Fast Service Restoration of Multi-Source Active Distribution Network with Microgrids and Electric Vehicles

Abstract:

The increasingly serious energy crisis and environmental pollution problems promote the large-scale application of microgrids (MGs) and electric vehicles (EVs). As the main carrier of MGs and EVs, distribution network is gradually presenting multi-source and active characteristics. A fast service restoration method of multi-source active distribution network with MGs and EVs is proposed in this paper for service restoration of distribution network, which takes effectiveness, rapidity, economy and reliability into consideration. Then, different optimal power flow (OPF) models for the service restoration strategy are constructed separately to minimize the network loss after service restoration. In addition, a genetic algorithm was introduced to solve the OPF model. The analysis of the service restoration strategy is carried out on an IEEE distribution system with three-feeder and eighteen nodes containing MGs and EVs, and the feasibility and effectiveness are verified

• Periodical: Applied Mechanics and Materials (Volumes 672-674)
• Pages: 1175-1178
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.672-674.1175
• Online since: October 2014
• Authors: Guang Min Fan*, Ling Xu Guo, Wei Liang, Hong Tao Qie
• Keywords: Distribution Network, Electric Vehicle (EV), Genetic Algorithm (GA), Microgrids (MGs), Optimal Power Flow (OPF), Restoration

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