A Vehicle-to-Grid Based Reactive Power Dispatch Approach Using Particle Swarm Optimization

被引：0
|
作者：
Zhang, Wenjie [1 ]
Das, Pritam [1 ]
Srinivasan, Dipti [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore
来源：
2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2016年
关键词：
Electric Vehicles; reactive power dispatch; Particle Swarm Optimization; voltage stability; ALGORITHM; PHEV;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An emerging scenario of using Electric Vehicles to provide reactive power support arises as the population of Electric Vehicles (EVs) increases significantly. In view of this emerging scenario, a new application of Particle Swarm Optimization is proposed in this paper, which is adopting Particle Swarm Optimization (PSO) in Vehicle-to-Grid (V2G) based reactive power dispatch. Rather than utilizing reactive power support from central generators, the proposed method aims at increasing reactive power support from EVs, which are distributed. Case study on a modified IEEE 9-bus system is done and results show that the proposed method can bring convincing benefits on voltage stability and power loss in the overall power system.
引用
收藏
页码：4413 / 4420
页数：8
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