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用于提高风电场可调度性的储能系统预测控制策略

杨德友 温佳鑫 陈家荣 蔡国伟

高电压技术2017,Vol.43Issue(3):1043-1048,6.
高电压技术2017,Vol.43Issue(3):1043-1048,6.DOI:10.13336/j.1003-6520.hve.20170303048

用于提高风电场可调度性的储能系统预测控制策略

Smoothing and Dispatching the Output of Wind/Battery Energy Storage Hybrid System via Model Prediction Control

杨德友 1温佳鑫 2陈家荣 2蔡国伟1

作者信息

  • 1. 东北电力大学电气工程学院,吉林132012
  • 2. 香港理工大学电机工程学系,香港999077
  • 折叠

摘要

Abstract

The application of large-scale energy storage makes wind farms more dispatchable,which lowers operating risks of the grid from interconnected large scale wind farms.In order to make full use of flexibility and controllability of energy storage to improve the schedulability of wind farms,we put forward a rolling and dispatching control strategy with a BESS based on model predictive control (MPC).The proposed control scheme firstly plans expected output,i.e.dispatching order of wind/battery energy storage hybrid system based on the predicted output of the wind farm,then calculates the order in the predictive horizon with the receding horizon optimization and the limitations of energy storage such as state of charge and depth of charge/discharge to maintain the combination of active output of the wind farm and the BESS to track dispatching order at the extreme.Moreover,we analyze the effectiveness of the proposed strategy with different sizes of capacity of the BESS based on the actual output of a certain wind farm in the northeast of China.The results show that the proposed strategy that controls the BESS can improve the schedulability of the wind farm and maintain smooth output of wind/battery energy storage hybrid system meanwhile tracking the dispatching order.

关键词

储能系统/风电/模型预测控制/合成输出/调度指令

Key words

battery energy storage/wind power/model prediction control/combination active output/dispatching order

引用本文复制引用

杨德友,温佳鑫,陈家荣,蔡国伟..用于提高风电场可调度性的储能系统预测控制策略[J].高电压技术,2017,43(3):1043-1048,6.

基金项目

国家自然科学基金项目(51507028 ()

51377017).Project supported by National Natural Science Foundation of China (51507028,51377017). (51507028,51377017)

高电压技术

OA北大核心CSCDCSTPCD

1003-6520

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