Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Standard

Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid. / Cha, Seung-Tae; Saleem, Arshad; Wu, Qiuwei; Østergaard, Jacob.

47th Universities Power Engineering Conference, UPEC'2012. 2012.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Harvard

Cha, S-T, Saleem, A, Wu, Q & Østergaard, J 2012, 'Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid'. in 47th Universities Power Engineering Conference, UPEC'2012.

APA

Cha, S-T., Saleem, A., Wu, Q., & Østergaard, J. (2012). Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid. In 47th Universities Power Engineering Conference, UPEC'2012.

CBE

Cha S-T, Saleem A, Wu Q, Østergaard J. 2012. Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid. In 47th Universities Power Engineering Conference, UPEC'2012.

MLA

Vancouver

Cha S-T, Saleem A, Wu Q, Østergaard J. Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid. In 47th Universities Power Engineering Conference, UPEC'2012. 2012.

Author

Cha, Seung-Tae; Saleem, Arshad; Wu, Qiuwei; Østergaard, Jacob / Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid.

47th Universities Power Engineering Conference, UPEC'2012. 2012.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Bibtex

@inbook{49c646d712e547ba811a104c4430c892,
title = "Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid",
keywords = "Agent based PSO, Distributed Generation (DG), Islanding Operation, Java, Load Frequency Control, MAS, Microgrid, Optimization, Power System Control, RTDS",
author = "Seung-Tae Cha and Arshad Saleem and Qiuwei Wu and Jacob Østergaard",
year = "2012",
booktitle = "47th Universities Power Engineering Conference, UPEC'2012",

}

RIS

TY - GEN

T1 - Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid

A1 - Cha,Seung-Tae

A1 - Saleem,Arshad

A1 - Wu,Qiuwei

A1 - Østergaard,Jacob

AU - Cha,Seung-Tae

AU - Saleem,Arshad

AU - Wu,Qiuwei

AU - Østergaard,Jacob

PY - 2012

Y1 - 2012

N2 - This paper presents a Particle Swarm Optimization (PSO) based on multi-agent controller. Real-time digital simulator (RTDS) is used for modelling the power system, while a PSO based multi-agent LFC algorithm is developed in JAVA for communicating with resource agents and determines the scenario to stabilize the frequency and voltage after the system enters into the islanding operation mode. The proposed algorithm is based on the formulation of an optimization problem using agent based PSO. The modified IEEE 9-bus system is employed to illustrate the performance of the proposed controller via RTDS to verify its practical efficacy. Case studies are presented under different operating conditions.

AB - This paper presents a Particle Swarm Optimization (PSO) based on multi-agent controller. Real-time digital simulator (RTDS) is used for modelling the power system, while a PSO based multi-agent LFC algorithm is developed in JAVA for communicating with resource agents and determines the scenario to stabilize the frequency and voltage after the system enters into the islanding operation mode. The proposed algorithm is based on the formulation of an optimization problem using agent based PSO. The modified IEEE 9-bus system is employed to illustrate the performance of the proposed controller via RTDS to verify its practical efficacy. Case studies are presented under different operating conditions.

KW - Agent based PSO

KW - Distributed Generation (DG)

KW - Islanding Operation

KW - Java

KW - Load Frequency Control

KW - MAS

KW - Microgrid

KW - Optimization

KW - Power System Control

KW - RTDS

BT - 47th Universities Power Engineering Conference, UPEC'2012

T2 - 47th Universities Power Engineering Conference, UPEC'2012

ER -