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电力电子节能与传动控制河北省重点实验室(燕山大学),河北省秦皇岛市 066004
崔屹峰(1991—),男,硕士研究生,主要研究方向:温控负荷、需求侧管理。E-mail:tyut-cyf@foxmail.com
李珍国(1973—),男,通信作者,博士,副教授,硕士生导师,主要研究方向:电力电子与电力传动。E-mail:lzg@ysu.edu.cn
魏思雨(1998—),女,硕士研究生,主要研究方向:智能电网、需求侧管理。E-mail:weisiyu1998@sina.com
收稿日期:2021-03-10,
修回日期:2021-06-22,
网络出版日期:2021-08-03,
纸质出版日期:2021-10-10
移动端阅览
崔屹峰,李珍国,魏思雨等.面向需求响应的温控负荷单元随机选择模型[J].电力系统自动化,2021,45(19):126-132.
CUI Yifeng,LI Zhenguo,WEI Siyu,et al.Random Selection Model of Thermostatically Controlled Load Units for Demand Response[J].Automation of Electric Power Systems,2021,45(19):126-132.
崔屹峰,李珍国,魏思雨等.面向需求响应的温控负荷单元随机选择模型[J].电力系统自动化,2021,45(19):126-132. DOI: 10.7500/AEPS20210310002.
CUI Yifeng,LI Zhenguo,WEI Siyu,et al.Random Selection Model of Thermostatically Controlled Load Units for Demand Response[J].Automation of Electric Power Systems,2021,45(19):126-132. DOI: 10.7500/AEPS20210310002.
温控负荷(TCL)是电网中重要的需求响应资源,一般以集群的形式参与电网负荷调控。在集群中选取适当的单元进行控制是TCL参与电网负荷调控的关键环节之一。考虑信息交互效率、用户参与意愿差异等因素,提出了一种TCL单元随机选择模型。为多种TCL类型建立了通用的归一化温度状态指标;以归一化温度状态作为响应优先级评价的主要参考指标,并引入用户参与意愿系数,构建了TCL单元受控概率函数,给出了能保障用户体验并准确实现调控目标的TCL单元随机选择算法和基于集群状态统计信息和控制信号广播的TCL单元随机选择流程。通过算例仿真对所提模型的有效性进行了验证。
Thermostatically controlled load (TCL) is a valuable demand response resource of the power grid
which usually participates in load regulation in the form of clusters. Selecting the appropriate units in the cluster is one of the critical links for TCL to participate in the load regulation of the power grid. Considering the efficiency of information interaction and the difference between users' participation willingness
this paper proposes a random selection model for TCL units. A general normalized temperature state index is established for various TCL types. Taking the normalized temperature state as the main reference of response priority evaluation and introducing participation willingness coefficient
the controlled probability function of the TCL units is constructed. A random selection algorithm of TCL units is proposed
which can guarantee the user experience and perform the regulation target accurately. The random selection process of TCL units based on cluster status statistics and control signal broadcast is designed. Through the example simulation
the effectiveness of the proposed model is verified.
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