Fast Service Restoration of Multi-Source Active Distribution Network with Microgrids and Electric Vehicles-Reference-Cited by-同舟云学术

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

Published:2014-10 Issue: Volume:672-674 Page:1175-1178
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Fan Guang Min¹,Guo Ling Xu¹,Liang Wei¹,Qie Hong Tao¹

Affiliation:

1. State Grid Tianjin Electric Power Company

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

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.672-674.1175.pdf

Reference10 articles.

1. T. Nagata, H. Sasaki, R. Yokoyama, Power system restoration by joint usage of expert system and mathematical programming approach, IEEE Trans. Power Syst., vol. 10, no. 3, p.1473–1479, (1995).

2. Y. F. Mu, H. J. Jia, An approach to determining the local boundaries of voltage stability region with wind farms in power injection space, SCIENCE CHINA Technological Sciences, vol. 53, no. 12, p.3232–3240, (2010).

3. H. J. Jia, Y. Qi, Y. F. Mu, Frequency response of autonomous microgrid based on family-friendly controllable loads, SCIENCE CHINA Technological Sciences, vol. 56, no. 3, p.693–702, (2013).

4. Y. F. Mu, J. Z. Wu, J. Ekanayake et al., Primary frequency response from electric vehicles in the Great Britain powersystem, IEEE Transactions on Smart Grid, vol. 4, no. 2, p.1142–1150, (2013).

5. Y. F. Mu, J. Z. Wu J, N. Jenkins, et al., A Spatial–temporal model for grid impact analysis of plug-in electric vehicles, Applied Energy, vol. 114, p.456–465, (2014).