Optimal Scheduling of Load Tap Changer and Switched Shunt Capacitors in Smart Grid with Electric Vehicles and Charging Stations

被引：0

作者：

Deilami, Sara ^{[1
]}

Masoum, Amir S. ^{[1
]}

Jabalameli, Nasim ^{[1
]}

Masoum, Mohammad A. S. ^{[1
]}

机构：

[1] Curtin Univ, Dept Elect & Comp Engn, Perth, WA 6845, Australia

来源：

2013 8TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO) | 2013年

关键词：

Smart grid; plug-in electric vehicle; charging stations; coordinated charging; LTC; optimal dispatch and GA; DISPATCH; ULTC;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Random charging of plug-in electric vehicles (PEVs) particularly during the peak load hours could impairment the performance of future smart grids. This paper presents genetic algorithms (GAs) for optimal scheduling of LTC and switched shunt capacitors (SSCs) to improve the performance of smart grid with PEV charging at consumer premises in residential feeders and PEV charging stations (PEV-CSs) in distribution networks. The forecasted daily load curves associated with PEV-CSs and residential feeders populated with PEVs are first generated and then incorporated in the GA-based optimal LTC and SSC scheduling solution. Simulation results without and with optimal scheduling are presented for a 449 node smart grid system with 5 PEV-CSs considering random and coordinated charging of 264 PEVs in 22 low voltage residential networks.

引用

页码：162 / 166

页数：5

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