Optimal power scheduling strategy in power systems using swarm optimization technique

Nor Azwan Mohamed Kamari, Nur Azzammudin Rahmat, Ismail Musirin

Research output: Contribution to journalArticle


This study proposes a power scheduling strategy for power system networks by using PSO technique. This strategy searches for the optimal power for each generating unit in the system, without compromising the total power demands and constraints of each unit. The objective function aims to minimize the total generation cost. The amount of power loss is measured to determine the feasibility of the proposed technique. In addition, optimization processes using evolutionary programming (EP) and artificial immune system (AIS) are implemented. Five-and 30-bus power system networks are selected and processed using MATLAB. The simulation results indicate that PSO performs better than EP and AIS in determining the optimal power generation value with minimum generation cost and power loss.

Original languageEnglish
Article number37
Pages (from-to)246-251
Number of pages6
JournalInternational Journal of Advanced Trends in Computer Science and Engineering
Issue number1.6 Special Issue
Publication statusPublished - 01 Jan 2019

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

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