Application of improved particle swarm optimization in economic dispatch of power system

G. Y.Gninkeu Tchapda, Z. Wang, Y. Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper introduces an improved particle swarm optimization to solve economic dispatch problems involving numerous constraints. Depending on the type of generating units, there are optimization constraints and practical operating constraints of generators such as prohibited operating zones and ramp rate limits. The algorithm is a hybrid technique made up of particle swarm optimization and bat algorithm. Particle swarm optimization as the main algorithm integrates bat algorithm in order to boost its velocity and adjust the improved solution. The new technique is firstly tested on five different cases of economic dispatch problems comprising 6, 13, 15, 40 and 140 generating units. The simulation results show that it performs better than both particle swarm and bat technique.

Original languageEnglish
Title of host publicationProceedings - 2017 10th International Symposium on Computational Intelligence and Design, ISCID 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages500-503
Number of pages4
ISBN (Electronic)9781538636749
DOIs
Publication statusPublished - 5 Feb 2018

Publication series

NameProceedings - 2017 10th International Symposium on Computational Intelligence and Design, ISCID 2017
Volume2

Keywords

  • Bat algorithm
  • Economic dispatch
  • Hybrid technique
  • Particle swarm optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Control and Optimization
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'Application of improved particle swarm optimization in economic dispatch of power system'. Together they form a unique fingerprint.

Cite this