基于动态指数加权滤波算法的风光储场站功率平滑控制策略研究

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Abstract As the proportion of new energy sources in the power grid continues to increase, the fluctuating nature of wind and solar resources significantly impacts the safety and stability of the grid. To address this issue, this paper proposes a proportional-integral (PI) closed-loop adaptive exponentially weighted moving average filtering algorithm based on the power fluctuation rate at the grid connection points of renewable energy plants, utilizing the rapid response and stabilization characteristics of energy storage systems. First, this paper summarizes the existing power smoothing methods for renewable energy plants and highlights their limitations. Then, a simplified mathematical model of the grid-connected power of wind-solar-storage plants is established, and a PI closed-loop adaptive exponentially weighted moving average filtering algorithm is proposed, detailing its implementation in renewable energy plants. Finally, a simulation model for the wind-solar-storage plant is constructed using Matlab/Simulink to verify the effectiveness of the proposed control algorithm.

Key words： renewable energy plant filtering algorithm adaptive power smoothing control strategy

Received: 11 October 2025

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	Articles by authors
	WU Xuechong
	LI Renshi
	WEI Qing
	DONG Lianxin
	LIN Zhongwei

Cite this article:

WU Xuechong,LI Renshi,WEI Qing等. Research on power smoothing control strategy for wind-solar-storage plants based on dynamic exponentially weighted filtering algorithm[J]. Electrical Engineering, 2026, 27(7): 1-8.

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https://dqjs.cesmedia.cn/EN/Y2026/V27/I7/1

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