Title :
A multi-level service restoration strategy of distribution network considering microgrids and electric vehicles
Author :
Hongjie Jia ; Xiaolong Jin ; Yunfei Mu ; Xiaodan Yu
Author_Institution :
Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
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 multi-level service restoration strategy of distribution network with MGs and EVs is proposed in this paper, which makes full use of the power supply capability from MGs and EVs. An optimal power flow (OPF) model is constructed to minimize the network loss after the service restoration. The proposed service restoration method is verified by applying a single fault on a modified IEEE distribution system with three-feeder and eighteen nodes containing MGs and EVs, which shows its feasibility and effectiveness.
Keywords :
distributed power generation; distribution networks; electric vehicles; load flow; power supply quality; power system restoration; active characteristics; distribution network; electric vehicles; energy crisis; environmental pollution problems; microgrids; modified IEEE distribution system; multilevel service restoration strategy; multisource characteristics; network loss; optimal power flow model; power supply capability; Equations; Genetic algorithms; Load flow; Load modeling; Mathematical model; Simulation; System-on-chip; Distribution Network; Electric vehicles (EVs); Microgrids (MGs); Optimal power flow (OPF); Service restoration;
Conference_Titel :
Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference on
Conference_Location :
Taipei
DOI :
10.1109/IGBSG.2014.6835266
