CN-121984119-A - Efficient wind energy storage and scheduling optimization method and related device

Abstract

The invention discloses a high-efficiency wind energy storage and scheduling optimization method and a related device, wherein the high-efficiency wind energy storage and scheduling optimization method comprises a wind energy data acquisition and prediction module, an intelligent scheduling optimization module and a dual-mode energy storage management module, the dual-mode energy storage management module comprises a superconducting energy storage system and a liquid air energy storage system, the wind energy data acquisition and prediction module is used for acquiring current wind speed, temperature and humidity and power grid load and calculating wind power output power according to the current wind speed, the current temperature and the power grid load, and the intelligent scheduling optimization module is used for obtaining a charge and discharge control instruction according to the wind power output power, the power grid load, an electricity price signal, the charge states of the superconducting energy storage system and the liquid air energy storage system, the charge and discharge capacities of the superconducting energy storage system and the liquid air energy storage system and the current running state, and controlling the superconducting energy storage system and the liquid air energy storage system according to the charge and discharge control instruction.

Inventors

• ZHAI MENGXIAN
• LI JIADONG
• GAO FAN
• NING YUE

Assignees

• 西安热工研究院有限公司

Dates

Publication Date

20260505

Application Date

20260112

Claims (10)

1. 1. The high-efficiency wind energy storage and scheduling optimization system is characterized by comprising a wind energy data acquisition and prediction module, an intelligent scheduling optimization module and a dual-mode energy storage management module, wherein the dual-mode energy storage management module comprises a superconducting energy storage system and a liquid air energy storage system; the wind energy data acquisition and prediction module is used for acquiring the current wind speed, the temperature and the humidity and the power grid load and calculating wind power output power according to the current wind speed, the temperature and the humidity and the power grid load; The intelligent scheduling optimization module is used for obtaining a charge-discharge control instruction according to the wind power output power, the power grid load, the electricity price signal, the charge states of the superconducting energy storage system and the liquid air energy storage system, the charge-discharge capacity and the current running state of the superconducting energy storage system and the liquid air energy storage system, and controlling the superconducting energy storage system and the liquid air energy storage system according to the charge-discharge control instruction.
2. 2. The efficient wind energy storage and dispatch optimization system of claim 1, wherein the wind energy data collection and prediction module comprises a wind speed sensor, a temperature and humidity detection device, a power grid load sensor and a prediction module, wherein the output ends of the wind speed sensor, the temperature and humidity detection device and the power grid load sensor are connected with the input end of the prediction module.
3. 3. The efficient wind energy storage and dispatch optimization system of claim 1, further comprising a real-time control and visualization module coupled to the intelligent dispatch optimization module and the dual mode energy storage management module.
4. 4. The efficient wind energy storage and scheduling optimization method is characterized by comprising the following steps of: Collecting current wind speed, temperature and humidity and grid load, and calculating wind power output power according to the current wind speed, the temperature and humidity and the grid load; And obtaining charge and discharge control instructions according to the wind power output power, the power grid load, the electricity price signal, the charge states of the superconducting energy storage system and the liquid air energy storage system, the charge and discharge capacities of the superconducting energy storage system and the liquid air energy storage system and the current running states of the superconducting energy storage system and the liquid air energy storage system, and controlling the superconducting energy storage system and the liquid air energy storage system according to the charge and discharge control instructions.
5. 5. The efficient wind energy storage and dispatch optimization method of claim 4, wherein the wind power output power P wind (t) at time t is: Wherein V wind 、T air and L grid represent wind speed, air temperature and grid load data over n time steps, respectively.
6. 6. The method of optimizing wind energy storage and dispatching according to claim 4, wherein the process of obtaining the charge and discharge control command according to the wind power output power, the grid load, the electricity price signal, the charge states of the superconducting energy storage system and the liquid air energy storage system, the charge and discharge capacities of the superconducting energy storage system and the liquid air energy storage system, and the current operation states of the superconducting energy storage system and the liquid air energy storage system is as follows: And inputting the wind power output power, the power grid load, the electricity price signal, the charge states of the superconducting energy storage system and the liquid air energy storage system, the charge and discharge capacities of the superconducting energy storage system and the liquid air energy storage system and the current running states of the superconducting energy storage system and the liquid air energy storage system into a trained deep Q network to obtain a charge and discharge control instruction.
7. 7. The method of claim 6, wherein the charge-discharge control command includes a distribution ratio of wind power between the superconducting energy storage system and the liquid air energy storage system, charge-discharge control commands of the superconducting energy storage system and the liquid air energy storage system, and whether wind power is directly supplied to the network.
8. 8. The efficient wind energy storage and dispatch optimization method of claim 7, wherein the deep Q network is trained and optimized via a non-dominant ranking genetic algorithm.
9. 9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the high efficiency wind energy storage and dispatch optimization method of any one of claims 4-8 when the computer program is executed by the processor.
10. 10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the high efficiency wind energy storage and dispatch optimization method of any one of claims 4-8.

Description

Efficient wind energy storage and scheduling optimization method and related device Technical Field The invention belongs to the field of wind energy utilization and intelligent power grid dispatching, and relates to a high-efficiency wind energy storage and dispatching optimization method and a related device. Background Wind energy is taken as an important component of renewable energy sources, has the characteristics of volatility and intermittence, and therefore, the fluctuation of the internet load is large, and the power supply stability is affected. Traditional battery energy storage technology is limited by the limitations of charge and discharge efficiency, service life and capacity, and large-scale utilization of the traditional battery energy storage technology faces a plurality of problems. The superconducting energy storage and the liquid air energy storage become important development directions of wind energy storage due to high energy density, high power output and schedulability. However, how to efficiently schedule these two energy storage modes to accommodate the unstable characteristics of wind energy while reducing energy storage loss and grid fluctuations remains a need for solving the two problems in wind energy storage applications. Disclosure of Invention The invention aims to overcome the defects of the prior art and provides a high-efficiency wind energy storage and scheduling optimization method and a related device, wherein the method and the related device can efficiently schedule superconducting energy storage and liquid air energy storage. In order to achieve the aim, the invention discloses a high-efficiency wind energy storage and scheduling optimization system which comprises a wind energy data acquisition and prediction module, an intelligent scheduling optimization module and a dual-mode energy storage management module, wherein the dual-mode energy storage management module comprises a superconducting energy storage system and a liquid air energy storage system; the wind energy data acquisition and prediction module is used for acquiring the current wind speed, the temperature and the humidity and the power grid load and calculating wind power output power according to the current wind speed, the temperature and the humidity and the power grid load; The intelligent scheduling optimization module is used for obtaining a charge-discharge control instruction according to the wind power output power, the power grid load, the electricity price signal, the charge states of the superconducting energy storage system and the liquid air energy storage system, the charge-discharge capacity and the current running state of the superconducting energy storage system and the liquid air energy storage system, and controlling the superconducting energy storage system and the liquid air energy storage system according to the charge-discharge control instruction. The invention further improves the high-efficiency wind energy storage and scheduling optimization system, which comprises the following steps: Further, the wind energy data acquisition and prediction module comprises a wind speed sensor, temperature and humidity detection equipment, a power grid load sensor and a prediction module, wherein the output ends of the wind speed sensor, the temperature and humidity detection equipment and the power grid load sensor are connected with the input end of the prediction module. Further, the intelligent energy storage system further comprises a real-time control and visualization module, wherein the real-time control and visualization module is connected with the intelligent scheduling optimization module and the dual-mode energy storage management module. The invention discloses a high-efficiency wind energy storage and scheduling optimization method, which comprises the following steps: Collecting current wind speed, temperature and humidity and grid load, and calculating wind power output power according to the current wind speed, the temperature and humidity and the grid load; And obtaining charge and discharge control instructions according to the wind power output power, the power grid load, the electricity price signal, the charge states of the superconducting energy storage system and the liquid air energy storage system, the charge and discharge capacities of the superconducting energy storage system and the liquid air energy storage system and the current running states of the superconducting energy storage system and the liquid air energy storage system, and controlling the superconducting energy storage system and the liquid air energy storage system according to the charge and discharge control instructions. The invention further improves the high-efficiency wind energy storage and scheduling optimization method, which comprises the following steps: Further, the wind power output P wind (t) at time t is: Wherein V wind、Tair and L grid represent wind speed, air temperature and g