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基于参数辨识与状态估计的温控负荷响应能力动态评估
作者:
作者单位:

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

摘要:

温控负荷在通过需求响应提供电网辅助服务方面蕴含着巨大潜力,但负荷单元数量多、位置分散、状态变化快等特点为温控负荷的管理与开发增加了难度。为便于负荷管理中心掌握温控负荷的响应能力,进行实时的响应控制和调度优化,提出一种温控负荷响应能力动态评估方法。针对大量温控负荷响应能力相关信息获取困难的问题,提出了模型参数辨识方法和运行状态估计算法;为有效评估负荷集群响应能力,提出了考虑响应功率和响应时长2个能力指标的集群响应能力聚合算法;设计了温控负荷响应能力动态评估流程,分别在用户本地端和负荷管理中心实现响应能力的精确计算和简化估计,并通过周期性同步消除累积误差。仿真分析表明,所提方法的评估结果能够表征温控负荷的需求响应能力。

关键词:

基金项目:

国家自然科学基金资助项目(51877186);河北省自然科学基金资助项目(E2018203358)。

通信作者:

作者简介:

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
贾清泉(1970—),男,博士,教授,博士生导师,主要研究方向:电能质量监测与控制、分布式电源与微电网。E-mail:jiaqingquan@sina.com


Dynamic Evaluation of Response Potential of Thermostatically Controlled Load Based on Parameter Identification and State Estimation
Author:
Affiliation:

Key Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province (Yanshan University), Qinhuangdao 066004, China

Abstract:

Thermostatically controlled load (TCL) has great potential in providing ancillary service of power grids through demand response. However, the characteristics of large number of load units, scattered locations and fast state changes make the management and development of TCL more difficult. In order to facilitate the load management center to obtain the TCL response potential and optimize the response control and scheduling in real time, a dynamic evaluation method of TCL response potential is proposed. In this paper, a model parameter identification method and operation state estimation algorithm are proposed to settle the difficulty in obtaining information related to response potential of a large amount of TCL. In order to effectively evaluate the response potential of TCL population, a response potential aggregate algorithm is proposed considering the response power and the duration. A dynamic evaluation process of TCL response potential is designed to achieve accurate calculation at the users' end and simplified estimation at the load management center, and to eliminate the cumulative error through periodic synchronization. The simulation results show that the evaluation results of the proposed method can characterize the demand response potential of TCL.

Keywords:

Foundation:
This work is supported by National Natural Science Foundation of China (No. 51877186) and Hebei Provincial Natural Science Foundation of China (No. E2018203358).
引用本文
[1]崔屹峰,李珍国,贾清泉,等.基于参数辨识与状态估计的温控负荷响应能力动态评估[J].电力系统自动化,2021,45(1):150-158. DOI:10.7500/AEPS20200629009.
CUI Yifeng, LI Zhenguo, JIA Qingquan, et al. Dynamic Evaluation of Response Potential of Thermostatically Controlled Load Based on Parameter Identification and State Estimation[J]. Automation of Electric Power Systems, 2021, 45(1):150-158. DOI:10.7500/AEPS20200629009.
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  • 收稿日期:2020-06-29
  • 最后修改日期:2020-09-14
  • 录用日期:
  • 在线发布日期: 2021-01-05
  • 出版日期:
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