Key Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province (Yanshan University), Qinhuangdao 066004, China
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.
This work is supported by National Natural Science Foundation of China (No. 51877186) and Hebei Provincial Natural Science Foundation of China (No. E2018203358).
|||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|