基于需求响应潜力时变性的风火荷协同控制方法

doi:10.19595/j.cnki.1000-6753.tces.180599

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摘要随着可再生能源并网容量的不断提高,可利用智能需求响应技术提升电网消纳可再生能源的能力,但如何定量评估具有时变特性的需求响应潜力（DRP）是一个亟待解决的问题。该文提出一种考虑DRP时变性的风电、火电和负荷实时协同控制技术,以实现风电功率的最大消纳。首先,基于空调、热水器和电动汽车等智能家电的动态运行特性,建立智能家电的聚合响应数学模型;其次,在分析DRP时变特性的基础上提出DRP的定量计算方法;最后,综合考虑风电波动性、火电机组爬坡特性、DRP时变性以及电力网络潮流越限等约束,提出风火荷协同控制优化方法,以实现风电功率消纳的最大化。仿真算例结果表明该文所提方法的有效性和合理性。

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	宁佳
	汤奕
	高丙团

关键词 ：需求响应, 风电消纳, 协同控制, 时变特性

Abstract：With the increasing grid-connected capacity of renewable energy, the smart demand response (DR) is utilized to improve the capability of renewable energy accommodation. However, how to quantitatively evaluate the time-varying demand response potential (DRP) is an urgent problem to be solved. This paper proposes a coordinated real-time control method of wind farm, AGC units and loads considering the time-varying characteristics of DRP to realize the maximum of wind power utilization. Firstly, the aggregated mathematical models are built based on the dynamic operating characteristics of air conditioning, water heater and electric vehicle. Secondly, the quantitative method is presented on the basis of analyzing the time-varying characteristics of DRP. Finally, with the comprehensive consideration of wind fluctuation, AGC units ramp feature, time-varying DRP, and power flow transmission constraint, an optimal coordinated method of wind farm, AGC units and loads is proposed to maximize the wind accommodation. Simulation case studies show the effectiveness and rationality of the proposed method.

Key words： Demand response wind accommodation coordinated control time-varying characteristics

收稿日期: 2018-04-13 出版日期: 2019-05-05

PACS:

TM734

基金资助:国家自然科学基金重点项目（51577030）,国家重点研发计划（基础研究类2017YFB0903000）,南京工程学院高层次引进人才科研启动基金（YKJ201820）资助项目

通讯作者: 宁佳女,1992年生,讲师,研究方向为电力系统稳定分析,新能源发电系统控制,需求响应。E-mail: ningjia@seu.edu.cn

作者简介: 汤奕男,1977年生,副教授,博士生导师,研究方向为电力系统安全稳定分析,信息物理融合系统。E-mail: tangyi@seu.edu.cn

引用本文:

宁佳, 汤奕, 高丙团. 基于需求响应潜力时变性的风火荷协同控制方法[J]. 电工技术学报, 2019, 34(8): 1728-1738. Ning Jia, Tang Yi, Gao Bingtuan. Coordinated Control Method of Wind Farm-AGC Unit-Load Based on Time-Varying Characteristics of Demand Response Potential. Transactions of China Electrotechnical Society, 2019, 34(8): 1728-1738.

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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.180599 https://dgjsxb.ces-transaction.com/CN/Y2019/V34/I8/1728

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