基于移动平均法和风电波动率约束的电池储能系统平滑风电出力控制策略

陈跃燕,李相俊,韩晓娟,梁廷婷,惠 东

电力建设 ›› 2013, Vol. 34 ›› Issue (7) : 1-5.

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PDF(596 KB)
电力建设 ›› 2013, Vol. 34 ›› Issue (7) : 1-5.
重点理论研究

基于移动平均法和风电波动率约束的电池储能系统平滑风电出力控制策略

  •  
    陈跃燕1,李相俊2,韩晓娟1,梁廷婷3,惠 东2
作者信息 +

Control Strategy of Smoothing Wind Power Output Using Battery Energy   Storage Based on Moving Average Method and   Wind Power Volatility Rate Constraint

  • CHEN Yueyan1,LI Xiangjun2,HAN Xiaojuan1,LIANG Tingting3,HUI Dong2
Author information +
文章历史 +

摘要

利用电池储能系统平滑风电功率波动可以提高风力发电功率输出的稳定性。针对风电出力的间歇性和波动性,基于移动平均算法,在同时考虑储能系统的荷电状态(state of charge,SOC)和风电功率波动率的情况下提出了一种平滑风电功率控制策略,并与传统一阶低通滤波平滑风电功率方法进行对比。通过Matlab/Simulink仿真验证了该方法的有效性,在平滑风电并网功率的同时可以有效减少储能使用次数与储能能量。

Abstract

Using battery energy storage system (BESS) to smooth wind power volatility can improve the stability of wind power output. According to the intermittence and volatility of wind power output, a smoothing control strategy by using moving average algorithm for wind power was proposed, which took the state of charge (SOC) in energy storage system and wind power volatility rates into account. It was compared with the traditional first-order low-pass method for smoothing wind power output. The effectiveness of the proposed control strategy was verified with the MATLAB/SIMULINK simulation, whose results have shown that it can smooth the wind power output, and can effectively decrease the battery energy usage and storage energy.

关键词

可再生能源 / 储能系统 / 移动平均算法 / 平滑风电功率 / 风电波动率 / 荷电状态(SOC)

Key words

renewable energy / energy storage system / moving average algorithm / smoothing wind power / wind power volatility rate / state of charge (SOC)

引用本文

导出引用
陈跃燕,李相俊,韩晓娟,梁廷婷,惠 东. 基于移动平均法和风电波动率约束的电池储能系统平滑风电出力控制策略[J]. 电力建设. 2013, 34(7): 1-5
CHEN Yueyan,LI Xiangjun,HAN Xiaojuan,LIANG Tingting,HUI Dong. Control Strategy of Smoothing Wind Power Output Using Battery Energy   Storage Based on Moving Average Method and   Wind Power Volatility Rate Constraint[J]. Electric Power Construction. 2013, 34(7): 1-5

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基金

国家自然科学基金青年科学基金项目(51107126); 国家科技支撑计划项目(2011BAA07B01) ; 国家电网公司科技项目(DG71-12-012)。


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