Control method for stabilizing short-term wind power fluctuation of energy storage based on adaptive neural network (ANN)

Abstract

The invention relates to a method for stabilizing short-term wind power fluctuation of energy storage based on an adaptive neural network (ANN). A double-battery-pack energy storage system for stabilizing wind power fluctuation is designed on the basis of an online alternate charging or discharging operation mode of energy storage of two groups of batteries by considering reduction of short-term wind power fluctuation deviation wind power prediction by utilizing energy storage, and a design method of battery capacity is provided. Aiming at the strong randomness of short-term wind power fluctuation, in combination with ANN energy, when an object model is unknown, nonlinear mapping of input and output is established, the deviation of wind power grid connection and prediction is utilized to adaptively adjust a neuron input weight, and the method for predicting and stabilizing short-term wind power fluctuation by the two-battery energy storage system based on ANN is provided. The method can effectively save the cyclic service life of the energy storage battery, achieves the better tracking and prediction of the short-term wind power fluctuation continuous component of the wind power integration, reduces the impact on the frequency modulation from the short-term continuous unidirectional fluctuation of the wind power, and improves the frequency stability and operation economy of a wind power system.

Description

technical field [0001] The invention relates to a control method for a wind-storage hybrid power station using energy storage to stabilize short-term wind power fluctuations, in particular to an online charging and discharging operation strategy and an energy storage capacity design method for using battery energy storage to stabilize short-term wind power fluctuations, and a method based on self-adaptive Neural Network Forecasting to Realize the Fast and Smooth Method of Short-term Wind Power Fluctuation. Background technique [0002] With the increase of the penetration rate of wind power in the power grid, the tertiary frequency regulation of the power grid also needs to consider short-term load and wind power forecast information when correcting the operating base point and participation factor of the unit. Due to the randomness of wind power fluctuations, there is an error with the predicted continuous component of wind power fluctuations in a short time scale. Therefor...

AI Technical Summary

Problems solved by technology

However, considering that the short-term wind power fluctuation amplitude and randomness increase due to the increase of wind power penetration rate, the energy storage wind power fluctuation controller designed based on linear control theory has the disadvantage of affecting the short-term wind power fluctuation smoothing effect due to the compensation lag, and How to avoid frequent switching of charging and discharging operation modes for energy storage to stabilize wind power fluctuations, make reasonable use of its cycle life, optimize the adjustment power and capacity range of energy storage systems, and improve the economical efficiency of energy storage operations are worthy of further study.

Images