New energy storage power station with electric energy recovery function

Abstract

The invention discloses a new energy storage power station with an electric energy recovery function. The new energy storage power station is mainly composed of a control system module, and a sensor module, a controller module, an acquisition system module, a compressor module, a gas storage tank module, a heat exchange module, a turbine module, an energy storage module and an inverter module which are connected with the control system module. In the new energy storage power station, a control system fuses equipment characteristics with a digital model, equipment characteristic data are associated with corresponding equipment elements in the digital model, real-time monitoring and control of the equipment state and performance are achieved, and through the steps of data collection, state estimation, optimization algorithm design and control strategy design, the equipment performance and the performance of the new energy storage power station are improved. Therefore, the equipment characteristics and the digital model are closely combined, and the monitoring and control capability of the energy storage station is further enhanced. Meanwhile, the accuracy of model prediction and the accuracy and integrity of data are improved, and the monitoring and control effects of the whole system are optimized.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage power stations, and particularly relates to a new energy storage power station with an electric energy recovery function. Background Art

[0002] A new energy storage power station refers to a facility that uses new energy technologies to convert energy into electric energy and stores the electric energy for power supply when needed. The energy storage power station can solve the intermittency and volatility problems of new energy and provide a stable power supply. Common new energy storage power stations include battery energy storage power stations, pumped-storage power stations, and compressed air energy storage power stations. These power stations can store a large amount of electric energy and release it during peak energy demand to balance the load of the power system. New energy storage power stations are of great significance in promoting the development of renewable energy, improving energy utilization efficiency, and achieving sustainable energy transformation.

[0003] In the prior art, the control system needs to monitor and adjust the operation status of the power station in real time to meet the grid demand and load changes. However, due to the delay in signal transmission and processing, the response speed of the control system may be limited, resulting in the power station being unable to adjust and respond to changing demands in a timely manner. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a new energy storage power station with an electric energy recovery function, which overcomes the defect that the response speed of the control system in the prior art may be limited, resulting in the power station being unable to adjust and respond to changing demands in a timely manner.

[0005] To solve the above technical problem, the present invention adopts the following technical solutions:

[0006] A new energy storage power station with an electric energy recovery function mainly consists of a control system module and a sensor module, a controller module, an acquisition system module, a compressor module, a gas storage tank module, a heat exchange module, a turbine module, an energy storage module, and an inverter module connected thereto; wherein, the compressor module, the gas storage tank module, and the heat exchange module are connected in sequence, and the gas storage tank module is also connected to the turbine module, the energy storage module, and the inverter module in sequence.

[0007] The control system module mainly consists of a fault detection unit, a fault diagnosis unit, a fault tolerance control unit, a fault repair unit, and a system repair unit connected in sequence.

[0008] The fault detection unit conducts fault detection. By monitoring and analyzing the status of each component and subsystem in the power station, it determines whether there are faults. The fault diagnosis unit conducts fault diagnosis to determine the type and specific location of the faults. The fault tolerance control unit conducts fault tolerance control, switches to the standby system or takes other measures to ensure the normal operation of the power station. The fault repair unit repairs the causes and impacts of the faults. The system repair unit conducts system restoration to restore the power station to the normal operation state.

[0009] The control system module also includes a data acquisition and preprocessing unit, a mathematical model establishment unit, an optimization algorithm design unit, a control strategy design unit, a real-time monitoring and feedback unit, and an evaluation and adjustment unit that are connected in sequence. Among them, the mathematical model establishment unit is also connected to a model fusion unit and a model optimization unit at the same time.

[0010] The data acquisition and preprocessing unit acquires various data during the operation of the power station. The mathematical model establishment unit establishes a mathematical model to describe the behavior and performance of the power station. The optimization algorithm design unit selects a suitable optimization algorithm to achieve the optimal control of the power station. The control strategy design unit designs a suitable control strategy to achieve the optimal control. The real-time monitoring and feedback unit monitors the status and performance of the power station in real time and implements corresponding feedback control according to the results of the optimization algorithm and the control strategy. The evaluation and adjustment unit regularly evaluates the optimization algorithm and the control strategy and checks the performance and effect of the power station.

[0011] The model fusion unit is mainly composed of a model collection unit, an attribute acquisition unit, a state parameter estimation unit, an algorithm optimization unit, and an adjustment and optimization unit that are connected in sequence.

[0012] The attribute acquisition unit acquires the operation data of the energy storage station equipment in real time and corresponds the acquired equipment attribute data with the equipment elements. The state parameter estimation unit conducts state estimation and parameter estimation based on the acquired equipment attribute data and the digital model. The algorithm optimization unit designs an optimization algorithm based on the digital model and the objective function. The adjustment and optimization unit makes the equipment attributes and the digital model fuse with each other, and the equipment attribute data is associated with the corresponding equipment elements in the digital model.

[0013] The model optimization unit is mainly composed of a model analysis unit, a variable screening unit, a state calibration unit, a simplified establishment unit, a verification and evaluation unit, and a continuous improvement unit that are connected in sequence.

[0014] The model analysis unit analyzes and understands the established mathematical model. The variable screening unit screens and optimizes the variables in the model. The state calibration unit estimates and calibrates the parameters in the model, obtains the accurate values of the parameters, and calibrates the model. The simplified establishment unit re-establishes a simplified mathematical model according to the results of the variable screening and optimization, as well as the results of the parameter estimation and calibration. The verification and evaluation unit verifies and evaluates the simplified model.

[0015] In view of the problems existing in current new - energy energy - storage power stations, the inventor has designed a new - energy energy - storage power station with an electric - energy recovery function, which mainly consists of a control - system module and a sensor module, a controller module, a collection - system module, a compressor module, a gas - storage tank module, a heat - exchange module, a turbine module, an energy - storage module, and an inverter module connected thereto; among them, the compressor module, the gas - storage tank module, and the heat - exchange module are connected in sequence, and the gas - storage tank module is also connected to the turbine module, the energy - storage module, and the inverter module in sequence. In the new - energy energy - storage power station of the present invention, the control system integrates the equipment characteristics with the digital model, associates the equipment - characteristic data with the corresponding equipment components in the digital model, realizes the real - time monitoring and control of the equipment state and performance, and through the steps of data collection, state estimation, optimization - algorithm design, and control - strategy design, makes the equipment characteristics and the digital model closely combined, further strengthening the monitoring and control capabilities of the energy - storage station. At the same time, according to the collected equipment - characteristic data, the state and parameters of the equipment components are accurately estimated, thereby improving the accuracy of model prediction. For the collected equipment - characteristic data, operations such as data cleaning, calibration, and interpolation are implemented, effectively improving the accuracy and integrity of the data, and further optimizing the monitoring and control effects of the overall system. Brief Description of the Drawings

[0016] Figure 1 It is a schematic diagram of the overall system flow of the new - energy energy - storage power station with an electric - energy recovery function of the present invention.

[0017] Figure 2 It is a schematic diagram of the system flow of the control - system module in the new - energy energy - storage power station of the present invention.

[0018] Figure 3 It is a schematic diagram of the system flow of the data - collection and pre - processing unit in the new - energy energy - storage power station of the present invention.

[0019] Figure 4 It is a schematic diagram of the system flow of the model - fusion unit in the new - energy energy - storage power station of the present invention.

[0020] Figure 5 It is a schematic diagram of the system flow of the model - optimization unit in the new - energy energy - storage power station of the present invention.

[0021] In the figure: 1. Control system module; 2. Compressor module; 3. Gas storage tank module; 4. Heat exchange module; 5. Sensor module; 6. Controller module; 7. Acquisition system module; 8. Inverter module; 9. Energy storage module; 10. Turbine module; 101. Fault detection unit; 102. Fault diagnosis unit; 103. Fault tolerance control unit; 104. Fault repair unit; 105. System repair unit; 106. Data acquisition and preprocessing unit; 107. Model fusion unit; 108. Model optimization unit; 109. Optimization algorithm design unit; 110. Control strategy design unit; 111. Real-time monitoring and feedback unit; 112. Evaluation and adjustment unit; 113. Model collection unit; 114. Attribute acquisition unit; 115. State parameter prediction unit; 116. Algorithm optimization unit; 117. Adjustment and optimization unit; 118. State calibration unit; 119. Simplified establishment unit; 120. Verification and evaluation unit; 121. Continuous improvement unit; 122. Mathematical model establishment unit; 123. Model analysis unit; 124. Variable screening unit. Detailed implementation mode

[0022] I. Basic structure and functions

[0023] As Figure 1 shown, the new energy energy storage power station with power recovery function of the present invention mainly consists of a control system module and a sensor module, a controller module, an acquisition system module, a compressor module, a gas storage tank module, a heat exchange module, a turbine module, an energy storage module and an inverter module connected thereto; wherein, the compressor module, the gas storage tank module and the heat exchange module are connected in sequence, and the gas storage tank module is also connected to the turbine module, the energy storage module and the inverter module in sequence. Each module is connected and operated through pipelines, cables and a control system.

[0024] As Figure 2 shown, the control system module mainly consists of a fault detection unit, a fault diagnosis unit, a fault tolerance control unit, a fault repair unit and a system repair unit connected in sequence.

[0025] The system first needs to perform fault detection. The fault detection unit judges whether there is a fault by monitoring and analyzing the states of various components and subsystems of the power station; once a fault is detected, the system needs to perform fault diagnosis, and the fault diagnosis unit determines the type and specific location of the fault; once the fault is diagnosed, the system needs to perform fault tolerance control, and the fault tolerance control unit switches to the standby system or takes other measures to ensure the normal operation of the power station; once the fault is diagnosed and fault tolerance control is performed, the system needs to perform fault repair, and the fault repair unit repairs the cause and impact of the fault; once the fault is repaired, the system needs to perform system recovery, and the system repair unit restores the power station to the normal operation state.

[0026] AsFigure 3 As shown, the control system module further includes a data acquisition and preprocessing unit, a mathematical model establishment unit, an optimization algorithm design unit, a control strategy design unit, a real-time monitoring and feedback unit, and an evaluation and adjustment unit, which are connected in sequence; among them, the mathematical model establishment unit is also connected to a model fusion unit and a model optimization unit at the same time.

[0027] The data acquisition and preprocessing unit acquires various data during the operation of the power station, including sensor data, power station status data, and environmental data; the mathematical model establishment unit then establishes a mathematical model to describe the behavior and performance of the power station according to the characteristics and requirements of the power station; the optimization algorithm design unit selects a suitable optimization algorithm according to the characteristics and objectives of the power station to achieve the optimal control of the power station; the control strategy design unit designs a suitable control strategy according to the characteristics and requirements of the power station to achieve the optimal control; the real-time monitoring and feedback unit, during the operation of the power station, monitors the status and performance of the power station in real time, and implements corresponding feedback control according to the results of the optimization algorithm and the control strategy; the evaluation and adjustment unit finally evaluates the optimization algorithm and the control strategy regularly to check the performance and effect of the power station.

[0028] As Figure 4 shown, the model fusion unit mainly consists of a model collection unit, an attribute acquisition unit, a state parameter estimation unit, an algorithm optimization unit, and an adjustment and optimization unit, which are connected in sequence.

[0029] The attribute acquisition unit acquires the operation data of the energy storage station equipment in real time through devices such as sensors, including voltage, current, temperature, and capacity, and corresponds the acquired equipment attribute data with the equipment elements; the state parameter estimation unit then performs state estimation and parameter estimation based on the acquired equipment attribute data and the digital model; the algorithm optimization unit designs an optimization algorithm based on the digital model and the objective function; the goal of the optimization algorithm is to find the optimal control strategy and operation parameters according to the real-time state and target requirements of the energy storage station; the adjustment and optimization unit finally makes the equipment attributes and the digital model fuse with each other, and the equipment attribute data is associated with the corresponding equipment elements in the digital model to realize the monitoring and control of the equipment state and performance. Through the steps of data acquisition, state estimation, optimization algorithm design, and control strategy design, the equipment attributes and the digital model are combined to realize the monitoring and control of the energy storage station.

[0030] As Figure 5 shown, the model optimization unit mainly consists of a model analysis unit, a variable screening unit, a state calibration unit, a simplified establishment unit, a verification and evaluation unit, and a continuous improvement unit, which are connected in sequence.

[0031] First, the model analysis unit analyzes and understands the established mathematical model; understands the relationships among the structure, parameters, and variables of the model, as well as the inputs and outputs of the model; then the variable screening unit screens and optimizes the variables in the model according to actual requirements and feasibility, screens out the key variables that have a greater impact on the model output, and optimizes the model structure to remove redundant variables and parameters; the state calibration unit then estimates and calibrates the parameters in the model based on actual data and experimental results, obtains the accurate values of the parameters through experiments and observations, and calibrates the model to improve the prediction accuracy of the model; the simplified establishment unit then re-establishes a simplified mathematical model according to the results of variable screening and optimization, as well as the results of parameter estimation and calibration. The simplified model should retain the key variables and parameters and be able to accurately predict the behavior and performance of the power station. Finally, the verification and evaluation unit verifies and evaluates the simplified model; evaluates the accuracy and reliability of the simplified model by comparing it with actual data and experimental results.

[0032] II. Working Principle

[0033] In the energy storage power station of the present invention, the compressor module transports compressed air to the gas storage tank module, the gas storage tank module transports the stored compressed air to the turbine module, the turbine module converts mechanical energy into electrical energy, and outputs the electrical energy to the power grid or other devices through an inverter. At the same time, the control system module monitors and controls the operation of the entire system to ensure the coordination and efficient operation among the modules. Through the cooperation of these modules, the new energy storage power station with the function of electric energy recovery can efficiently store and utilize electric energy. Specifically, when controlling the entire system, the mathematical model and the physical model cooperate with each other. The mathematical model provides the prediction and optimization of the behavior and performance of the energy storage station through the description and analysis of the physical model. The physical model provides the basis and foundation for the mathematical model by modeling the physical characteristics and operating mechanisms of the energy storage station. Finally, through steps such as data acquisition, state estimation, optimization algorithm design, and control strategy design, the mathematical model and the physical model are combined to achieve the monitoring and control of the energy storage station.

Claims

1. A new energy energy storage power station with an electric energy recovery function, characterized in that It is mainly composed of a control system module and a sensor module, a controller module, an acquisition system module, a compressor module, a gas storage tank module, a heat exchange module, a turbine module, an energy storage module, and an inverter module connected thereto; among them, the compressor module, the gas storage tank module, and the heat exchange module are connected in sequence, and the gas storage tank module is also connected to the turbine module, the energy storage module, and the inverter module in sequence.

2. The new energy energy storage power station according to claim 1, characterized in that: The control system module is mainly composed of a fault detection unit, a fault diagnosis unit, a fault tolerance control unit, a fault repair unit, and a system repair unit connected in sequence.

3. The new energy energy storage power station according to claim 2, characterized in that: The fault detection unit performs fault detection. By monitoring and analyzing the states of various components and subsystems of the power station, it determines whether there are faults; the fault diagnosis unit performs fault diagnosis to determine the type and specific location of the faults; the fault tolerance control unit performs fault tolerance control, switches to the standby system or takes other measures to ensure the normal operation of the power station; the fault repair unit repairs the causes and impacts of the faults; the system repair unit performs system recovery to restore the power station to the normal operation state.

4. The new energy energy storage power station according to claim 1, characterized in that: The control system module also includes a data acquisition and preprocessing unit, a mathematical model establishment unit, an optimization algorithm design unit, a control strategy design unit, a real-time monitoring and feedback unit, and an evaluation and adjustment unit connected in sequence; among them, the mathematical model establishment unit is also connected to a model fusion unit and a model optimization unit at the same time.

5. The new energy energy storage power station according to claim 4, characterized in that: The data acquisition and preprocessing unit acquires various data during the operation of the power station; the mathematical model establishment unit establishes a mathematical model to describe the behavior and performance of the power station; the optimization algorithm design unit selects a suitable optimization algorithm to achieve the optimal control of the power station; The control strategy design unit designs a suitable control strategy to achieve optimal control; The real-time monitoring and feedback unit monitors the state and performance of the power station in real time and implements corresponding feedback control according to the results of the optimization algorithm and the control strategy; the evaluation and adjustment unit regularly evaluates the optimization algorithm and the control strategy and checks the performance and effect of the power station.

6. The new energy energy storage power station according to claim 4, wherein: The model fusion unit is mainly composed of a model collection unit, an attribute acquisition unit, a state parameter estimation unit, an algorithm optimization unit, and an adjustment and optimization unit connected in sequence.

7. The new energy energy storage power station according to claim 6, characterized in that: The attribute acquisition unit acquires the operation data of the energy storage station equipment in real time and corresponds the acquired equipment attribute data to the equipment elements; the state parameter estimation unit performs state estimation and parameter estimation based on the acquired equipment attribute data and the digital model; the algorithm optimization unit designs an optimization algorithm based on the digital model and the objective function; the adjustment and optimization unit enables the equipment attributes to be fused with the digital model, and the equipment attribute data is associated with the corresponding equipment elements in the digital model.

8. The new energy energy storage power station according to claim 4, characterized in that: The model optimization unit is mainly composed of a model analysis unit, a variable screening unit, a state calibration unit, a simplified establishment unit, a verification and evaluation unit, and a continuous improvement unit connected in sequence.

9. The new energy energy storage power station according to claim 8, characterized in that: The model analysis unit analyzes and understands the established mathematical model; the variable screening unit screens and optimizes the variables in the model; the state calibration unit estimates and calibrates the parameters in the model, obtains the accurate values of the parameters, and calibrates the model; the simplified establishment unit re-establishes a simplified mathematical model according to the results of variable screening and optimization and the results of parameter estimation and calibration; the verification and evaluation unit verifies and evaluates the simplified model.

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