit AGC adjustment plan and the energy storage device charging plan based on the virtual simulation result and the historical AGC data of the power plant includes: Determine the unit AGC adjustment plan based on the frequency modulation result; Determine the energy storage device charging plan based on the SOC status data and the historical AGC data of the power plant; The frequency modulation result at least includes a plurality of thermal power unit simulation operation parameters and a plurality of energy storage device simulation operation parameters; The determining the unit AGC adjustment plan based on the frequency modulation result includes: Perform safety verification on the plurality of thermal power unit simulation operation parameters and the plurality of energy storage device simulation operation parameters to obtain a verification result; wherein, the verification result includes the error value between each thermal power unit simulation operation parameter and the safe operation standard, and the error value between each energy storage device simulation operation parameter and the safe operation standard; If the number of error values greater than the preset threshold is less than the first preset number, the unit AGC adjustment plan is the AGC optimization plan; If the number of error values greater than the preset threshold is not less than the first preset number and not greater than the second preset number, the unit AGC adjustment plan is to stop the AGC frequency modulation plan; If the number of error values greater than the preset threshold is greater than the second preset number, the unit AGC adjustment plan is to reset the unit AGC plan.

2. The control method for combined thermal energy and energy storage frequency regulation according to claim 1, wherein The real-time operation data includes: The current moment's grid AGC planned data, the real-time status data of the thermal power unit, and the real-time status data of the energy storage device.

3. The control method for combined thermal energy and energy storage frequency regulation according to claim 2, wherein It also includes: Based on the historical AGC data of the power plant, the real-time status data of the thermal power unit, and the real-time status data of the energy storage device, establish an initial unit operation status evaluation model using the LSTM algorithm; Determine a training sample set based on the historical AGC data of the power plant; Based on the Adam algorithm, use the training sample set to train the established initial unit operation status evaluation model to obtain a preset unit operation status evaluation model.

4. The control method for combined fire and energy storage frequency regulation according to claim 3, wherein The determining the training sample set based on the historical AGC data of the power plant includes: Perform preprocessing on the historical AGC data of the power plant; Perform correlation analysis on the preprocessed data to determine the training sample set.

5. The control method for combined thermal energy and energy storage frequency regulation according to claim 4, wherein The performing preprocessing on the historical AGC data of the power plant includes: Perform data cleaning on the historical AGC data of the power plant; Perform outlier correction on the data after data cleaning.

6. The control method for combined fire and energy storage frequency regulation according to claim 4, characterized in that, The correlation analysis of the preprocessed data includes: Perform correlation analysis on the preprocessed data using the spearman correlation coefficient algorithm.

7. The control method of combined thermal energy and energy storage frequency regulation according to claim 2, characterized in that, It also includes: Based on the unit status prediction result, send a pre-AGC instruction to the thermal power unit; Based on the pre-AGC instruction, perform digital twin virtual operation on the real-time status data of the thermal power unit and the real-time status data of the energy storage device.

8. The control method for combined thermal energy and energy storage frequency regulation according to claim 1, characterized in that The frequency modulation result also includes frequency modulation accuracy, frequency modulation margin, and frequency modulation cost; The AGC optimization scheme is as follows: According to the frequency modulation accuracy, the frequency modulation margin, and the frequency modulation cost, use the AGC optimization algorithm to optimize the current moment grid AGC plan data to obtain an AGC optimization signal.

9. The control method for combined thermal energy and energy storage frequency regulation according to claim 1, wherein It also includes: According to the real-time operation data, send an avoidance instruction to the energy storage device.

10. The control method for combined thermal energy and energy storage frequency regulation according to claim 1, wherein It also includes: According to the frequency modulation control instruction, perform real-time regulation on the thermal power unit and the energy storage device to obtain a real-time regulation result; Send the real-time regulation result to the measurement and control terminal.

11. A control system for combined fire and energy storage frequency regulation, characterized in that, It includes: A unit operation process data acquisition module, which is used to acquire unit operation process data, and the unit operation process data includes real-time operation data and power plant AGC historical data; A unit status prediction module, which is used to input the real-time operation data into a preset unit operation status evaluation model to obtain a unit status prediction result; A virtual frequency modulation module, which is used to perform digital twin virtual frequency modulation on the real-time operation data based on the unit status prediction result and the AGC frequency modulation instruction to obtain a virtual simulation result; among them, the AGC frequency modulation instruction is generated based on the current moment grid AGC plan data; A scheme determination module, which is used to determine the unit AGC adjustment scheme and the energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data; A frequency modulation control instruction generation module, which is used to generate a frequency modulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme; The virtual simulation result includes a frequency modulation result and SOC status data; Based on the virtual simulation result and the power plant AGC historical data, determining the unit AGC adjustment scheme and the energy storage device charging scheme includes: Based on the frequency modulation result, determine the unit AGC adjustment scheme; Based on the SOC status data and the power plant AGC historical data, determine the energy storage device charging scheme; The frequency modulation result at least includes multiple thermal power unit simulation operation parameters and multiple energy storage device simulation operation parameters; Based on the frequency modulation result, determining the unit AGC adjustment scheme includes: Perform safety verification on the multiple thermal power unit simulation operation parameters and the multiple energy storage device simulation operation parameters to obtain a verification result; among them, the verification result includes the error value between each thermal power unit simulation operation parameter and the safe operation standard, and the error value between each energy storage device simulation operation parameter and the safe operation standard; If the number of error values greater than the preset threshold is less than the first preset number, the unit AGC adjustment scheme is the AGC optimization scheme; If the number of error values greater than the preset threshold is not less than the first preset number and not greater than the second preset number, the AGC adjustment plan for the unit is to stop the AGC frequency modulation plan; If the number of error values greater than the preset threshold is greater than the second preset number, the AGC adjustment plan for the unit is to reset the unit AGC plan.

12. A machine-readable storage medium having instructions stored thereon, characterized in that, When executed by a processor, the instruction causes the processor to be configured to execute the control method for combined thermal energy and energy storage frequency modulation according to any one of claims 1 to 10.

13. An electronic device, the electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the control method for combined thermal energy and energy storage frequency modulation according to any one of claims 1 to 10.

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