Demand-side Management Based on Model Predictive Control in Distribution Network for Smoothing Distributed Photovoltaic Power Fluctuations

作     者：Jian Xu Haobo Fu Siyang Liao Boyu Xie Deping Ke Yuanzhang Sun Xiong Li Xiaotao Peng Jian Xu;Haobo Fu;Siyang Liao;Boyu Xie;Deping Ke;Yuanzhang Sun;Xiong Li;Xiaotao Peng

作者机构：IEEE School of Electrical Engineering and AutomationWuhan UniversityWuhan 430072China Power Dispatching and Control Center of State Grid Jibei Electric Power Company LimitedBejing 100054China 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2022年第10卷第5期

页      面：1326-1336页

核心收录：

学科分类：08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：supported by the National Natural Science Foundation of China (No. U2066601) 

主　　题：Demand-side management multi-time-scale optimization power fluctuation smoothing load control model predictive control(MPC) 

摘      要：With the rapid increase of distributed photovoltaic(PV) power integrating into the distribution network(DN), the critical issues such as PV power curtailment and low equipment utilization rate have been caused by PV power fluctuations. DN has less controllable equipment to manage the PV power fluctuation. To smooth the power fluctuations and further improve the utilization of PV, the regulation ability from the demandside needs to be excavated. This study presents a continuous control method of the feeder load power in a DN based on the voltage regulation to respond to the rapid fluctuation of the PV power output. PV power fluctuations will be directly reflected in the point of common coupling(PCC), and the power fluctuation rate of PCCs is an important standard of PV ***, a demand-side management strategy based on model predictive control(MPC) to mitigate the PCC power fluctuation is proposed. In pre-scheduling, the intraday optimization model is established to solve the reference power of PCC. In real-time control, the pre-scheduling results and MPC are used for the rolling optimization to control the feeder load demand. Finally,the data from the field measurements in Guangzhou, China are used to verify the effectiveness of the proposed strategy in smoothing fluctuations of the distributed PV power.