Thermal power generating unit primary frequency modulation cooperative control method and system fusing multi-type energy storage

Abstract

The invention provides a thermal power generating unit primary frequency modulation cooperative control method and system fusing multi-type energy storage. The method comprises the following steps: firstly, dividing the charge state quantity of each part of an energy storage system consisting of an aqueous organic flow battery and a lithium battery energy storage system; then determining charge state quantity constraints and charge-discharge power constraints of the two energy storage systems; finally, when power grid frequency fluctuation exceeds a dead zone due to power grid load disturbance, a power instruction is obtained through power requirements and charging and discharging power constraints; when the power grid frequency is located in the power grid frequency dead zone, obtaining a power instruction through output limitation and charging and discharging power constraint; and when the SOC exceeds the upper limit and the lower limit and the unit does not have a primary frequency modulation action instruction, calculating to obtain a power instruction. The method can fully consider the safety constraints of the aqueous organic flow battery and the lithium battery energy storage system, and can effectively improve the quality of the thermal power generating unit participating in the primary frequency modulation.

Description

Technical Field

[0001] This invention relates to the field of frequency regulation control for energy storage-assisted power grids, and in particular to a method and system for coordinated primary frequency regulation control of thermal power units that integrates multiple types of energy storage. Background Technology

[0002] With the gradual advancement of the construction of new power systems, new energy sources such as wind power and photovoltaics are being integrated into the grid on a large scale. Fluctuations in the output of wind and photovoltaic power lead to a significant increase in the frequency of imbalances between grid power generation and load, resulting in frequent frequency deviation events. Thermal power units, which are the main force in power system frequency regulation, are limited by problems such as slow response speed, limited regulation accuracy, and limited regulation range. Energy storage systems assisting thermal power units in primary frequency regulation have received increasing attention. As a flexible regulation resource that can quickly absorb or release electrical energy, energy storage systems have outstanding advantages such as fast response speed, high regulation accuracy, and bidirectional controllable charging and discharging, providing a new technical path for solving the grid frequency regulation problem.

[0003] In recent years, various energy storage technologies, such as lithium battery energy storage, flow battery energy storage, compressed air energy storage, and flywheel energy storage, have developed rapidly. Different types of energy storage systems have their own advantages in terms of response speed, capacity, cycle life, and cost. However, single-type energy storage systems have their own limitations. Using a combination of multiple types of energy storage systems to assist thermal power units in primary frequency regulation can retain the advantages of each type of energy storage system. The following research results study the relevant technologies for energy storage systems to participate in the primary frequency regulation of thermal power units: Publication date: February 25, 2025, Publication number: CN119518853A, Title: Chinese Invention Patent Application for an Energy Storage Control Method for Optimizing Frequency Regulation Performance of Thermal Power Units; Publication date: January 13, 2025, Publication number: CN119853105A, Title: A control system and method for thermal power units and flywheel energy storage to participate in grid frequency regulation in coordination, and a grid frequency regulation method Chinese invention patent application; Hong Feng, Du Hao, Liang Lu, et al. AGC control strategy and application of flywheel / lithium battery hybrid energy storage for thermal power plants based on modal matching [J / OL]. Proceedings of the CSEE, 1-12 [2025-12-17]. https: / / doi.org / 10.13334 / j.0258-8013.pcsee.242660; Liu Xin, Li Xinran, Tan Zhuangxi, et al. Economic comparison of optimal strategies for different types of energy storage batteries participating in primary frequency regulation [J]. High Voltage Engineering, 2022, 48(04):1403-1410. DOI:10.13336 / j.1003-6520.hve.20201398; Liang Zhihong, Liu Jizhen, Hong Feng, et al. Research and engineering application of frequency regulation technology of electric high-power flywheel energy storage system coupled with thermal power unit [J]. Proceedings of the CSEE, 2024, 44(21):8518-8531. DOI:10.13334 / j.0258-8013.pcsee.231472; However, the above findings lack relevant research on energy storage systems composed of aqueous organic flow batteries and lithium battery energy storage systems to support the participation of thermal power units in primary frequency regulation.

[0004] Aqueous organic flow batteries offer advantages such as high safety (the electrolyte is an aqueous solution, eliminating the risk of combustion and explosion, unlike lithium batteries which can cause fires and explosions due to thermal runaway; the organic active materials are typically low in toxicity and environmentally friendly, and the electrolyte is not easily volatile, minimizing the harm caused by leakage), long cycle life (over 10,000 cycles, with some laboratory materials even exceeding 20,000 cycles, and slow degradation), and fast response speed (around 10ms). They are increasingly being used to support primary frequency regulation in thermal power units. Lithium batteries offer advantages such as high energy and power density and high charge / discharge efficiency, but their response speed is relatively slow. A combined energy storage system with these two components boasts advantages such as long cycle life, fast response speed, high energy and power density, and high charge / discharge efficiency, making it significantly advantageous for supporting primary frequency regulation in thermal power units. Therefore, collaborative control technology for a combined energy storage system with these two components in primary frequency regulation is urgently needed. Summary of the Invention

[0005] The purpose of this invention is to address the difficulties and safety challenges in the coordinated operation of thermal power units participating in primary frequency regulation, where energy storage systems composed of aqueous organic flow battery energy storage systems and lithium battery energy storage systems are used to support the system. This invention proposes a method and system for coordinated control of primary frequency regulation of thermal power units that integrates multiple types of energy storage. The method first delineates the state of charge (SOC) of each component of the energy storage system (composed of aqueous organic flow battery and lithium battery energy storage systems); then, it determines the SOC constraints and charge / discharge power constraints of the two energy storage systems; finally, when grid load disturbances cause grid frequency fluctuations to exceed the dead zone, a power command is obtained through power demand and charge / discharge power constraints; when the grid frequency is within the grid frequency dead zone, a power command is obtained through output limits and charge / discharge power constraints; and when the SOC exceeds the upper and lower limits and the unit does not issue a primary frequency regulation action command, a power command is calculated. This method fully considers the safety constraints of aqueous organic flow battery and lithium battery energy storage systems and effectively improves the quality of thermal power units participating in primary frequency regulation.

[0006] In view of the above problems, firstly, this application provides a method for primary frequency regulation and coordinated control of thermal power units integrating multiple types of energy storage, comprising the following steps: Step 1: Determine the charge state variables of each component of the energy storage system; Energy storage systems include aqueous organic flow battery energy storage systems and lithium battery energy storage systems; The state of charge (SOC) of an aqueous organic flow battery energy storage system is defined as the minimum state of charge (SOC) of the aqueous organic flow battery energy storage system. yj min Low State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj low High State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj high Maximum State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj max Among them, SOC yj min <SOC yj low <SOC yj high <SOC yj max ; The state of charge (SOC) of a lithium-ion battery energy storage system is defined as the minimum state of charge (SOC) of the lithium-ion battery energy storage system. l min Low State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l low High State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l high and the maximum state of charge (SOC) of lithium battery energy storage systems l max Among them, SOC l min <SOC l low <SOC l high <SOC l max ; Step 2, set constraints; The charge state constraints for the aqueous organic flow battery energy storage system are set as follows: SOC yj min ≤ SOC yj ≤ SOC yj max SOC yj This represents the current state of charge of the aqueous organic flow battery energy storage system. The charge state constraints for lithium battery energy storage systems are set as follows: SOC l min≤ SOC l ≤ SOC l max SOC l This represents the current state of charge of the lithium battery energy storage system. The charge / discharge power constraint for the aqueous organic flow battery energy storage system is set as follows: in P yj c,bess and P yj d,bess These represent the charging power and discharging power of the aqueous organic flow battery energy storage system, respectively. P yj max The rated maximum output power of the aqueous organic flow battery energy storage system; The charging and discharging power constraints for lithium battery energy storage systems are set as follows: in P l c,bess and P l d,bess These represent the charging power and discharging power of the lithium battery energy storage system, respectively. P l max The rated maximum output power of the lithium battery energy storage system; Step 3: Obtain the power commands of the aqueous organic flow battery energy storage system and the lithium battery energy storage system, which serve as the frequency modulation power for the primary frequency modulation of the aqueous organic flow battery energy storage system and the lithium battery energy storage system in coordinated control. (1) When grid load disturbances cause grid frequency fluctuations to exceed the dead zone Δ f ref At that time, power commands are obtained through power demand and charging / discharging power constraints; Power requirements of aqueous organic flow battery energy storage systems P yj PRF The calculation is as follows: P yj PRF =- K yj f ( f -50) in, K yj f This refers to the droop control coefficient for an aqueous organic flow battery energy storage system. f The power grid frequency; Power requirements of lithium battery energy storage systems P l PRF The calculation is as follows: in, K l f This is the droop control coefficient for lithium battery energy storage systems. If the grid frequency is less than the grid set value minus the dead zone Δ f ref ,Right now f <50-Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: If the grid frequency is greater than the grid set value plus the dead zone Δ f ref ,Right now f >50+Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: (2) When the power grid frequency is within the power grid frequency dead zone, i.e. 50 - Δ f ref ≤f≤ 50+Δ f ref At that time, power commands are obtained through output limits and charging / discharging power constraints; When the grid frequency is within the grid frequency dead zone, the aqueous organic flow battery energy storage system adjusts its performance based on the real-time SOC. yjThe lithium battery energy storage system charges and discharges based on the state and frequency deviation values, and the system calculates the real-time SOC (State of Charge). l The power output limitation of an aqueous organic flow battery energy storage system is determined by charging and discharging based on state and frequency deviation values. P yj FEC Output limitations of lithium battery energy storage systems P l FEC for: Power command of aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: in, k yj g The current limiting coefficient for an aqueous organic flow battery energy storage system; k l g The current limiting coefficient for lithium battery energy storage systems; (3) When the SOC of the aqueous organic flow battery energy storage system yj When the upper and lower limits are exceeded and the unit does not issue a frequency regulation command, the power command of the aqueous organic flow battery energy storage system is... P yj FESS for: (4) When the SOC of the lithium battery energy storage system l When the upper and lower limits are exceeded and the unit does not issue a frequency regulation command, the power command of the lithium battery energy storage system... P l FESS for: .

[0007] Secondly, this application provides a primary frequency regulation coordinated control system for thermal power units that integrates multiple types of energy storage, including: The charge state partitioning module is used to partition the charge state of each component of the energy storage system. Energy storage systems include aqueous organic flow battery energy storage systems and lithium battery energy storage systems; The state of charge (SOC) of an aqueous organic flow battery energy storage system is defined as the minimum state of charge (SOC) of the aqueous organic flow battery energy storage system. yj min Low State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj low High State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj high Maximum State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj max Among them, SOC yj min <SOC yj low <SOC yj high <SOC yj max ; The state of charge (SOC) of a lithium-ion battery energy storage system is defined as the minimum state of charge (SOC) of the lithium-ion battery energy storage system. l min Low State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l low High State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l high and the maximum state of charge (SOC) of lithium battery energy storage systems l max Among them, SOC l min <SOC l low <SOC l high <SOC l max ; The constraint setting module is used to set constraints; among them, The charge state constraints for the aqueous organic flow battery energy storage system are set as follows: SOC yj min ≤ SOC yj ≤ SOC yj max SOC yj This represents the current state of charge of the aqueous organic flow battery energy storage system. The charge state constraints for lithium battery energy storage systems are set as follows: SOC l min ≤ SOC l≤ SOC l max SOC l This represents the current state of charge of the lithium battery energy storage system. The charge / discharge power constraint for the aqueous organic flow battery energy storage system is set as follows: in P yj c,bess and P yj d,bess These represent the charging power and discharging power of the aqueous organic flow battery energy storage system, respectively. P yj max The rated maximum output power of the aqueous organic flow battery energy storage system; The charging and discharging power constraints for lithium battery energy storage systems are set as follows: in P l c,bess and P l d,bess These represent the charging power and discharging power of the lithium battery energy storage system, respectively. P l max The rated maximum output power of the lithium battery energy storage system; A frequency modulation power output module is used to obtain power commands from the aqueous organic flow battery energy storage system and the lithium battery energy storage system, and to use these commands as the frequency modulation power for coordinated control of the primary frequency modulation of the aqueous organic flow battery energy storage system and the lithium battery energy storage system; including: The first power command acquisition module is used to handle situations where grid load disturbances cause grid frequency fluctuations to exceed the dead zone Δ. f ref At that time, power commands are obtained through power demand and charging / discharging power constraints; Power requirements of aqueous organic flow battery energy storage systems P yj PRF The calculation is as follows: P yj PRF =- K yj f ( f -50) in,K yj f This refers to the droop control coefficient for an aqueous organic flow battery energy storage system. f The power grid frequency; Power requirements of lithium battery energy storage systems P l PRF The calculation is as follows: in, K l f This is the droop control coefficient for lithium battery energy storage systems. If the grid frequency is less than the grid set value minus the dead zone Δ f ref ,Right now f <50-Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: If the grid frequency is greater than the grid set value plus the dead zone Δ f ref ,Right now f >50+Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: The second power command acquisition module is used when the grid frequency is within the grid frequency dead zone, i.e., 50-Δ f ref ≤f ≤ 50+Δ f ref At that time, power commands are obtained through output limits and charging / discharging power constraints; When the grid frequency is within the grid frequency dead zone, the aqueous organic flow battery energy storage system adjusts its performance based on the real-time SOC. yjThe lithium battery energy storage system charges and discharges based on the state and frequency deviation values, and the system calculates the real-time SOC (State of Charge). l The power output limitation of an aqueous organic flow battery energy storage system is determined by charging and discharging based on state and frequency deviation values. P yj FEC Output limitations of lithium battery energy storage systems P l FEC for: Power command of aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: in, k yj g The current limiting coefficient for an aqueous organic flow battery energy storage system; k l g The current limiting coefficient for lithium battery energy storage systems; The third power command acquisition module is used when the SOC of the aqueous organic liquid flow battery energy storage system is reached. yj When the upper and lower limits are exceeded and the unit does not issue a frequency regulation command, the power command obtained by the aqueous organic flow battery energy storage system is... P yj FESS for: The fourth power command acquisition module is used when the SOC of the lithium battery energy storage system is reached. l The power command obtained by the lithium battery energy storage system when the upper and lower limits are exceeded and the unit does not issue a frequency regulation command. P l FESS for: .

[0008] Thirdly, this application provides a control device, comprising: At least one processor; A memory that is communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor. These instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the method for primary frequency regulation and coordinated control of thermal power units that integrates multiple types of energy storage.

[0009] Fourthly, this application provides a computer-readable storage medium storing a computer program, which, when executed, implements the steps of the aforementioned method for primary frequency regulation and coordinated control of a thermal power unit integrating multiple types of energy storage.

[0010] This invention offers significant advantages and advancements over existing technologies. Specifically, it addresses the constraints of charge state and charge / discharge power in both aqueous organic flow battery energy storage systems and lithium battery energy storage systems, enabling coordinated operation of power units during primary and non-primary frequency regulation processes. This method retains the advantages of aqueous organic flow batteries, such as high safety, long cycle life, and fast response, while reducing battery costs through lithium battery integration. It also reduces the response time of the energy storage system and the thermal power unit to primary frequency regulation from seconds to milliseconds. By fully considering the safety constraints of both aqueous organic flow batteries and lithium battery energy storage systems, it significantly improves the economic efficiency of thermal power unit operation, demonstrating strong engineering application potential and value. Attached Figure Description

[0011] Figure 1 This invention relates to the state of charge (SOC) and charge / discharge power coefficient of the aqueous organic flow battery energy storage system.

[0012] Figure 2 This invention presents the relationship between the State of Charge (SOC) and the charge / discharge power coefficient of the lithium battery energy storage system.

[0013] Figure 3 This is a flowchart illustrating the design process of the method of the present invention. Detailed Implementation

[0014] The technical solutions in this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0015] Example 1 This embodiment provides a primary frequency regulation coordinated control method for thermal power units that integrates multiple types of energy storage, such as... Figures 1-3As shown, it includes the following steps: Step 1: Determine the charge state variables of each component of the energy storage system; Energy storage systems include aqueous organic flow battery energy storage systems and lithium battery energy storage systems; The state of charge (SOC) of an aqueous organic flow battery energy storage system is defined as the minimum state of charge (SOC) of the aqueous organic flow battery energy storage system. yj min Low State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj low High State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj high Maximum State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj max Among them, SOC yj min <SOC yj low <SOC yj high <SOC yj max ; The state of charge (SOC) of a lithium-ion battery energy storage system is defined as the minimum state of charge (SOC) of the lithium-ion battery energy storage system. l min Low State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l low High State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l high and the maximum state of charge (SOC) of lithium battery energy storage systems l max Among them, SOC l min <SOC l low <SOC l high <SOC l max .

[0016] In this embodiment, SOC yj min Values ​​range from 0.1 to 0.2, SOC yj low Values ​​range from 0.2 to 0.3, SOC yj high Values ​​range from 0.7 to 0.8 and SOC yj max The value ranges from 0.8 to 0.9; SOC l minValues ​​range from 0.1 to 0.2, SOC l low Values ​​range from 0.2 to 0.3, SOC l high Values ​​range from 0.7 to 0.8 and SOC l max The value ranges from 0.8 to 0.9.

[0017] Step 2, set constraints; The charge state constraints for the aqueous organic flow battery energy storage system are set as follows: SOC yj min ≤ SOC yj ≤ SOC yj max SOC yj This represents the current state of charge of the aqueous organic flow battery energy storage system. The charge state constraints for lithium battery energy storage systems are set as follows: SOC l min ≤ SOC l ≤ SOC l max SOC l This represents the current state of charge of the lithium battery energy storage system. The charge / discharge power constraint for the aqueous organic flow battery energy storage system is set as follows: in P yj c,bess and P yj d,bess These represent the charging power and discharging power of the aqueous organic flow battery energy storage system, respectively. P yj max The rated maximum output power of the aqueous organic flow battery energy storage system; The charging and discharging power constraints for lithium battery energy storage systems are set as follows: in P l c,bess and P l d,bessThese represent the charging power and discharging power of the lithium battery energy storage system, respectively. P l max This refers to the rated maximum output power of the lithium battery energy storage system.

[0018] Step 3: Obtain the power commands of the aqueous organic flow battery energy storage system and the lithium battery energy storage system, which serve as the frequency modulation power for the primary frequency modulation of the aqueous organic flow battery energy storage system and the lithium battery energy storage system in coordinated control. (1) When grid load disturbances cause grid frequency fluctuations to exceed the dead zone Δ f ref At that time, power commands are obtained through power demand and charging / discharging power constraints; Power requirements of aqueous organic flow battery energy storage systems P yj PRF The calculation is as follows: P yj PRF =- K yj f ( f -50) in, K yj f This refers to the droop control coefficient for an aqueous organic flow battery energy storage system. f The frequency is the power grid frequency; in this embodiment... K yj f These are empirical values ​​and need to be adjusted according to the characteristics of the power grid. Power requirements of lithium battery energy storage systems P l PRF The calculation is as follows: in, K l f This is the droop control coefficient for the lithium battery energy storage system; in this embodiment... K l f These are empirical values ​​and need to be adjusted according to the characteristics of the power grid.

[0019] If the grid frequency is less than the grid set value minus the dead zone Δ f ref ,Right now f <50-Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESSPower commands for lithium battery energy storage systems P l FESS for: If the grid frequency is greater than the grid set value plus the dead zone Δ f ref ,Right now f >50+Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: .

[0020] (2) When the power grid frequency is within the power grid frequency dead zone, i.e. 50 - Δ f ref ≤f≤ 50+Δ f ref At that time, power commands are obtained through output limits and charging / discharging power constraints; When the grid frequency is within the grid frequency dead zone, the aqueous organic flow battery energy storage system adjusts its performance based on the real-time SOC. yj The lithium battery energy storage system charges and discharges based on the state and frequency deviation values, and the system calculates the real-time SOC (State of Charge). l The power output limitation of an aqueous organic flow battery energy storage system is determined by charging and discharging based on state and frequency deviation values. P yj FEC Output limitations of lithium battery energy storage systems P l FEC for: Power command of aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: in, kyj g The current limiting coefficient for an aqueous organic flow battery energy storage system; k l g This is the current limiting coefficient for the lithium battery energy storage system; in this embodiment... k yj g ∈[0.001,0.1], k l g ∈[0.001,0.1].

[0021] (3) When the SOC of the aqueous organic flow battery energy storage system yj When the upper and lower limits are exceeded and the unit does not issue a frequency regulation command, the power command of the aqueous organic flow battery energy storage system is... P yj FESS for: .

[0022] (4) When the SOC of the lithium battery energy storage system l When the upper and lower limits are exceeded and the unit does not issue a frequency regulation command, the power command of the lithium battery energy storage system... P l FESS for: .

[0023] Example 2 Based on the same inventive concept, this application also provides a primary frequency regulation coordinated control system for thermal power units integrating multiple types of energy storage, as described above. The solution provided by this system is similar to the solution described in the above method. Therefore, the specific limitations of the one or more primary frequency regulation coordinated control systems for thermal power units integrating multiple types of energy storage provided below can be found in the limitations of the primary frequency regulation coordinated control method for thermal power units integrating multiple types of energy storage described above, and will not be repeated here.

[0024] A primary frequency regulation and coordinated control system for thermal power units integrating multiple types of energy storage, comprising: The charge state partitioning module is used to partition the charge state of each component of the energy storage system. Energy storage systems include aqueous organic flow battery energy storage systems and lithium battery energy storage systems; The state of charge (SOC) of an aqueous organic flow battery energy storage system is defined as the minimum state of charge (SOC) of the aqueous organic flow battery energy storage system. yj min Low State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yjlow High State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj high Maximum State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj max Among them, SOC yj min <SOC yj low <SOC yj high <SOC yj max ; The state of charge (SOC) of a lithium-ion battery energy storage system is defined as the minimum state of charge (SOC) of the lithium-ion battery energy storage system. l min Low State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l low High State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l high and the maximum state of charge (SOC) of lithium battery energy storage systems l max Among them, SOC l min <SOC l low <SOC l high <SOC l max ; The constraint setting module is used to set constraints; among them, The charge state constraints for the aqueous organic flow battery energy storage system are set as follows: SOC yj min ≤ SOC yj ≤ SOC yj max SOC yj This represents the current state of charge of the aqueous organic flow battery energy storage system. The charge state constraints for lithium battery energy storage systems are set as follows: SOC l min ≤ SOC l ≤ SOC l max SOC l This represents the current state of charge of the lithium battery energy storage system. The charge / discharge power constraint for the aqueous organic flow battery energy storage system is set as follows: in P yj c,bess and P yj d,bess These represent the charging power and discharging power of the aqueous organic flow battery energy storage system, respectively. P yj max The rated maximum output power of the aqueous organic flow battery energy storage system; The charging and discharging power constraints for lithium battery energy storage systems are set as follows: in P l c,bess and P l d,bess These represent the charging power and discharging power of the lithium battery energy storage system, respectively. P l max The rated maximum output power of the lithium battery energy storage system; A frequency modulation power output module is used to obtain power commands from the aqueous organic flow battery energy storage system and the lithium battery energy storage system, and to use these commands as the frequency modulation power for coordinated control of the primary frequency modulation of the aqueous organic flow battery energy storage system and the lithium battery energy storage system; including: The first power command acquisition module is used to handle situations where grid load disturbances cause grid frequency fluctuations to exceed the dead zone Δ. f ref At that time, power commands are obtained through power demand and charging / discharging power constraints; Power requirements of aqueous organic flow battery energy storage systems P yj PRF The calculation is as follows: P yj PRF =- K yj f ( f -50) in, K yj f This refers to the droop control coefficient for an aqueous organic flow battery energy storage system. f The power grid frequency; Power requirements of lithium battery energy storage systems P l PRF The calculation is as follows: in, K l f This is the droop control coefficient for lithium battery energy storage systems. If the grid frequency is less than the grid set value minus the dead zone Δ f ref ,Right now f <50-Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: If the grid frequency is greater than the grid set value plus the dead zone Δ f ref ,Right now f >50+Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: The second power command acquisition module is used when the grid frequency is within the grid frequency dead zone, i.e., 50-Δ f ref ≤f ≤ 50+Δ f ref At that time, power commands are obtained through output limits and charging / discharging power constraints; When the grid frequency is within the grid frequency dead zone, the aqueous organic flow battery energy storage system adjusts its performance based on the real-time SOC. yj The lithium battery energy storage system charges and discharges based on the state and frequency deviation values, and the system calculates the real-time SOC (State of Charge). l The power output limitation of an aqueous organic flow battery energy storage system is determined by charging and discharging based on state and frequency deviation values. P yjFEC Output limitations of lithium battery energy storage systems P l FEC for: Power command of aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: in, k yj g The current limiting coefficient for an aqueous organic flow battery energy storage system; k l g The current limiting coefficient for lithium battery energy storage systems; The third power command acquisition module is used when the SOC of the aqueous organic liquid flow battery energy storage system is reached. yj When the upper and lower limits are exceeded and the unit does not issue a frequency regulation command, the power command obtained by the aqueous organic flow battery energy storage system is... P yj FESS for: The fourth power command acquisition module is used when the SOC of the lithium battery energy storage system is reached. l The power command obtained by the lithium battery energy storage system when the upper and lower limits are exceeded and the unit does not issue a frequency regulation command. P l FESS for: .

[0025] Example 3 This application provides an embodiment of a control device. The control device includes at least one processor; a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to perform the steps of the primary frequency regulation coordinated control method for a thermal power unit integrating multiple types of energy storage as described in Embodiment 1.

[0026] Example 4 Based on the above embodiments, this embodiment provides a computer-readable storage medium storing a computer program, which, when executed, implements the steps of the primary frequency regulation coordinated control method for thermal power units integrating multiple types of energy storage described in Embodiment 1.

[0027] The above embodiments are merely illustrative of the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solutions based on the technical concept proposed in this invention shall fall within the scope of protection of this invention.

Claims

1. A method for primary frequency regulation and coordinated control of thermal power units integrating multiple types of energy storage, characterized in that, Includes the following steps: Step 1: Determine the charge state variables of each component of the energy storage system; Energy storage systems include aqueous organic flow battery energy storage systems and lithium battery energy storage systems; The state of charge (SOC) of an aqueous organic flow battery energy storage system is defined as the minimum state of charge (SOC) of the aqueous organic flow battery energy storage system. yj min Low State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj low High State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj high Maximum State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj max Among them, SOC yj min <SOC yj low <SOC yj high <SOC yj max ; The state of charge (SOC) of a lithium-ion battery energy storage system is defined as the minimum state of charge (SOC) of the lithium-ion battery energy storage system. l min Low State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l low High State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l high and the maximum state of charge (SOC) of lithium battery energy storage systems l max Among them, SOC l min <SOC l low <SOC l high <SOC l max ; Step 2, set constraints; The charge state constraints for the aqueous organic flow battery energy storage system are set as follows: SOCIETY yj min ≤ SOCIETY yj ≤ SOCIETY yj max SOC yj This represents the current state of charge of the aqueous organic flow battery energy storage system. The charge state constraints for lithium battery energy storage systems are set as follows: SOCIETY l min ≤ SOCIETY l ≤ SOCIETY l max SOC l This represents the current state of charge of the lithium battery energy storage system. The charge / discharge power constraint for the aqueous organic flow battery energy storage system is set as follows: ， ， in P yj c,bess and P yj d,bess These represent the charging power and discharging power of the aqueous organic flow battery energy storage system, respectively. P yj max The rated maximum output power of the aqueous organic flow battery energy storage system; The charging and discharging power constraints for lithium battery energy storage systems are set as follows: ， ， in P l c,bess and P l d,bess These represent the charging power and discharging power of the lithium battery energy storage system, respectively. P l max The rated maximum output power of the lithium battery energy storage system; Step 3: Obtain the power commands of the aqueous organic flow battery energy storage system and the lithium battery energy storage system, which serve as the frequency modulation power for the primary frequency modulation of the aqueous organic flow battery energy storage system and the lithium battery energy storage system in coordinated control. (1) When grid load disturbances cause grid frequency fluctuations to exceed the dead zone Δ f ref At that time, power commands are obtained through power demand and charging / discharging power constraints; Power requirements of aqueous organic flow battery energy storage systems P yj PRF The calculation is as follows: P yj PRF =－ K yj f （ f －50） in, K yj f This refers to the droop control coefficient for an aqueous organic flow battery energy storage system. f The power grid frequency; Power requirements of lithium battery energy storage systems P l PRF The calculation is as follows: ， in, K l f This is the droop control coefficient for lithium battery energy storage systems. If the grid frequency is less than the grid set value minus the dead zone Δ f ref ,Right now f <50-Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: ， ， If the grid frequency is greater than the grid set value plus the dead zone Δ f ref ,Right now f >50+Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: ， ， (2) When the power grid frequency is within the power grid frequency dead zone, i.e. 50 - Δ f ref ≤f≤ 50+Δ f ref At that time, power commands are obtained through output limits and charging / discharging power constraints; When the grid frequency is within the grid frequency dead zone, the aqueous organic flow battery energy storage system adjusts its performance based on the real-time SOC. yj The lithium battery energy storage system charges and discharges based on the state and frequency deviation values, and the system calculates the real-time SOC (State of Charge). l The power output limitation of an aqueous organic flow battery energy storage system is determined by charging and discharging based on state and frequency deviation values. P yj FEC Output limitations of lithium battery energy storage systems P l FEC for: ， ， Power command of aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: ， ， in, k yj g The current limiting coefficient for an aqueous organic flow battery energy storage system; k l g The current limiting coefficient for lithium battery energy storage systems; (3) When the SOC of the aqueous organic flow battery energy storage system yj When the upper and lower limits are exceeded and the unit does not issue a frequency regulation command, the power command of the aqueous organic flow battery energy storage system is... P yj FESS for: ， (4) When the SOC of the lithium battery energy storage system l When the upper and lower limits are exceeded and the unit does not issue a frequency regulation command, the power command of the lithium battery energy storage system... P l FESS for: 。 2. A primary frequency regulation and coordinated control system for thermal power units integrating multiple types of energy storage, characterized in that, include: The charge state partitioning module is used to partition the charge state of each component of the energy storage system. Energy storage systems include aqueous organic flow battery energy storage systems and lithium battery energy storage systems; The state of charge (SOC) of an aqueous organic flow battery energy storage system is defined as the minimum state of charge (SOC) of the aqueous organic flow battery energy storage system. yj min Low State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj low High State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj high Maximum State of Charge (SOC) of Aqueous Organic Flow Battery Energy Storage System yj max Among them, SOC yj min <SOC yj low <SOC yj high <SOC yj max ; The state of charge (SOC) of a lithium-ion battery energy storage system is defined as the minimum state of charge (SOC) of the lithium-ion battery energy storage system. l min Low State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l low High State of Charge (SOC) of Lithium-ion Battery Energy Storage Systems l high and the maximum state of charge (SOC) of lithium battery energy storage systems l max Among them, SOC l min <SOC l low <SOC l high <SOC l max ; The constraint setting module is used to set constraints; among them, The charge state constraints for the aqueous organic flow battery energy storage system are set as follows: SOCIETY yj min ≤ SOCIETY yj ≤ SOCIETY yj max SOC yj This represents the current state of charge of the aqueous organic flow battery energy storage system. The charge state constraints for lithium battery energy storage systems are set as follows: SOCIETY l min ≤ SOCIETY l ≤ SOCIETY l max SOC l This represents the current state of charge of the lithium battery energy storage system. The charge / discharge power constraint for the aqueous organic flow battery energy storage system is set as follows: ， ， in P yj c,bess and P yj d,bess These represent the charging power and discharging power of the aqueous organic flow battery energy storage system, respectively. P yj max The rated maximum output power of the aqueous organic flow battery energy storage system; The charging and discharging power constraints for lithium battery energy storage systems are set as follows: ， ， in P l c,bess and P l d,bess These represent the charging power and discharging power of the lithium battery energy storage system, respectively. P l max The rated maximum output power of the lithium battery energy storage system; A frequency modulation power output module is used to obtain power commands from the aqueous organic flow battery energy storage system and the lithium battery energy storage system, and to use these commands as the frequency modulation power for coordinated control of the primary frequency modulation of the aqueous organic flow battery energy storage system and the lithium battery energy storage system; including: The first power command acquisition module is used to handle situations where grid load disturbances cause grid frequency fluctuations to exceed the dead zone Δ. f ref At that time, power commands are obtained through power demand and charging / discharging power constraints; Power requirements of aqueous organic flow battery energy storage systems P yj PRF The calculation is as follows: P yj PRF =－ K yj f （ f －50） in, K yj f This refers to the droop control coefficient for an aqueous organic flow battery energy storage system. f The power grid frequency; Power requirements of lithium battery energy storage systems P l PRF The calculation is as follows: ， in, K l f This is the droop control coefficient for lithium battery energy storage systems. If the grid frequency is less than the grid set value minus the dead zone Δ f ref ,Right now f <50-Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: ， ， If the grid frequency is greater than the grid set value plus the dead zone Δ f ref ,Right now f >50+Δ f ref The power command of the aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: ， ， The second power command acquisition module is used when the grid frequency is within the grid frequency dead zone, i.e., 50-Δ f ref ≤f≤ 50+Δ f ref At that time, power commands are obtained through output limits and charging / discharging power constraints; When the grid frequency is within the grid frequency dead zone, the aqueous organic flow battery energy storage system adjusts its performance based on the real-time SOC. yj The lithium battery energy storage system charges and discharges based on the state and frequency deviation values, and the system calculates the real-time SOC (State of Charge). l The power output limitation of an aqueous organic flow battery energy storage system is determined by charging and discharging based on state and frequency deviation values. P yj FEC Output limitations of lithium battery energy storage systems P l FEC for: ， ， Power command of aqueous organic flow battery energy storage system P yj FESS Power commands for lithium battery energy storage systems P l FESS for: ， ， in, k yj g The current limiting coefficient for an aqueous organic flow battery energy storage system; k l g The current limiting coefficient for lithium battery energy storage systems; The third power command acquisition module is used when the SOC of the aqueous organic liquid flow battery energy storage system is reached. yj When the upper and lower limits are exceeded and the unit does not issue a frequency regulation command, the power command obtained by the aqueous organic flow battery energy storage system is... P yj FESS for: ， The fourth power command acquisition module is used when the SOC of the lithium battery energy storage system is reached. l The power command obtained by the lithium battery energy storage system when the upper and lower limits are exceeded and the unit does not issue a frequency regulation command. P l FESS for: 。 3. A control device, comprising: At least one processor; A memory that is communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the steps of the primary frequency regulation coordinated control method for thermal power units integrating multiple types of energy storage as described in claim 1.

4. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed, implements the steps of the primary frequency regulation coordinated control method for thermal power units integrating multiple types of energy storage as described in claim 1.

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