Energy Storage Management of Wind Power Based on Sliding Filtering and Fuzzy Control

YANG Meng; CHEN Jie; YAN Yaling; TENG Yangxin; WANG Yingjie

doi:10.14044/j.1674-1757.pcrpc.2019.06.033

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Energy Storage Management of Wind Power Based on Sliding Filtering and Fuzzy Control

更新时间：2024-09-14

- Energy Storage Management of Wind Power Based on Sliding Filtering and Fuzzy Control
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 40, Issue 6, Pages: 196-201(2019)
- 作者机构：
  
  1. 新疆大学电气工程学院
  2. 国网新疆电力有限公司电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2019.06.033
  CLC： TM614
- Published：2019，
- 稿件说明：
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[1]杨蒙,陈洁,闫亚玲,滕扬新,王英杰.基于滑动滤波和模糊控制的风电储能能量管理[J].电力电容器与无功补偿,2019,40(06):196-201.

YANG MENG, CHEN JIE, YAN YALING, et al. Energy Storage Management of Wind Power Based on Sliding Filtering and Fuzzy Control. [J]. Power capacitor & reactive power compensation, 2019, 40(6): 196-201.
[1]杨蒙,陈洁,闫亚玲,滕扬新,王英杰.基于滑动滤波和模糊控制的风电储能能量管理[J].电力电容器与无功补偿,2019,40(06):196-201. DOI： 10.14044/j.1674-1757.pcrpc.2019.06.033.

YANG MENG, CHEN JIE, YAN YALING, et al. Energy Storage Management of Wind Power Based on Sliding Filtering and Fuzzy Control. [J]. Power capacitor & reactive power compensation, 2019, 40(6): 196-201. DOI： 10.14044/j.1674-1757.pcrpc.2019.06.033.

摘要

为平滑风电出力

在分析风功率频谱特性的基础上

以提高混合储能系统使用寿命为目标

本文提出滑动滤波与模糊控制相结合的风储能能量管理控制策略。首先

利用低通滤波原理对风功率波动率进行平抑得到低频并网分量。其次

采用滑动滤波算法对高频分量进行分解

以混合储能系统充放电次数最小为优化目标

得到分别满足化学电池与超级电容充放电响应频率的功率分量。最后在Matlab/Simulink中搭建模糊控制仿真模型

分别对两种储能设备荷电状态进行优化

防止其过充过放

结果表明该控制策略的有效性

具有实际工程意义。

Abstract

For smoothing wind power output and with aim of improving the operation life of hybrid energy storage system

in this paper the wind storage energy management and control strategy which combines sliding filtering and fuzzy control is proposed on the basis of analyzing the spectral characteristic of wind power.First

the wind power fluctuation rate is leveled through low pass filtering principle so to obtain low frequency grid connected component. Secondly

the sliding filtering algorithm is adopted to decompose the highfrequency components

and the minimum charge and dischargenumber of the hybrid energy storage system is taken as the optimization objective to obtain the power components satisfying the charge-discharge response frequency of the chemical battery and the super capacitor

respectively. Finally

a fuzzy control simulation model is built in Matlab/Simulink to optimize the charged state of two energy storage devices respectively to prevent overcharging and over discharge. It is shown by the result that the control strategy is effectiveandisofpracticalengineeringsignificance.

关键词

风电功率波动性储能系统充放电次数荷电状态

Keywords

wind power fluctuationenergy storage systemcharge and discharge timesstate of charge

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