基于卡尔曼滤波法 平抑风光波动与ICEEMDAN储能功率分配

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中图分类号：TM7 文献标志码：A 文章编号：2097-3853（2025）03-0260-09

Abstract：To mitigate the impact of wind and solar power fluctuations and ensure the stability of power system，a smoothing strategy for mixed energy storage power is proposed.This strategy combines Kalman filtering with average reduction and MODBO-ICEEMDAN decomposition techniques.When applied to wind and solar power systems，the method uses the Kalman filtering algorithm to manage power fluctuations at a 1- minute scale for grid connection. It incorporates an AFD smoothing step to address limit points and achieve power fluctuations at both 1-minute and 10-minute scales.The optimal Nstdand ME parameters are obtained by MODBO algorithm for ICEEMDAN optimization. The high and low frequency of the hybrid energy storage power is reconstructed by the grey correlation analysis method and redistributed to the supercapacitor and the battery.The goal of this strategy is to minimize the annual comprehensive cost of mixed energy storage， optimize energy storage capacity，enhance the rationality of mixed power distribution，and improve the security and economic eficiency of the energy storage system. Experimental results illustrate the complementary characteristics between wind and solar power integration in microgrid connections.

Keywords：wind-solar fluctuations；hybrid energy storage；dung betle optimizer；empirical mode decomposition; Kalman filtering

针对双碳目标，中国逐步推进能源转型建设，创建以新能源为主的新型电力系统[1]。（剩余9969字）