Agent based Particle Swarm Optimization (PSO) for Secondary Load Frequency Control in Islanded Operation

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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@article{cc2220a11f0a4255ad4406b382b13ce6,
title = "Agent based Particle Swarm Optimization (PSO) for Secondary Load Frequency Control in Islanded Operation",
keywords = "Agent based PSO, Secondary Load Frequency Control, Software-in-the-loop, RTDS, Java, Islanded Operation, Power System Planning, MAS",
publisher = "Institute of Electrical and Electronics Engineers",
author = "Seung-Tae Cha and Arshad Saleem and Qiuwei Wu and Jacob Østergaard",
year = "2012",
journal = "IEEE TRANSACTIONS ON SMART GRID",
issn = "1949-3053",

}

RIS

TY - JOUR

T1 - Agent based Particle Swarm Optimization (PSO) for Secondary Load Frequency Control in Islanded Operation

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

PB - Institute of Electrical and Electronics Engineers

PY - 2012

Y1 - 2012

N2 - This paper presents an agent based Particle Swarm Optimization (PSO) for secondary load frequency controller using software-in-the-loop (SIL) environment. Real-time digital simulator (RTDS) is used for modelling the power system, while agent based PSO 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 results will significantly help in stabilizing the frequency and the voltage of the distribution grid. The modified 3 machine 9 bus system is employed to illustrate the performance of the proposed approach via RTDS to verify its practical efficacy. Case studies are presented with respect to different operating conditions. Also, it can be used for validating LFC performance both in real-time operation and in power system planning for future renewable energy resource connections.

AB - This paper presents an agent based Particle Swarm Optimization (PSO) for secondary load frequency controller using software-in-the-loop (SIL) environment. Real-time digital simulator (RTDS) is used for modelling the power system, while agent based PSO 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 results will significantly help in stabilizing the frequency and the voltage of the distribution grid. The modified 3 machine 9 bus system is employed to illustrate the performance of the proposed approach via RTDS to verify its practical efficacy. Case studies are presented with respect to different operating conditions. Also, it can be used for validating LFC performance both in real-time operation and in power system planning for future renewable energy resource connections.

KW - Agent based PSO

KW - Secondary Load Frequency Control

KW - Software-in-the-loop

KW - RTDS

KW - Java

KW - Islanded Operation

KW - Power System Planning

KW - MAS

JO - IEEE TRANSACTIONS ON SMART GRID

JF - IEEE TRANSACTIONS ON SMART GRID

SN - 1949-3053

ER -