Conference paper
Agent based Particle Swarm Optimization for Load Frequency Control of Distribution Grid
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2012 |
| Pages: | 1-6 |
| Proceedings: | 47th Universities' Power Engineering Conference |
| ISBN: | 1467328545 , 1467328553 , 1467328561 , 9781467328548 , 9781467328555 and 9781467328562 |
| Types: | Conference paper |
| DOI: | 10.1109/UPEC.2012.6398621 |
| ORCIDs: | Wu, Qiuwei and Østergaard, Jacob |
Agent based PSO Distributed Generation (DG) Islanding Operation Java Load Frequency Control MAS Microgrid Optimization Power System Control RTDS
Frequency control Monitoring PSO based multiagent LFC algorithm Particle swarm optimization Power cables Turbines agent based particle swarm optimization control engineering computing distributed power generation distribution grid frequency control islanding operation mode load frequency control load regulation multi-agent systems multiagent controller optimization problem particle swarm optimisation power distribution control power grids power system modelling power system simulation real-time digital simulator
