Dynamic reconfiguration of distribution network based on expected value model
Konferenz: ECITech 2022 - The 2022 International Conference on Electrical, Control and Information Technology
25.03.2022 - 27.03.2022 in Kunming, China
Tagungsband: ECITech 2022
Seiten: 7Sprache: EnglischTyp: PDF
Autoren:
Li, Hongwei; Pan, Zhiyuan; Cui, Xiyou; Liu, Chaonan; Jing, Hui (State Grid of China Technology College, Jinan Shandong, China)
Wang, Wei (Shandong University of Science and Technology College of Intelligent Equipment, Tai’an, Shandong, China)
Inhalt:
A heuristic method for dynamic reconfiguration of distribution network with renewable energy based on expected value model is proposed. Based on Monte Carlo simulation, typical scenarios are generated and the expected value model of dynamic reconfiguration of distribution network is established. On the basis of static reconstruction using the improved optimal flow mode method, heuristic rules for the ratio of network loss increment to change of switching operation times after network structure merging in adjacent time periods are proposed to reduce the switching operation times and obtain the optimal or approximate optimal dynamic reconstruction scheme. The effectiveness of the proposed method is verified by simulation of IEEE 33 node system with renewable energy.