Energy management method of battery energy storage power station based on wind power prediction

Abstract

The present invention proposes an energy management method for battery energy storage power stations based on wind power prediction, which includes the following steps: first, obtain the day-ahead forecast value of wind power, the current actual wind power value, and the current controllable state value and load of each energy storage unit. Then, based on the forecast value of wind power, calculate the upper and lower limit eigenvalues ​​of wind power forecast respectively; finally, through the finite state machine control module, the combined output control target of wind and storage is corrected in real time, and the total power demand value of the battery energy storage power station is determined. ; The finite state machine control module includes an energy storage SOC finite state machine and a wind power finite state machine. The invention takes the short-term predicted value of wind power into the control strategy of the battery energy storage power station, and realizes the coordinated control of the power of the battery energy storage power station based on the predicted power of wind power and the optimal management of stored energy.

Description

technical field [0001] The invention belongs to the technical field of smart grid and energy storage and conversion, and specifically relates to a control method for a battery energy storage power station considering wind power day-ahead forecasting, and is especially suitable for coordinated control of wind storage power and battery power in wind storage combined power generation systems of various scales. Energy management of the energy storage system to improve wind power forecasting capability based on the energy storage system. Background technique [0002] The National Wind-Storage Storage and Transmission Demonstration Project is the first batch of pilot projects of the State Grid Corporation of China to build a strong and smart grid. It is the world's largest comprehensive renewable energy demonstration project integrating wind power, photovoltaic power generation, energy storage and power transmission projects. Among them, the national wind power storage and transm...

AI Technical Summary

Problems solved by technology

In the existing large-scale battery energy storage system / power station power control and energy management methods, the charge and discharge rate characteristics of the energy storage battery are generally not included in the constraints for energy management. Complementary characteristics of the energy system, and disadvantages such as affecting the service life of the battery

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