A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization

Wenjie Zhang; Pritam Das; Dipti Srinivasan

doi:10.1109/CEC.2016.7744351

A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization

Wenjie Zhang
, Pritam Das
, Dipti Srinivasan

Electrical and Computer Eng

Binghamton University

National University of Singapore

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2016 IEEE Congress on Evolutionary Computation, CEC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4413-4420
Number of pages	8
ISBN (Electronic)	9781509006229
DOIs	https://doi.org/10.1109/CEC.2016.7744351
State	Published - Nov 14 2016
Event	2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, Canada Duration: Jul 24 2016 → Jul 29 2016

Publication series

Name	2016 IEEE Congress on Evolutionary Computation, CEC 2016

Conference

Conference	2016 IEEE Congress on Evolutionary Computation, CEC 2016
Country/Territory	Canada
City	Vancouver
Period	07/24/16 → 07/29/16

Keywords

Electric Vehicles
Particle Swarm Optimization
Reactive power dispatch
Voltage stability

Access to Document

10.1109/CEC.2016.7744351

Cite this

Zhang, W., Das, P., & Srinivasan, D. (2016). A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization. In 2016 IEEE Congress on Evolutionary Computation, CEC 2016 (pp. 4413-4420). Article 7744351 (2016 IEEE Congress on Evolutionary Computation, CEC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2016.7744351

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title = "A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization",

abstract = "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.",

keywords = "Electric Vehicles, Particle Swarm Optimization, Reactive power dispatch, Voltage stability",

author = "Wenjie Zhang and Pritam Das and Dipti Srinivasan",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Congress on Evolutionary Computation, CEC 2016 ; Conference date: 24-07-2016 Through 29-07-2016",

year = "2016",

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doi = "10.1109/CEC.2016.7744351",

language = "English",

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Zhang, W, Das, P & Srinivasan, D 2016, A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization. in 2016 IEEE Congress on Evolutionary Computation, CEC 2016., 7744351, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 4413-4420, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, Canada, 07/24/16. https://doi.org/10.1109/CEC.2016.7744351

A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization. / Zhang, Wenjie; Das, Pritam; Srinivasan, Dipti.
2016 IEEE Congress on Evolutionary Computation, CEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 4413-4420 7744351 (2016 IEEE Congress on Evolutionary Computation, CEC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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KW - Particle Swarm Optimization

KW - Reactive power dispatch

KW - Voltage stability

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BT - 2016 IEEE Congress on Evolutionary Computation, CEC 2016

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A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization

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