功率曲线分解方法研究综述

doi:10.19799/j.cnki.2095-4239.2025.0502

摘要/Abstract

摘要：

在风光电并网遭遇诸多挑战的背景下，储能技术作为提升新能源消纳能力、增强电力系统调节灵活性的关键手段，其功率曲线分解方法也逐步被应用到混合储能配置优化问题中。本文阐述了多种储能功率曲线分解技术的研究及其在储能领域的相关应用，包括传统曲线分解方法和以方波基为基底的曲线分解方法。首先，本文回顾了4种传统功率曲线分解方法，并介绍了相关研究人员在储能技术领域的应用，分析了国内外的研究现状，指出了目前研究在适配混合储能特性方面仍存在一定不足，得出了需根据储能装置在充放电过程中具有快速存储和释放电能，以及单一储能装置的功率曲线呈现矩阵波形的特性进行配置的结论。本文提出了基于3种以方波基为变换形式的变换储能功率曲线分解、变换和分析方法，并介绍了其基本原理与其在储能配置中的应用。最后，针对当前储能功率曲线分解仍存在的问题，本文做了相关的总结与展望。本文为储能配置优化提供理论支持，对于提升储能功率曲线分解的精准性、保障储能系统在不同运行场景下发挥最优效用具有重要意义。

关键词: 功率曲线分解, 正交非连续基函数, 傅里叶变换, 小波变换, Walsh变换

Abstract:

Against the backdrop of numerous challenges in integrating wind and photovoltaic power into the grid, the development of energy storage technology has emerged as a key means of enhancing renewable energy utilization and strengthening the operational flexibility of power systems. Power curve decomposition methods are increasingly being used to optimize hybrid energy storage configurations. This report explores various power curve decomposition techniques for energy storage and their applications in the energy storage field, including traditional decomposition methods and those based on square-wave foundations. First, four traditional power curve decomposition methods are reviewed: Fourier-transform, wavelet packet decomposition, empirical mode decomposition, and low-pass filtering. The applications of these methods in the energy storage field, as explored by relevant researchers, are also introduced and the current research landscape is analyzed at both the national and international levels. The report highlights existing gaps in adapting these methods to the characteristics of hybrid energy storage systems. It concludes that configurations must be designed to enable energy storage devices to rapidly store and release electrical energy during charging and discharging, and that the power curve of a single storage device often exhibits a waveform with matrix-like characteristics. A method for decomposing, transforming, and analyzing energy storage power curves is proposed based on three transformations with a square-wave base, and the application in energy storage configuration is discussed. Finally, the current challenges in the decomposition of energy storage power curves are summarized and prospects for future research are proposed. The findings provide theoretical support for optimizing energy storage configurations, improving the accuracy of power curve decomposition, and optimizing the performance of energy storage systems in various operational scenarios.

Key words: power curve decomposition, orthogonal non-continuous basis functions, Fourier transform, wavelet transform, Walsh transform

中图分类号:

TM 73

刘谭盈, 孙振新, 魏良杰, 刘辉, 张利平, 王础. 功率曲线分解方法研究综述[J]. 储能科学与技术, 2025, 14(8): 3065-3077.

Tanying LIU, Zhenxin SUN, Liangjie WEI, Hui LIU, Liping ZHANG, Chu WANG. A review of power curve decomposition techniques for energy storage systems[J]. Energy Storage Science and Technology, 2025, 14(8): 3065-3077.

图/表 5

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