基于面积判定法与动态门控网络的混合储能调频指令预测方法

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Abstract A hybrid energy storage frequency regulation instruction prediction method is proposed to address the problem of profit loss caused by instruction transmission delay in the joint frequency regulation of thermal-energy storage. The method combines area determination method with dynamic gated scaling gated recurrent unit (DGS-GRU). The traditional variational mode decomposition (VMD) method has false components, which affect the prediction accuracy. This method introduces the area determination method: firstly, the enclosed area between each subsequence after VMD decomposition and the time axis is calculated. Combined with the prediction error of the experimental group, a determination function is constructed to screen for false components. A grouping optimization strategy is adopted for false components: generating random replacement sequences from multiple false sequences, and implementing mean-based symmetry axis mirror reconstruction for single false sequences. The reconstructed subsequence is input into a DGS-GRU network for prediction, and finally overlaid to output the complete instruction. The experiment shows that compared with the traditional VMD-gated recurrent unit (GRU) model, this method reduces the mean absolute percentage error (MAPE) from 9.20% to 5.16% and effectively improves the frequency regulation revenue of power plants.

Key words： area determination method prediction frequency regulation energy storage

Received: 02 July 2025

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	Articles by authors
	LI Zhipeng
	JIANG Nan
	WU Pengyue
	SUN Guohui
	DONG Shuxin

Cite this article:

LI Zhipeng,JIANG Nan,WU Pengyue等. A hybrid energy storage frequency regulation instruction prediction method based on area determination method and dynamic gated network[J]. Electrical Engineering, 2025, 26(11): 11-17.

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https://dqjs.cesmedia.cn/EN/Y2025/V26/I11/11

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