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含超前控制的风储系统滚动最优控制策略

李滨 李倍存 陈碧云

电力系统自动化2019,Vol.43Issue(4):25-32,8.
电力系统自动化2019,Vol.43Issue(4):25-32,8.DOI:10.7500/AEPS20180302002

含超前控制的风储系统滚动最优控制策略

Rolling Optimal Control Strategy with Lead Control for Wind Power and Energy Storage Systems

李滨 1李倍存 1陈碧云1

作者信息

  • 1. 广西电力系统最优化与节能技术重点实验室(广西大学), 广西壮族自治区南宁市 530004
  • 折叠

摘要

Abstract

The new round of power system reformation requires further improvement on the capability of wind power tracking plan.The battery energy storage system (BESS) provides a way for this but the cost is high.To enhance the economy, an optimal control strategy for wind farms equipped with BESS is proposed, which contains an optimal control model as the core, and a rolling optimization algorithm with lead control.The proposed optimal control model takes the minimization of numbers of BESS orders as its objective, and contains statistical control effect constraints and BESS operation constraints including state of charge and dead band.The rolling optimization algorithm utilizes the ultra-short-term wind power prediction (WPP) to perform a real-time lead control within each 10 min evaluation period of statistical control effect, and continuously correct the impact of prediction error, ensuring all constraints to be satisfied.Finally, the simulation results show that the proposed control strategy does improve the accuracy of wind power tracking plan and reduce numbers of BESS orders under this premise.Besides, it has anti-interference feature against ultra-short-term WPP error.

关键词

电池储能系统/控制策略/滚动优化/风电

Key words

battery energy storage system (BESS)/control strategy/rolling optimization/wind power

引用本文复制引用

李滨,李倍存,陈碧云..含超前控制的风储系统滚动最优控制策略[J].电力系统自动化,2019,43(4):25-32,8.

基金项目

国家自然科学基金资助项目(51767004) (51767004)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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