电力市场环境下考虑风电调度和调频极限的储能优化控制

doi:10.19595/j.cnki.1000-6753.tces.200879

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摘要风电功率间歇性不仅使风电场难以精确响应调度计划,还导致电网频率波动加剧。为提高风电可调度性和电网频率安全,该文以日前调度为例构建日前调度计划和电网调频极限的形成方法,在此基础上提出利用储能辅助风电场跟踪日前调度计划并参与调频的策略;然后在电力市场环境下以风储电站利润最大为目标建立风储运行模型,该模型考虑由所提策略形成的风储电站联合出力约束和频率安全约束,用来计算储能辅助风电场跟踪日前调度计划和参与调频的最优出力;最后基于实测数据对该策略进行仿真分析,结果表明所提策略可以提高风电场跟踪日前调度计划能力和电网频率安全性,同时还具有良好的经济效益。

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	李军徽
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关键词 ：电池储能系统, 日前调度计划, 调频极限, 调频辅助服务, 优化控制

Abstract：The intermittency of wind power not only makes it difficult for the wind farm to respond to the day-ahead scheduling plan(DASP) accurately, but also aggravates the frequency fluctuation of power system. In order to improve the schedulability of wind power and the security of power system frequency, this paper taking day-ahead scheduling as an example constructed the formation method of the DASP and the modulation frequency limitation of the power system. Based on this, a control strategy of energy storage was proposed which combined energy storage assisting wind farm tracking the DASP with participating in frequency modulation. Then, a wind-energy storage(WES) operation model was established under the electricity market environment to maximize the profit of the WES station. The combined output power constraint of WES station and the frequency security constraint which formed by the proposed strategy were considered in the model. This model can calculate the optimal output power of the energy storage which are used to tracking DASP and participating in frequency modulation. Simulation verification was carried out based on actual measurement data. Test results show that the proposed strategy can improve the ability of wind farm tracking DASP and the security of frequency. At the same time, it also has good economic benefits.

Key words： Battery energy storage system (BESS) day-ahead scheduling plan(DASP) modulation frequency limitation frequency modulation auxiliary service optimal control

收稿日期: 2020-07-19

PACS:	TM712
	TM732

基金资助:国家自然科学基金委员会-国网公司智能电网联合基金（U1766204）和中央引导地方科技发展资金吉林省重点实验室基础研究专项（202002005JC）资助项目

通讯作者: 李军徽男,1976年生,博士,教授,硕士生导师,研究方向为新能源发电联网运行关键技术和储能技术的应用。E-mail：lijunhui@neepu.edu.cn

作者简介: 侯涛男,1996年生,硕士研究生,研究方向为储能技术在新能源发电中的应用。E-mail：hthoutao@sina.cn

引用本文:

李军徽, 侯涛, 穆钢, 严干贵, 李翠萍. 电力市场环境下考虑风电调度和调频极限的储能优化控制[J]. 电工技术学报, 2021, 36(9): 1791-1804. Li Junhui, Hou Tao, Mu Gang, Yan Gangui, Li Cuiping. Optimal Control Strategy for Energy Storage Considering Wind Farm Scheduling Plan and Modulation Frequency Limitation under Electricity Market Environment. Transactions of China Electrotechnical Society, 2021, 36(9): 1791-1804.

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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.200879 https://dgjsxb.ces-transaction.com/CN/Y2021/V36/I9/1791

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