Agent based Particle Swarm Optimization for load frequency control of distribution grid

Author

Seung Tae Cha ; Saleem, Arshad ; Wu, Qiuwei ; Ostergaard, Jacob

Author_Institution

Tech. Univ. of Denmark, Lyngby, Denmark

fYear

2012

fDate

4-7 Sept. 2012

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

Java; control engineering computing; distributed power generation; frequency control; load regulation; multi-agent systems; particle swarm optimisation; power distribution control; power grids; power system simulation; Java; PSO based multiagent LFC algorithm; RTDS; agent based particle swarm optimization; distribution grid; islanding operation mode; load frequency control; multiagent controller; optimization problem; power system modelling; real-time digital simulator; Frequency control; Monitoring; Optimization; Particle swarm optimization; Power cables; Turbines; Agent based PSO; Distributed Generation (DG); Islanding Operation; Java; Load Frequency Control; MAS; Microgrid; Optimization; Power System Control; RTDS;

fLanguage

English

Publisher

ieee

Conference_Titel

Universities Power Engineering Conference (UPEC), 2012 47th International

Conference_Location

London

Print_ISBN

978-1-4673-2854-8

Electronic_ISBN

978-1-4673-2855-5

Type

conf

DOI

10.1109/UPEC.2012.6398621

Filename

6398621