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

Seung-Tae Cha, Arshad Saleem, Qiuwei Wu, Jacob Østergaard

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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.
Original languageEnglish
Title of host publication47th Universities Power Engineering Conference, UPEC'2012
Number of pages6
Publication date2012
Publication statusPublished - 2012
Event47th Universities' Power Engineering Conference - Brunel University, London, United Kingdom
Duration: 4 Sep 20127 Sep 2012


Conference47th Universities' Power Engineering Conference
LocationBrunel University
CountryUnited Kingdom


  • Agent based PSO
  • Distributed Generation (DG)
  • Islanding Operation
  • Java
  • Load Frequency Control
  • MAS
  • Microgrid
  • Optimization
  • Power System Control
  • RTDS


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