DOI:10.35833/MPCE.2020.000624 Multi-timescale Affinely Adjustable Robust Reactive Power Dispatch of Distribution Networks Integrated with High Penetration of PV Page view: 22        Net amount: 92 Author: Peishuai Li1, Zaijun Wu2,3, Cuo Zhang4, Yan Xu5, Zhaoyang Dong4, Minqiang Hu2,3 Author Affiliation: 1.School of Automation, Nanjing University of Science and Technology, Nanjing, China 2.Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing, China 3.School of Electrical Engineering, Southeast University, Nanjing, China 4.School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia 5.School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore Foundation: This work was supported in part by the Scientific Research Foundation of Nanjing University of Science and Technology (No. AE89991/255), in part by Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Project, Southeast University, in part by the National Natural Science Foundation of China (No.51677025), and in part by the Science and Technology Project of State Grid Corporation (No. SGMD0000YXJS1900502). Abstract: Photovoltaic (PV) power generation has highly penetrated in distribution networks, providing clean and sustainable energy. However, its uncertain and intermittent power outputs significantly impair network operation, leading to unexpected power loss and voltage fluctuation. To address the uncertainties, this paper proposes a multi-timescale affinely adjustable robust reactive power dispatch (MTAAR-RPD) method to reduce the network power losses as well as alleviate voltage deviations and fluctuations. The MTAAR-RPD aims to coordinate on-load tap changers (OLTCs), capacitor banks (CBs), and PV inverters through a three-stage structure which covers multiple timescales of “hour-minute-second”. The first stage schedules CBs and OLTCs hourly while the second stage dispatches the base reactive power outputs of PV inverter every 15 min. The third stage affinely adjusts the inverter reactive power output based on an optimized Q-P droop controller in real time. The three stages are coordinately optimized by an affinely adjustable robust optimization method. A solution algorithm based on a cutting plane algorithm is developed to solve the optimization problem effectively. The proposed method is verified through theoretical analysis and numerical simulations. Keywords: Multi-timescale ; photovoltaic (PV) ; reactive power dispatch ; uncertainty ; affinely adjustable robust optimization Received:August 20, 2020               Online Time:2023/01/28 View Full Text       Download reader