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基于EWT的分布式光储PCC功率波动自适应平抑方法

马万硕 高厚磊 张运驰 刘震 彭放

电力系统保护与控制2024,Vol.52Issue(3):51-61,11.
电力系统保护与控制2024,Vol.52Issue(3):51-61,11.DOI:10.19783/j.cnki.pspc.230333

基于EWT的分布式光储PCC功率波动自适应平抑方法

Adaptive PCC power fluctuation smoothing method based on EWT for distributed PV-energy storage

马万硕 1高厚磊 1张运驰 1刘震 1彭放1

作者信息

  • 1. 山东大学电气工程学院,山东 济南 250061
  • 折叠

摘要

Abstract

The aggregated power of distributed PV at the point of common coupling(PCC)on the AC side has large randomness and volatility,affecting the stable operation of the grid.To help combat this,an adaptive PCC power fluctuation smoothing method based on empirical wavelet transform(EWT)is proposed.First,this paper focuses on a typical scenario of a hybrid energy storage system(HESS)and distributed PV access to the PCC.After analyzing the characteristics of the EWT adaptive processing waveform,and combining with the power fluctuation rate and energy storage element response characteristics,the EWT decomposition and optimal correction of the original PV aggregated power are applied to achieve HESS primary power distribution.Then to avoid the HESS state of charge(SOC)from frequently crossing its limit,an active power compensation control is proposed to make it work within the safe range by actively changing the energy storage reference signal.A simulation example combined with actual data shows that the smoothing method can adaptively realize reasonable decomposition and power distribution of PV output and effectively meet the requirements of grid-connected power fluctuation while extending the service life of energy storage.This provides a new idea for smoothing PV output power fluctuation.

关键词

分布式光伏/混合储能系统/经验小波变换/平抑功率波动/荷电状态控制

Key words

distributed photovoltaic/hybrid energy storage system/empirical wavelet transform/smoothing power fluctuations/stage of charge(SOC)control

引用本文复制引用

马万硕,高厚磊,张运驰,刘震,彭放..基于EWT的分布式光储PCC功率波动自适应平抑方法[J].电力系统保护与控制,2024,52(3):51-61,11.

基金项目

This work is supported by the National Natural Science Foundation of China(No.51877127). 国家自然科学基金项目资助(51877127) (No.51877127)

电力系统保护与控制

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