Virtual power plant control method and device

Abstract

The invention provides a control method and device of a virtual power plant. The control method of the virtual power plant comprises the following steps: S1, data acquisition: a data acquisition module acquires operation data of each distributed energy source in the virtual power plant in real time, wherein the operation data comprises the generating capacity, the load capacity and the state of energy storage equipment; s2, operation state calculation: an operation state calculation module calculates the total operation state of the virtual power plant according to the real-time operation data, and the total operation state comprises the total power generation amount, the total load amount and the residual capacity of energy storage equipment; and S3, making a control strategy: making the control strategy by a control strategy making module according to the overall operation state, including start-stop control of power generation equipment, control of load equipment and charge-discharge control of energy storage equipment. The virtual power plant control method and device provided by the invention have the advantages of high control precision, high response speed and good control effect, so that the operation efficiency of the virtual power plant can be improved, and the operation cost can be reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of virtual power plant control, and in particular, relates to a control method and device for a virtual power plant. Background Art

[0002] With the continuous development of renewable energy, the proportion of distributed energy in the power system is gradually increasing. Distributed energy has the characteristics of small size, wide distribution and many types. Integrating these distributed energy sources to form a virtual power plant can improve the operating efficiency of the power system and reduce operating costs. Virtual power plants can achieve flexible adjustment of power systems by centralized monitoring and optimal control of distributed energy. However, the existing virtual power plant control methods have the problems of low control accuracy, slow response speed and poor control effect.

[0003] Therefore, it is necessary to provide a new control method and device for a virtual power plant to solve the above technical problems. Summary of the invention

[0004] The technical problem solved by the present invention is to provide a control method and device for a virtual power plant which has the advantages of high control accuracy, fast response speed and good control effect, thereby being able to improve the operating efficiency of the virtual power plant and reduce the operating cost.

[0005] In order to solve the above technical problems, the control method of the virtual power plant provided by the present invention comprises the following steps:

[0006] S1. Data acquisition: The data acquisition module obtains the operating data of each distributed energy in the virtual power plant in real time, including power generation, load and energy storage equipment status;

[0007] S2. Operation status calculation: The operation status calculation module calculates the overall operation status of the virtual power plant based on real-time operation data, including total power generation, total load, and remaining capacity of energy storage equipment;

[0008] S3. Control strategy formulation: The control strategy formulation module formulates control strategies according to the overall operating status, including the start and stop control of power generation equipment, the control of load equipment, and the charge and discharge control of energy storage equipment;

[0009] S4. Control strategy issuance: The control strategy issuance module sends the control strategy to the control devices of each distributed energy source to achieve real-time control of the virtual power plant.

[0010] As a further solution of the present invention, the method for obtaining the operating data is as follows:

[0011] (1) Install data acquisition modules, sensors and monitoring equipment at the locations of photovoltaic panels, wind turbines, energy storage batteries and charging piles in the distributed energy system. These devices can collect key operating data in real time, such as power generation, voltage, current, temperature and load;

[0012] (2) Use PLC to control and monitor distributed energy equipment, and collect and analyze data through the SCADA system. The SCADA system can realize real-time monitoring and control of remote equipment to ensure timely acquisition of data;

[0013] (3) Use wired or wireless communication networks to connect dispersed distributed energy devices to achieve remote data transmission;

[0014] (4) Deploy an energy management system that can integrate data from various distributed energy sources, perform centralized processing and analysis, and provide managers with real-time monitoring and decision support;

[0015] (5) The collected data is stored in the cloud platform, and the big data analysis technology is used for in-depth analysis and prediction, so as to optimize energy management and improve energy utilization efficiency;

[0016] (6) Integrate the monitoring systems of various distributed energy sources into the virtual power plant management platform, display and manage the operating status of each energy unit through a unified interface, and achieve optimal allocation and scheduling of resources;

[0017] (7) Analyze historical data based on artificial intelligence and machine learning algorithms to predict future energy demand and supply, and intelligently process real-time data to improve the accuracy of data analysis and decision-making.

[0018] As a further solution of the present invention, the wired or wireless communication network includes but is not limited to Ethernet, optical fiber, wireless private network and 4G / 5G network.

[0019] As a further solution of the present invention, the operating state of the virtual power plant can be calculated by the following formula:

[0020] P total =P gen -P load

[0021] Among them, P total It represents the net power generation of the virtual power plant, that is, the difference between the total power generation and the total load. This difference can be used to evaluate the power supply capacity of the virtual power plant. gen Represents the sum of the real-time power generation of all power generation units, P load Indicates the current total load of the virtual power plant.

[0022] As a further solution of the present invention, the core purpose of the control strategy formulation module is to optimize the operation of each energy unit according to the overall operating status of the virtual power plant to meet the needs of the power grid, ensure the stability of energy supply, and maximize economic benefits. The steps of formulating the control strategy include data acquisition and analysis module, prediction and planning module, economic benefit analysis module, control instruction generation module, execution and adjustment module, safety and stability inspection module and recording and reporting module.

[0023] As a further solution of the present invention, the data acquisition and analysis module can collect real-time operating data of all energy units in the virtual power plant, and then identify the difference between the current operating state and the predetermined target state by analyzing these data. The prediction and planning module uses historical data and prediction models to predict future energy demand, power generation and weather conditions, and then generates an operation plan for the power generation equipment and a charging and discharging strategy for the energy storage equipment based on the prediction results.

[0024] As a further solution of the present invention, the economic benefit analysis module can evaluate the impact of different control strategies on economic benefits, including electricity prices, operating costs and maintenance costs, so as to determine the optimal control strategy to achieve maximum economic benefits.

[0025] As a further solution of the present invention, the control instruction generation module generates control instructions for each energy unit based on the operating status and prediction results. These instructions include start and stop control of power generation equipment, control of load equipment and charge and discharge control of energy storage equipment. The execution and adjustment module can send the control instructions to the corresponding energy unit for execution, and the control strategy can be adjusted by real-time monitoring of the execution effect and feedback information. The safety and stability inspection module can ensure that the control strategy will not adversely affect the stability of the power grid during execution, and can monitor and handle possible faults and safety hazards. The recording and reporting module can record the execution status and effect of the control strategy, provide data support for subsequent strategy optimization, and regularly generate operation reports, which can facilitate management's analysis and decision-making.

[0026] As a further solution of the present invention, the steps of the control strategy issuing module issuing the control strategy to the control devices of each distributed energy are as follows:

[0027] 1) Control strategy preparation: After the control strategy formulation module completes the strategy calculation, it prepares the strategy parameters and instructions, such as the start and stop commands of the power generation equipment, the adjustment commands of the load equipment, and the charge and discharge commands of the energy storage equipment;

[0028] 2) Instruction encoding: Control instructions need to be encoded into a format suitable for transmission, converted into digital signals, and packaged into data packets for transmission;

[0029] 3) Communication network selection: According to the architecture and site conditions of the virtual power plant, select a suitable communication network, such as wired network, wireless network and power line communication to transmit control instructions;

[0030] 4) Sending instructions: Send the encoded control instructions to the control devices of each distributed energy source through the communication network. This step needs to ensure the stability and reliability of the network to avoid loss or error of instructions;

[0031] 5) Control device reception and analysis: The control device of distributed energy needs to monitor network communication in real time. Once a control instruction is received, it needs to be analyzed in order to extract specific control parameters in time;

[0032] 6) Execute control operations: According to the analyzed control parameters, the control device executes control operations on the corresponding energy units, such as starting or stopping the power generation equipment, adjusting the working state of the load equipment, or managing the charging and discharging of the energy storage equipment;

[0033] 7) Status feedback and confirmation: After executing the control operation, the control device will feed back the execution result and device status to the control strategy issuing module. After receiving the status feedback, the control strategy issuing module will confirm the execution of the instruction to ensure that the control strategy is correctly executed;

[0034] 8) Exception handling: During the transmission or execution of control instructions, if a communication failure or device abnormality occurs, the control strategy issuing module needs to take immediate measures, such as resending instructions, adjusting instruction content, or initiating emergency plans;

[0035] 9). Records and Audits: Record the sending, receipt and execution of control instructions to facilitate subsequent audits and analysis. To improve the traceability and reliability of the system, these records should be kept for a certain period of time.

[0036] The present invention also provides a control device for a virtual power plant, characterized in that it includes: a data acquisition module, an operation status calculation module, a control strategy formulation module and a control strategy distribution module, the data acquisition module is used to obtain in real time the operation data of each distributed energy in the virtual power plant, such as power generation, load and energy storage equipment status, the operation status calculation module is used to calculate the overall operation status of the virtual power plant according to the real-time operation data, such as total power generation, total load and remaining capacity of the energy storage equipment, the control strategy formulation module is used to formulate control strategies according to the overall operation status, such as start and stop control of power generation equipment, control of load equipment and charge and discharge control of energy storage equipment, and the control strategy distribution module is used to distribute the control strategies to the control devices of each distributed energy to achieve real-time control of the virtual power plant.

[0037] Compared with the related art, the control method and device of the virtual power plant provided by the present invention have the following beneficial effects:

[0038] 1. The present invention can accurately calculate the overall operating status of the virtual power plant by acquiring the operating data of each distributed energy source in the virtual power plant in real time, thereby formulating a reasonable control strategy and realizing real-time control of the virtual power plant. The present invention has the advantages of high control accuracy, fast response speed and good control effect, and can therefore improve the operating efficiency of the virtual power plant and reduce operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0040] Figure 1 It is a schematic flow chart of the control method of the virtual power plant of the present invention. DETAILED DESCRIPTION

[0041] Please refer to Figure 1 ,in, Figure 1 The control method of the virtual power plant of the present invention is a flow chart of the control method of the virtual power plant. The control method of the virtual power plant includes the following steps:

[0042] S1. Data acquisition: The data acquisition module obtains the operating data of each distributed energy in the virtual power plant in real time, including power generation, load and energy storage equipment status;

[0043] S2. Operation status calculation: The operation status calculation module calculates the overall operation status of the virtual power plant based on real-time operation data, including total power generation, total load, and remaining capacity of energy storage equipment;

[0044] S3. Control strategy formulation: The control strategy formulation module formulates control strategies according to the overall operating status, including the start and stop control of power generation equipment, the control of load equipment, and the charge and discharge control of energy storage equipment;

[0045] S4. Control strategy issuance: The control strategy issuance module sends the control strategy to the control devices of each distributed energy source to achieve real-time control of the virtual power plant.

[0046] The method for obtaining the operating data is as follows:

[0047] (1) Install data acquisition modules, sensors and monitoring equipment at the locations of photovoltaic panels, wind turbines, energy storage batteries and charging piles in the distributed energy system. These devices can collect key operating data in real time, such as power generation, voltage, current, temperature and load;

[0048] (2) Use PLC to control and monitor distributed energy equipment, and collect and analyze data through the SCADA system. The SCADA system can realize real-time monitoring and control of remote equipment to ensure timely acquisition of data;

[0049] (3) Use wired or wireless communication networks to connect dispersed distributed energy devices to achieve remote data transmission;

[0050] (4) Deploy an energy management system that can integrate data from various distributed energy sources, perform centralized processing and analysis, and provide managers with real-time monitoring and decision support;

[0051] (5) The collected data is stored in the cloud platform, and the big data analysis technology is used for in-depth analysis and prediction, so as to optimize energy management and improve energy utilization efficiency;

[0052] (6) Integrate the monitoring systems of various distributed energy sources into the virtual power plant management platform, display and manage the operating status of each energy unit through a unified interface, and achieve optimal allocation and scheduling of resources;

[0053] (7) Analyze historical data based on artificial intelligence and machine learning algorithms to predict future energy demand and supply, and intelligently process real-time data to improve the accuracy of data analysis and decision-making.

[0054] The wired or wireless communication network includes but is not limited to Ethernet, optical fiber, wireless private network and 4G / 5G network.

[0055] The operating status of the virtual power plant can be calculated by the following formula:

[0056] P total =P gen -P load

[0057] Among them, P total It represents the net power generation of the virtual power plant, that is, the difference between the total power generation and the total load. This difference can be used to evaluate the power supply capacity of the virtual power plant. gen Represents the sum of the real-time power generation of all power generation units, P load Indicates the current total load of the virtual power plant.

[0058] The core purpose of the control strategy formulation module is to optimize the operation of each energy unit according to the overall operating status of the virtual power plant to meet the needs of the power grid, ensure the stability of energy supply, and maximize economic benefits. The steps of formulating the control strategy include data acquisition and analysis module, prediction and planning module, economic benefit analysis module, control instruction generation module, execution and adjustment module, safety and stability inspection module and recording and reporting module.

[0059] The data collection and analysis module can collect real-time operating data of all energy units in the virtual power plant, and then identify the difference between the current operating status and the predetermined target status by analyzing these data. The prediction and planning module uses historical data and prediction models to predict future energy demand, power generation and weather conditions, and then plans and generates operation plans for power generation equipment and charging and discharging strategies for energy storage equipment based on the prediction results.

[0060] The economic benefit analysis module can evaluate the impact of different control strategies on economic benefits, including electricity prices, operating costs and maintenance costs, so as to determine the optimal control strategy to achieve maximum economic benefits.

[0061] The control instruction generation module generates control instructions for each energy unit based on the operating status and prediction results. These instructions include start and stop control of power generation equipment, control of load equipment, and charge and discharge control of energy storage equipment. The execution and adjustment module can send control instructions to the corresponding energy unit for execution, and the control strategy can be adjusted by real-time monitoring of execution effects and feedback information. The safety and stability inspection module can ensure that the control strategy will not adversely affect the stability of the power grid during execution, and can monitor and handle possible faults and safety hazards. The recording and reporting module can record the execution status and effects of the control strategy, provide data support for subsequent strategy optimization, and regularly generate operation reports, which can facilitate management's analysis and decision-making.

[0062] The steps of the control strategy issuing module issuing the control strategy to the control devices of each distributed energy are as follows:

[0063] 1) Control strategy preparation: After the control strategy formulation module completes the strategy calculation, it prepares the strategy parameters and instructions, such as the start and stop commands of the power generation equipment, the adjustment commands of the load equipment, and the charge and discharge commands of the energy storage equipment;

[0064] 2) Instruction encoding: Control instructions need to be encoded into a format suitable for transmission, converted into digital signals, and packaged into data packets for transmission;

[0065] 3) Communication network selection: According to the architecture and site conditions of the virtual power plant, select a suitable communication network, such as wired network, wireless network and power line communication to transmit control instructions;

[0066] 4) Sending instructions: Send the encoded control instructions to the control devices of each distributed energy source through the communication network. This step needs to ensure the stability and reliability of the network to avoid loss or error of instructions;

[0067] 5) Control device reception and analysis: The control device of distributed energy needs to monitor network communication in real time. Once a control instruction is received, it needs to be analyzed in order to extract specific control parameters in time;

[0068] 6) Execute control operations: According to the analyzed control parameters, the control device executes control operations on the corresponding energy units, such as starting or stopping the power generation equipment, adjusting the working state of the load equipment, or managing the charging and discharging of the energy storage equipment;

[0069] 7) Status feedback and confirmation: After executing the control operation, the control device will feed back the execution result and device status to the control strategy issuing module. After receiving the status feedback, the control strategy issuing module will confirm the execution of the instruction to ensure that the control strategy is correctly executed;

[0070] 8) Exception handling: During the transmission or execution of control instructions, if a communication failure or device abnormality occurs, the control strategy issuing module needs to take immediate measures, such as resending instructions, adjusting instruction content, or initiating emergency plans;

[0071] 9). Records and Audits: Record the sending, receipt and execution of control instructions to facilitate subsequent audits and analysis. To improve the traceability and reliability of the system, these records should be kept for a certain period of time.

[0072] By acquiring the operating data of each distributed energy source in the virtual power plant in real time, the overall operating status of the virtual power plant can be accurately calculated, so as to formulate a reasonable control strategy and realize real-time control of the virtual power plant. The present invention has the advantages of high control accuracy, fast response speed and good control effect, so it can improve the operating efficiency of the virtual power plant and reduce operating costs.

[0073] The present invention also provides a control device for a virtual power plant, characterized in that it includes: a data acquisition module, an operation status calculation module, a control strategy formulation module and a control strategy distribution module, the data acquisition module is used to obtain in real time the operation data of each distributed energy in the virtual power plant, such as power generation, load and energy storage equipment status, the operation status calculation module is used to calculate the overall operation status of the virtual power plant according to the real-time operation data, such as total power generation, total load and remaining capacity of the energy storage equipment, the control strategy formulation module is used to formulate control strategies according to the overall operation status, such as start and stop control of power generation equipment, control of load equipment and charge and discharge control of energy storage equipment, and the control strategy distribution module is used to distribute the control strategies to the control devices of each distributed energy to achieve real-time control of the virtual power plant.

[0074] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A control method for a virtual power plant, characterized in that: The following steps are involved: S1. Data acquisition: The data acquisition module obtains the operating data of each distributed energy in the virtual power plant in real time, including power generation, load and energy storage equipment status; S2. Operation status calculation: The operation status calculation module calculates the overall operation status of the virtual power plant based on real-time operation data, including total power generation, total load, and remaining capacity of energy storage equipment; S3. Control strategy formulation: The control strategy formulation module formulates control strategies according to the overall operating status, including the start and stop control of power generation equipment, the control of load equipment, and the charge and discharge control of energy storage equipment; S4. Control strategy issuance: The control strategy issuance module sends the control strategy to the control devices of each distributed energy source to achieve real-time control of the virtual power plant.

2. The control method of a virtual power plant according to claim 1, characterized in that: The method for obtaining the operating data is as follows: (1) Install data acquisition modules, sensors and monitoring equipment at the locations of photovoltaic panels, wind turbines, energy storage batteries and charging piles in the distributed energy system. These devices can collect key operating data in real time, such as power generation, voltage, current, temperature and load; (2) Use PLC to control and monitor distributed energy equipment, and collect and analyze data through the SCADA system. The SCADA system can realize real-time monitoring and control of remote equipment to ensure timely acquisition of data; (3) Use wired or wireless communication networks to connect dispersed distributed energy devices to achieve remote data transmission; (4) Deploy an energy management system that can integrate data from various distributed energy sources, perform centralized processing and analysis, and provide managers with real-time monitoring and decision support; (5) The collected data is stored in the cloud platform, and the big data analysis technology is used for in-depth analysis and prediction, so as to optimize energy management and improve energy utilization efficiency; (6) Integrate the monitoring systems of various distributed energy sources into the virtual power plant management platform, display and manage the operating status of each energy unit through a unified interface, and achieve optimal allocation and scheduling of resources; (7) Analyze historical data based on artificial intelligence and machine learning algorithms to predict future energy demand and supply, and intelligently process real-time data to improve the accuracy of data analysis and decision-making.

3. The control method of a virtual power plant according to claim 2, characterized in that: The wired or wireless communication network includes but is not limited to Ethernet, optical fiber, wireless private network and 4G / 5G network.

4. The control method of a virtual power plant according to claim 1, characterized in that: The operating status of the virtual power plant can be calculated by the following formula: P total =P gen -P load Among them, P total It represents the net power generation of the virtual power plant, that is, the difference between the total power generation and the total load. This difference can be used to evaluate the power supply capacity of the virtual power plant. gen Represents the sum of the real-time power generation of all power generation units, P load Indicates the current total load of the virtual power plant.

5. The control method of a virtual power plant according to claim 1, characterized in that: The core purpose of the control strategy formulation module is to optimize the operation of each energy unit according to the overall operating status of the virtual power plant to meet the needs of the power grid, ensure the stability of energy supply, and maximize economic benefits. The steps of formulating the control strategy include data acquisition and analysis module, prediction and planning module, economic benefit analysis module, control instruction generation module, execution and adjustment module, safety and stability inspection module and recording and reporting module.

6. The control method of a virtual power plant according to claim 5, characterized in that: The data collection and analysis module can collect real-time operating data of all energy units in the virtual power plant, and then identify the difference between the current operating status and the predetermined target status by analyzing these data. The prediction and planning module uses historical data and prediction models to predict future energy demand, power generation and weather conditions, and then plans and generates operation plans for power generation equipment and charging and discharging strategies for energy storage equipment based on the prediction results.

7. The control method of a virtual power plant according to claim 5, characterized in that: The economic benefit analysis module can evaluate the impact of different control strategies on economic benefits, including electricity prices, operating costs and maintenance costs, so as to determine the optimal control strategy to achieve maximum economic benefits.

8. The control method of a virtual power plant according to claim 5, characterized in that: The control instruction generation module generates control instructions for each energy unit based on the operating status and prediction results. These instructions include start and stop control of power generation equipment, control of load equipment, and charge and discharge control of energy storage equipment. The execution and adjustment module can send control instructions to the corresponding energy unit for execution, and the control strategy can be adjusted by real-time monitoring of execution effects and feedback information. The safety and stability inspection module can ensure that the control strategy will not adversely affect the stability of the power grid during execution, and can monitor and handle possible faults and safety hazards. The recording and reporting module can record the execution status and effects of the control strategy, provide data support for subsequent strategy optimization, and regularly generate operation reports, which can facilitate management's analysis and decision-making.

9. The control method of a virtual power plant according to claim 1, characterized in that: The steps of the control strategy issuing module issuing the control strategy to the control devices of each distributed energy are as follows: 1) Control strategy preparation: After the control strategy formulation module completes the strategy calculation, it prepares the strategy parameters and instructions, such as the start and stop commands of the power generation equipment, the adjustment commands of the load equipment, and the charge and discharge commands of the energy storage equipment; 2) Instruction encoding: Control instructions need to be encoded into a format suitable for transmission, converted into digital signals, and packaged into data packets for transmission; 3) Communication network selection: According to the architecture and site conditions of the virtual power plant, select a suitable communication network, such as wired network, wireless network and power line communication to transmit control instructions; 4) Sending instructions: Send the encoded control instructions to the control devices of each distributed energy source through the communication network. This step needs to ensure the stability and reliability of the network to avoid loss or error of instructions; 5) Control device reception and analysis: The control device of distributed energy needs to monitor network communication in real time. Once a control instruction is received, it needs to be analyzed in order to extract specific control parameters in time; 6) Execute control operations: According to the analyzed control parameters, the control device executes control operations on the corresponding energy units, such as starting or stopping the power generation equipment, adjusting the working state of the load equipment, or managing the charging and discharging of the energy storage equipment; 7) Status feedback and confirmation: After executing the control operation, the control device will feed back the execution result and device status to the control strategy issuing module. After receiving the status feedback, the control strategy issuing module will confirm the execution of the instruction to ensure that the control strategy is correctly executed; 8) Exception handling: During the transmission or execution of control instructions, if a communication failure or device abnormality occurs, the control strategy issuing module needs to take immediate measures, such as resending instructions, adjusting instruction content, or initiating emergency plans; 9). Records and Audits: Record the sending, receipt and execution of control instructions to facilitate subsequent audits and analysis. To improve the traceability and reliability of the system, these records should be kept for a certain period of time.

10. A control device for a virtual power plant, characterized in that: include: A data acquisition module, an operation status calculation module, a control strategy formulation module and a control strategy distribution module. The data acquisition module is used to obtain the operation data of each distributed energy in the virtual power plant in real time, such as power generation, load and energy storage equipment status. The operation status calculation module is used to calculate the overall operation status of the virtual power plant according to the real-time operation data, such as total power generation, total load and remaining capacity of the energy storage equipment. The control strategy formulation module is used to formulate control strategies according to the overall operation status, such as start and stop control of power generation equipment, control of load equipment and charge and discharge control of energy storage equipment. The control strategy distribution module is used to distribute the control strategy to the control device of each distributed energy to achieve real-time control of the virtual power plant.

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