Coal electricity-photovoltaic coupling peak regulation strategy design method based on supercritical CO2 compressor

Abstract

The invention provides a coal electricity-photovoltaic coupling peak regulation strategy design method based on a supercritical CO2 compressor, and the method comprises the steps: arranging a high-temperature heat exchanger at an energy exchange part of a coal-fired power generation unit, and carrying out the heat source matching of the coal-fired power generation unit and a supercritical CO2 Brayton cycle system; the high-temperature side of the circulation system is connected with a reheat steam pipeline of the coal-fired power generation unit, and a combined heat supply path of the coal-electricity main steam system and the supercritical CO2 circulation is generated; a thermoelectric coupling interface between a direct current bus of a photovoltaic power generation system and a circulating system is constructed, and a supercritical CO2 compressor is driven through photovoltaic power generation; and obtaining multi-source data of the integrated system, analyzing the multi-source data through an artificial intelligence algorithm, and formulating a coordination control strategy of the thermoelectric storage integrated system in a power grid peak regulation process. According to the method, a more flexible and efficient power peak regulation strategy can be realized by optimally designing an energy conversion path between coal power and photovoltaic power and utilizing the characteristics of supercritical CO2 circulation.

Description

Technical Field

[0001] This application relates to the field of power peak-shaving control technology, and in particular to a design method for a coal-power-photovoltaic coupled peak-shaving strategy based on a supercritical CO2 compressor. Background Technology

[0002] With the increasing demand for clean energy and the strengthening of carbon emission restrictions, the effective integration of traditional coal power with renewable energy sources such as photovoltaic power has attracted more and more attention.

[0003] In the area of ​​power peak shaving, the significant diurnal periodicity and weather dependence of photovoltaic power generation pose challenges to grid stability due to its output fluctuations. Furthermore, traditional coal-fired power units have limitations in rapidly responding to grid demands, including long start-up times and slow regulation rates.

[0004] Therefore, how to effectively regulate power peaks for traditional coal-fired power systems and photovoltaic power generation systems has become an urgent problem to be solved. Summary of the Invention

[0005] This application aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the first objective of this application is to propose a design method for a coal-power-photovoltaic coupled peak-shaving strategy based on a supercritical CO2 compressor. This method optimizes the energy conversion path between coal power and photovoltaic power and utilizes the characteristics of the supercritical CO2 cycle to achieve a more flexible and efficient power peak-shaving strategy. Furthermore, it reduces reliance on additional energy storage devices, lowering the overall system construction and operating costs. This method not only enhances the stability of the power system but also further promotes the effective utilization of clean energy.

[0007] The second objective of this application is to propose a design system for a coal-power-photovoltaic coupled peak-shaving strategy based on a supercritical CO2 compressor.

[0008] The third objective of this application is to propose an electronic device.

[0009] The fourth objective of this application is to provide a computer-readable storage medium.

[0010] To achieve the above objectives, the first aspect of this application is to propose a design method for a coal-fired power-photovoltaic coupled peak-shaving strategy based on a supercritical CO2 compressor, comprising the following steps: By installing a high-temperature heat exchanger at the energy exchange point of the coal-fired power generation unit, the coal-fired power generation unit is matched with a supercritical CO2 Brayton cycle system for heat source matching. The high-temperature heat exchanger is used to heat the CO2 working fluid to a supercritical state. The high-temperature side of the circulation system is connected to the reheat steam pipeline of the coal-fired power generation unit to generate a combined heating path of the coal-fired main steam system and the supercritical CO2 cycle. A thermoelectric coupling interface is constructed between the DC bus of the photovoltaic power generation system and the circulation system. Based on the coupling interface, a supercritical CO2 compressor is driven by photovoltaic power generation to construct a thermoelectric storage integrated system. The system acquires multi-source data from the integrated system, analyzes the multi-source data using artificial intelligence algorithms, and formulates a coordinated control strategy for the integrated thermal power storage system during grid peak shaving.

[0011] Optionally, after constructing the integrated thermal power storage system, the method further includes: configuring a grid-type inverter and a virtual inertial control module in the integrated thermal power storage system; and controlling the photovoltaic power generation system and the supercritical CO2 Brayton cycle system to coordinate grid frequency support through the grid-type inverter and the virtual inertial control module in response to grid frequency disturbances.

[0012] Optionally, the energy exchange point of the coal-fired power generation unit includes: a waste heat area of ​​the coal-fired boiler flue gas or a steam turbine extraction port. The heat source matching between the coal-fired power generation unit and the supercritical CO2 Brayton cycle system includes: installing the high-temperature heat exchanger in the waste heat area of ​​the coal-fired boiler flue gas or the steam turbine extraction port; using the supercritical CO2 heated by the high-temperature heat exchanger to drive the turbine generator to generate electricity; and connecting the electricity generated by the turbine generator to the grid to respond to load demand when photovoltaic output decreases.

[0013] Optionally, the step of driving a supercritical CO2 compressor via photovoltaic power generation based on the coupling interface includes: connecting the photovoltaic modules in the photovoltaic power generation system to the DC bus via an MPPT controller; using the DC bus and the coupling interface to drive the electric compressor in the supercritical CO2 Brayton cycle system with the electrical energy generated by the photovoltaic modules; and adjusting the power supply mode of the electric compressor according to the sunlight data.

[0014] Optionally, the multi-source data includes photovoltaic power output forecast data, grid load demand data, and the operating status of the coal-fired power generating units. The step of analyzing the multi-source data using artificial intelligence algorithms to formulate a coordinated control strategy for the integrated thermal power storage system during grid peak shaving includes: combining the photovoltaic power output forecast data, the grid load demand data, and the operating status to generate operating parameter adjustment instructions for the supercritical CO2 cycle and load adjustment instructions for the coal-fired power generating units using artificial intelligence algorithms; inputting the instructions generated by the artificial intelligence algorithms into a digital twin platform for scheduling pre-simulation; and optimizing the instructions based on the scheduling pre-simulation results.

[0015] Optionally, the coordinated control strategy includes a multi-condition switching strategy. The process of generating operating parameter adjustment instructions for the supercritical CO2 cycle and load adjustment instructions for the coal-fired power generation unit using artificial intelligence algorithms includes: adjusting the coal-fired power generation unit to operate at a reduced load when the sunlight data is greater than the sunlight threshold, and using the electrical energy generated by the photovoltaic power generation system to drive the supercritical CO2 compressor to boost and store energy; controlling the supercritical CO2 Brayton cycle system to release the stored electrical energy when the photovoltaic output decreases or the grid load increases; and increasing the load of the coal-fired power generation unit and switching the supercritical CO2 Brayton cycle system to a low-power state during nighttime or continuous rainy weather.

[0016] To achieve the above objectives, a second aspect of this application also proposes a coal-fired power-photovoltaic coupled peak-shaving strategy design system based on a supercritical CO2 compressor, comprising the following modules: The module is configured to match the coal-fired generator set with a supercritical CO2 Brayton cycle system by setting a high-temperature heat exchanger at the energy exchange point of the coal-fired generator set, wherein the high-temperature heat exchanger is used to heat the CO2 working fluid to a supercritical state. A connection module is used to connect the high-temperature side of the circulation system to the reheat steam pipeline of the coal-fired power generation unit, thereby generating a combined heating path between the coal-fired main steam system and the supercritical CO2 cycle. A construction module is used to construct a thermoelectric coupling interface between the DC bus of the photovoltaic power generation system and the circulation system. Based on the coupling interface, a supercritical CO2 compressor is driven by photovoltaic power generation to construct a thermoelectric storage integrated system. The scheduling module is used to acquire multi-source data from the integrated system, analyze the multi-source data through artificial intelligence algorithms, and formulate a coordinated control strategy for the integrated thermal power storage system during the grid peak shaving process.

[0017] To achieve the above objectives, a third aspect of this application also provides an electronic device, comprising: at least one processor; and A memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to execute the coal-fired power-photovoltaic coupled peak-shaving strategy design method based on a supercritical CO2 compressor as described in any of the first aspects above.

[0018] To achieve the above objectives, the fourth aspect of this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the design method of the coal-power-photovoltaic coupling peak-shaving strategy based on a supercritical CO2 compressor as described in any of the first aspects above.

[0019] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects: By deeply coupling photovoltaic power generation systems with traditional coal-fired power generating units and introducing a supercritical CO2 Brayton cycle system as an intermediate thermodynamic conversion module, this application can achieve rapid response to grid load fluctuations, improve energy utilization efficiency, and reduce carbon emissions. This application optimizes the grid connection mode of coal-fired power generating units and photovoltaic power generation systems, constructs a physical-level energy synergy mechanism, and enables different energy forms to complement each other during peak shaving. This application not only promotes the large-scale integration of renewable energy but also improves the utilization efficiency of existing coal resources, reduces greenhouse gas emissions, and is conducive to promoting the sustainable development of green resources.

[0020] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a design method for a coal-fired power-photovoltaic coupling peak-shaving strategy based on a supercritical CO2 compressor, as proposed in an embodiment of this application. Figure 2 This is a schematic diagram of the operating logic of an integrated thermoelectric energy storage system proposed in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a coal-power-photovoltaic coupled peak-shaving strategy design system based on a supercritical CO2 compressor, as proposed in an embodiment of this application. Detailed Implementation

[0022] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0023] It should be noted that, in order to overcome the shortcomings of traditional coal-fired power systems and photovoltaic power generation systems in the field of power peak shaving, the supercritical CO2 Brayton cycle system is applied to the power system in the relevant embodiments. Through the extremely high thermal efficiency and significant system compactness of the supercritical CO2 Brayton cycle technology, the flexibility and efficiency of the power system are improved.

[0024] However, the solutions using supercritical CO2 Brayton cycle technology in the aforementioned embodiments mainly focus on optimizing a single energy form and fail to adequately consider how to effectively integrate intermittent renewable energy sources (such as photovoltaic power generation) into the existing power supply system. Furthermore, when dealing with fluctuations in photovoltaic output, these embodiments typically employ the addition of energy storage devices or reliance on external grid support, which not only increases system complexity and cost but is also difficult to implement in some remote areas or off-grid environments.

[0025] To this end, this application proposes a coal-power-photovoltaic coupled peak-shaving strategy design method based on a supercritical CO2 compressor. This method combines a photovoltaic power generation system, a coal-fired power generation unit and a supercritical CO2 Brayton cycle system, and uses an artificial intelligence coordination control system to optimize the energy distribution and operating parameters among the components, thereby achieving high-efficiency and low-emission power production.

[0026] The following description, with reference to the accompanying drawings, illustrates a design method and system for a coal-power-photovoltaic coupled peak-shaving strategy based on a supercritical CO2 compressor, as proposed in an embodiment of this application.

[0027] Figure 1 This is a flowchart illustrating a design method for a coal-fired power-photovoltaic coupled peak-shaving strategy based on a supercritical CO2 compressor, as proposed in an embodiment of this application. Figure 1 As shown, the method includes the following steps: Step S101: By installing a high-temperature heat exchanger at the energy exchange point of the coal-fired power generator set, the coal-fired power generator set is matched with the supercritical CO2 Brayton cycle system for heat source matching. The high-temperature heat exchanger is used to heat the CO2 working fluid to a supercritical state.

[0028] Specifically, this application first optimizes the energy conversion path between the coal-fired power generation unit and the photovoltaic power generation system by introducing a supercritical CO2 Brayton cycle system to achieve intermediate thermodynamic conversion in the coupled system. To this end, this application first conducts an integrated design of the supercritical CO2 compressor system.

[0029] In one embodiment of this application, the energy exchange point of the coal-fired power generation unit includes: a waste heat area of ​​the coal-fired boiler flue gas or a steam turbine extraction port. The heat source matching between the coal-fired power generation unit and the supercritical CO2 Brayton cycle system includes: setting a high-temperature heat exchanger in the waste heat area of ​​the coal-fired boiler flue gas or a steam turbine extraction port, and using the supercritical CO2 heated by the high-temperature heat exchanger to drive the turbine generator to generate electricity; and outputting the electricity generated by the turbine generator to the grid to respond to load demand when the photovoltaic output decreases.

[0030] Specifically, this application involves installing a high-temperature heat exchanger in the waste heat area of ​​a coal-fired boiler flue gas or at the steam extraction port of a steam turbine. The waste heat area of ​​the coal-fired boiler flue gas and the steam extraction port are two specific locations from which energy is drawn out or recovered from the main channel of the coal-fired power unit, and these locations are used to drive a supercritical CO2 cycle. The high-temperature heat exchanger is used to heat the CO2 working fluid to a supercritical state.

[0031] Furthermore, such as Figure 2 As shown, a supercritical CO2 Brayton cycle system can drive a turbine generator to generate electricity. This supercritical CO2 cycle not only possesses compact and efficient characteristics, but also serves as a flexible adjustment unit on the coal-fired power plant side, rapidly responding to load demands when photovoltaic output declines, thereby effectively suppressing grid fluctuations. Through the design strategy of this embodiment, heat source matching and coupled system topology optimization can be achieved, ensuring that the supercritical CO2 cycle can operate stably under various operating conditions.

[0032] Step S102: Connect the high-temperature side of the circulation system to the reheat steam pipeline of the coal-fired power generation unit to generate a combined heating path of the coal-fired main steam system and the supercritical CO2 cycle.

[0033] Specifically, this step, building upon the previous step, establishes a joint regulation mechanism between the coal-fired power plant's main steam system and the supercritical CO2 cycle to further improve energy utilization efficiency. This is achieved by connecting the high-temperature side of the supercritical CO2 cycle to the reheat steam pipeline of the coal-fired power plant, forming a combined heating path.

[0034] The reheat steam pipeline connects the exhaust port of the turbine's high-pressure cylinder to the boiler's reheater. This application connects the high-temperature side of the supercritical CO2 cycle to the reheat steam pipeline, utilizing the heat of the reheat steam to improve the efficiency of the CO2 cycle. This design cleverly achieves thermodynamic integration between the coal-fired power plant's main steam system and the CO2 cycle, improving the overall thermal efficiency of the coupled system while enhancing the flexibility and response speed of the coal-fired power unit during peak shaving. This thermodynamic integration method can improve the dynamic adjustment capability of the entire system without significantly increasing coal consumption.

[0035] Step S103: Construct a thermoelectric coupling interface between the DC bus of the photovoltaic power generation system and the circulation system. Based on the coupling interface, drive the supercritical CO2 compressor through photovoltaic power generation to construct a thermoelectric storage integrated system.

[0036] Specifically, this step constructs a thermo-electric coupling interface between the DC bus of the photovoltaic power generation system and the supercritical CO2 cycle system. This interface enables photovoltaic power generation to directly drive the supercritical CO2 compressor.

[0037] In one embodiment of this application, driving a supercritical CO2 compressor via photovoltaic power generation based on a coupling interface includes: connecting photovoltaic modules in a photovoltaic power generation system to a DC bus via an MPPT controller; using the DC bus and the coupling interface to drive an electric compressor in a supercritical CO2 Brayton cycle system with the electrical energy generated by the photovoltaic modules; and adjusting the power supply mode of the electric compressor according to sunlight data.

[0038] Specifically, such as Figure 2 The photovoltaic (PV) modules are connected to a high-voltage direct current (HVDC) bus via a Maximum Power Point Tracking Controller (MPPT), and then supply power to the supercritical CO2 Brayton cycle system through a thermoelectric coupling interface on the bus. The electricity generated by the PV modules is primarily used to drive the electric compressor in the supercritical CO2 Brayton cycle system. Energy is stored during periods of sufficient sunlight, while at night or on cloudy days, the system is maintained by power from the coal-fired power unit, ensuring system continuity. Thus, this thermoelectric coupling interface design achieves efficient local consumption of PV power while improving the overall system's flexibility and responsiveness.

[0039] That is, the thermoelectric coupling interface design of this application enables the photovoltaic power generation system to directly drive the supercritical CO2 cycle for energy storage, thereby alleviating the problem of photovoltaic power output fluctuation without relying on external energy storage devices.

[0040] The supercritical CO2 compressor in this application is essentially an electric compressor, but its working medium is supercritical carbon dioxide, which enables highly efficient energy conversion. This supercritical CO2 compressor serves two purposes: firstly, it acts as an energy conversion hub, serving as the starting point of the supercritical CO2 Brayton cycle, responsible for compressing CO2 to a high-pressure state to prepare for subsequent heating and work. Secondly, it can act as an energy storage device, consuming photovoltaic power during periods of ample sunlight. The compressor is integrated via a thermoelectric coupling interface, allowing for efficient local consumption of photovoltaic power instead of simply connecting it to the grid, thus effectively mitigating the fluctuations in photovoltaic power output.

[0041] Therefore, this application introduces a supercritical CO2 Brayton cycle system into a coal-power-photovoltaic coupled system, constructing a multi-energy complementary energy flow structure. The system obtained after completing this step can achieve integrated and coordinated operation of heat, electricity, and storage (hereinafter referred to as the integrated heat, power, and storage system), improving peak-shaving flexibility and response speed.

[0042] Step S104: Obtain multi-source data from the integrated system, analyze the multi-source data using artificial intelligence algorithms, and formulate a coordinated control strategy for the integrated thermal power storage system during grid peak shaving.

[0043] Specifically, this step is based on artificial intelligence algorithms to implement a coordinated control strategy for the integrated system in practical applications.

[0044] In one embodiment of this application, the multi-source data includes photovoltaic power output forecast data, grid load demand data, and the operating status of coal-fired power generating units. The multi-source data is analyzed using artificial intelligence algorithms to formulate a coordinated control strategy for the integrated thermal power storage system during grid peak shaving. This includes: combining photovoltaic power output forecast data, grid load demand data, and operating status to generate operating parameter adjustment instructions for the supercritical CO2 cycle and load adjustment instructions for the coal-fired power generating units using artificial intelligence algorithms; inputting the instructions generated by the artificial intelligence algorithms into a digital twin platform for scheduling pre-simulation; and optimizing each instruction based on the scheduling pre-simulation results.

[0045] Specifically, such as Figure 2 As shown, this embodiment comprehensively considers photovoltaic power output forecasting, changes in grid load demand, and the operating status of coal-fired power units to dynamically adjust the operating parameters of the supercritical CO2 cycle and optimize the energy flow path. The control system can use AI algorithms to analyze the acquired multi-source data in real time, automatically formulate the optimal scheduling scheme, and conduct scheduling rehearsals through a digital twin platform, thereby improving the system's intelligence level and operational safety, and achieving adaptive peak shaving.

[0046] Among them, the digital twin platform is a digital model (i.e., a digital twin) that is completely mapped to the physical entity of the actual coal-fired power-photovoltaic-supercritical CO2 cyclic coupling peak-shaving system. It is a process of simulating and verifying the system's scheduling scheme in advance.

[0047] As an example, the process of scheduling simulation using a digital twin platform is as follows: First, the digital twin platform accesses multi-source data collected in real time from the actual power plant, including photovoltaic output forecast data, grid load demand change data, coal-fired power unit operating status data (such as main steam parameters and unit load), and supercritical CO2 cycle operating parameters (such as CO2 working fluid temperature and pressure). Then, based on this real data, the overall operating environment of the power plant and the working status of each component are reproduced in the digital twin. Next, the optimal scheduling scheme formulated by the artificial intelligence algorithm (such as CO2 cycle operating parameter adjustment strategies, coal-fired power unit load regulation plans, and photovoltaic power distribution schemes) is input into the digital twin platform to simulate the actual operating effect of the scheme under different operating conditions (such as a sudden drop in photovoltaic output, a sudden increase in load, and continuous rainy weather). Finally, through the evaluation of key indicators such as system stability, energy utilization efficiency, and peak-shaving response speed during the simulation, it is determined whether the scheduling scheme meets the requirements. If problems exist, they are fed back to the artificial intelligence control system for optimization and adjustment until a safe and efficient scheduling scheme is determined.

[0048] Therefore, the embodiments of this application achieve coordinated control of the integrated system by integrating artificial intelligence control strategies and digital twin simulation platforms, thereby improving system operating efficiency and stability.

[0049] In one embodiment of this application, the coordinated control strategy includes a multi-condition switching strategy, which generates operating parameter adjustment instructions for the supercritical CO2 cycle and load adjustment instructions for the coal-fired power generation unit through an artificial intelligence algorithm. This includes: adjusting the coal-fired power generation unit to operate at a reduced load when the sunlight data exceeds the sunlight threshold, and using the electricity generated by the photovoltaic power generation system to drive the supercritical CO2 compressor to boost and store energy; controlling the supercritical CO2 Brayton cycle system to release the stored electrical energy when the photovoltaic output decreases or the grid load increases; and increasing the load of the coal-fired power generation unit and switching the supercritical CO2 Brayton cycle system to a low-power state during nighttime or continuous rainy weather.

[0050] Specifically, the coordinated control strategy formulated in this embodiment includes a multi-condition switching strategy. During the day, when sunlight is abundant (e.g., illuminance exceeds the corresponding threshold), photovoltaic power generation is the primary mode, with a portion of the photovoltaic power used to drive the supercritical CO2 compressor for boosting and energy storage, and to control the coal-fired power units to operate at reduced load. When photovoltaic output decreases or grid load increases, the supercritical CO2 cycle releases its stored energy to supplement the grid power gap. At night or during periods of continuous overcast or rainy weather, the system switches to a coal-fired power-dominated mode, with the supercritical CO2 Brayton cycle system maintaining a low-power standby state, ready to respond to sudden peak-shaving demands. The operating strategy of this embodiment fully considers the system's stability and economy under different time periods and load conditions.

[0051] Therefore, this embodiment constructs a flexible scheduling mechanism applicable to multiple operating conditions to meet the power peak shaving needs in different scenarios.

[0052] Based on the above embodiments, in order to further enhance the response capability of the integrated system to grid frequency disturbances, in one embodiment of this application, after constructing the integrated thermal power storage system, it further includes: configuring a grid-type inverter and a virtual inertial control module in the integrated thermal power storage system; in response to grid frequency disturbances, controlling the photovoltaic power generation system and the supercritical CO2 Brayton cycle system to coordinate grid frequency support through the grid-type inverter and the virtual inertial control module.

[0053] Specifically, this embodiment configures a grid-connected inverter and a virtual inertial control module, which enables the photovoltaic power generation system and the supercritical CO2 Brayton cycle system to jointly participate in grid frequency support. When a grid frequency deviation is detected, the supercritical CO2 Brayton cycle system can rapidly release stored thermal energy, improving short-term high-power response and effectively mitigating grid disturbances caused by photovoltaic fluctuations. This design strategy is suitable for grid environments with high renewable energy penetration and is beneficial for improving system stability and anti-interference capabilities.

[0054] Therefore, this embodiment can enhance the frequency support capability of the integrated system under high-proportion renewable energy access, and improve the grid adaptability and anti-disturbance performance.

[0055] In summary, the coal-power-photovoltaic coupled peak-shaving strategy design method based on a supercritical CO2 compressor, as described in this application, achieves rapid response to grid load fluctuations, improves energy utilization efficiency, and reduces carbon emissions by deeply coupling the photovoltaic power generation system with a traditional coal-fired power generation unit and introducing a supercritical CO2 Brayton cycle system as an intermediate thermodynamic conversion module. This method optimizes the grid connection mode of the coal-fired power generation unit and the photovoltaic power generation system, constructing a physical-level energy synergy mechanism that allows different energy forms to complement each other during peak shaving. This method not only promotes the large-scale integration of renewable energy but also improves the utilization efficiency of existing coal resources, reduces greenhouse gas emissions, and is conducive to the sustainable development of green resources.

[0056] To achieve the above embodiments, this application also proposes a coal-fired power-photovoltaic coupled peak-shaving strategy design system based on a supercritical CO2 compressor. Figure 3 This is a schematic diagram of the structure of a coal-fired power-photovoltaic coupled peak-shaving strategy design system based on a supercritical CO2 compressor, as proposed in an embodiment of this application. Figure 3 As shown, the system includes: The module 100 is used to match the heat source of a coal-fired generator set with a supercritical CO2 Brayton cycle system by setting a high-temperature heat exchanger at the energy exchange point of the coal-fired generator set. The high-temperature heat exchanger is used to heat the CO2 working fluid to a supercritical state.

[0057] The connection module 200 is used to connect the high-temperature side of the circulation system to the reheat steam pipeline of the coal-fired power generation unit, thereby generating a combined heating path between the main steam system of the coal-fired power plant and the supercritical CO2 cycle.

[0058] Module 300 is used to construct a thermoelectric coupling interface between the DC bus of the photovoltaic power generation system and the circulation system. Based on the coupling interface, a supercritical CO2 compressor is driven by photovoltaic power generation to construct a thermoelectric storage integrated system.

[0059] The scheduling module 400 is used to acquire multi-source data from the integrated system, analyze the multi-source data through artificial intelligence algorithms, and formulate a coordinated control strategy for the integrated thermal power storage system during the grid peak shaving process.

[0060] In one embodiment of this application, the system further includes a grid-type inverter and a virtual inertial control module, which are configured in the integrated thermoelectric energy storage system. Specifically, the grid-type inverter and the virtual inertial control module are used to: control the photovoltaic power generation system and the supercritical CO2 Brayton cycle system to coordinate and support the grid frequency in response to grid frequency disturbances.

[0061] It should be noted that the foregoing explanation of the embodiment of the coal-power-photovoltaic coupling peak-shaving strategy design method based on supercritical CO2 compressor also applies to the system of this embodiment, and will not be repeated here.

[0062] In summary, the coal-fired power-photovoltaic coupled peak-shaving strategy design system based on a supercritical CO2 compressor in this application deeply couples the photovoltaic power generation system with a traditional coal-fired power generation unit and introduces a supercritical CO2 Brayton cycle system as an intermediate thermodynamic conversion module. This enables rapid response to grid load fluctuations, improves energy utilization efficiency, and reduces carbon emissions. The system optimizes the grid connection mode of the coal-fired power generation unit and the photovoltaic power generation system, constructing a physical-level energy synergy mechanism that allows different energy forms to complement each other during peak shaving.

[0063] To implement the above embodiments, this application also proposes an electronic device, comprising: at least one processor; and A memory communicatively connected to at least one processor; wherein the memory stores instructions executable by at least one processor, the instructions being executed by at least one processor to enable at least one processor to execute the coal-fired power-photovoltaic coupled peak-shaving strategy design method based on a supercritical CO2 compressor as described in any one of the first aspects above.

[0064] To implement the above embodiments, this application also proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the design method of coal-fired power-photovoltaic coupling peak-shaving strategy based on a supercritical CO2 compressor as described in any one of the first aspect embodiments above.

[0065] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0066] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0067] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0068] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0069] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0070] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0071] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0072] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A design method for a coal-fired power-photovoltaic coupled peak-shaving strategy based on a supercritical CO2 compressor, characterized in that, Includes the following steps: By installing a high-temperature heat exchanger at the energy exchange point of the coal-fired power generation unit, the coal-fired power generation unit is matched with a supercritical CO2 Brayton cycle system for heat source matching. The high-temperature heat exchanger is used to heat the CO2 working fluid to a supercritical state. The high-temperature side of the circulation system is connected to the reheat steam pipeline of the coal-fired power generation unit to generate a combined heating path of the coal-fired main steam system and the supercritical CO2 cycle. A thermoelectric coupling interface is constructed between the DC bus of the photovoltaic power generation system and the circulation system. Based on the coupling interface, a supercritical CO2 compressor is driven by photovoltaic power generation to construct a thermoelectric storage integrated system. The system acquires multi-source data from the integrated system, analyzes the multi-source data using artificial intelligence algorithms, and formulates a coordinated control strategy for the integrated thermal power storage system during grid peak shaving.

2. The method according to claim 1, characterized in that, Following the construction of the integrated thermoelectric storage system, the following is also included: A grid-type inverter and a virtual inertial control module are configured in the integrated thermoelectric energy storage system; In response to grid frequency disturbances, the grid-connected inverter and the virtual inertial control module coordinate the photovoltaic power generation system and the supercritical CO2 Brayton cycle system to support the grid frequency.

3. The method according to claim 1, characterized in that, The energy exchange point of the coal-fired power generation unit includes: the waste heat area of ​​the coal-fired boiler flue gas or the steam extraction port of the steam turbine. The heat source matching of the coal-fired power generation unit with the supercritical CO2 Brayton cycle system includes: The high-temperature heat exchanger is installed in the waste heat area of ​​the flue gas of the coal-fired boiler or at the steam extraction port of the steam turbine. The supercritical CO2 heated by the high-temperature heat exchanger drives the turbine generator to generate electricity. The electrical energy generated by the turbine generator is output to the grid to respond to load demand when photovoltaic output decreases.

4. The method according to claim 1, characterized in that, The method of driving a supercritical CO2 compressor via photovoltaic power generation based on the coupling interface includes: The photovoltaic modules in the photovoltaic power generation system are connected to the DC bus via the MPPT controller. Based on the DC bus and the coupling interface, the electrical energy generated by the photovoltaic modules drives the electric compressor in the supercritical CO2 Brayton cycle system. The power supply method of the electric compressor is adjusted according to the illumination data.

5. The method according to claim 1, characterized in that, The multi-source data includes photovoltaic power output forecast data, grid load demand data, and the operating status of the coal-fired power generating units. The step of analyzing the multi-source data using artificial intelligence algorithms to formulate a coordinated control strategy for the integrated thermal power storage system during grid peak shaving includes: Combining the photovoltaic power output forecast data, the power grid load demand data, and the operating status, artificial intelligence algorithms are used to generate operating parameter adjustment instructions for the supercritical CO2 cycle and load adjustment instructions for the coal-fired power generating units. The instructions generated by the artificial intelligence algorithm are input into the digital twin platform for scheduling and pre-simulation, and the instructions are optimized based on the scheduling and pre-simulation results.

6. The method according to claim 5, characterized in that, The coordinated control strategy includes a multi-condition switching strategy. The generation of operating parameter adjustment instructions for the supercritical CO2 cycle and load adjustment instructions for the coal-fired power generating unit through artificial intelligence algorithms includes: When the light irradiance data is greater than the light irradiance threshold, the coal-fired power generation unit is adjusted to operate at a reduced load, and the electrical energy generated by the photovoltaic power generation system drives the supercritical CO2 compressor to boost and store energy. When photovoltaic output decreases or grid load increases, the supercritical CO2 Brayton cycle system is controlled to release the stored electrical energy. During nighttime or continuous rainy weather, the load of the coal-fired power generation unit is increased, and the supercritical CO2 Brayton cycle system is switched to a low-power state.

7. A design system for a coal-fired power-photovoltaic coupled peak-shaving strategy based on a supercritical CO2 compressor, characterized in that, Includes the following modules: The module is configured to match the coal-fired generator set with a supercritical CO2 Brayton cycle system by setting a high-temperature heat exchanger at the energy exchange point of the coal-fired generator set, wherein the high-temperature heat exchanger is used to heat the CO2 working fluid to a supercritical state. A connection module is used to connect the high-temperature side of the circulation system to the reheat steam pipeline of the coal-fired power generation unit, thereby generating a combined heating path between the coal-fired main steam system and the supercritical CO2 cycle. A construction module is used to construct a thermoelectric coupling interface between the DC bus of the photovoltaic power generation system and the circulation system. Based on the coupling interface, a supercritical CO2 compressor is driven by photovoltaic power generation to construct a thermoelectric storage integrated system. The scheduling module is used to acquire multi-source data from the integrated system, analyze the multi-source data through artificial intelligence algorithms, and formulate a coordinated control strategy for the integrated thermal power storage system during the grid peak shaving process.

8. The system according to claim 7, characterized in that, It also includes a grid-type inverter and a virtual inertial control module, which are configured in the integrated thermoelectric energy storage system. Specifically, the grid-type inverter and the virtual inertial control module are used for: In response to disturbances in the power grid frequency, the photovoltaic power generation system and the supercritical CO2 Brayton cycle system are controlled to coordinate and support the power grid frequency.

9. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the design method for a coal-fired power-photovoltaic coupled peak-shaving strategy based on a supercritical CO2 compressor as described in any one of claims 1-6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the design method of coal-power-photovoltaic coupled peak-shaving strategy based on supercritical CO2 compressor as described in any one of claims 1-6.

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