Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm

Mikail Purlu, Belgin Emre Turkay

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

5 Citations (Scopus)

Abstract

This paper presents Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) technique to solve dynamic economic dispatch (DED) problem. The main purpose of DED is to minimize total cost of generation power to take care of the various load demand in each hour. DED problem solution also must provide individual inequality and equality constraints at the same time. The algorithms have been applied to two test system, taking into account transmission losses. The first of the selected systems is 3 unit test system and the second is 10 unit system considering the valve point effect. Simulation results applied on the test systems show that the two algorithms obtained optimal and reliable results compared to the other methods used in the literature.

Original languageEnglish
Title of host publication2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018
EditorsSeref Naci Engin, Dogan Onur Arisoy, Muhammed Ali Oz
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538676417
DOIs
Publication statusPublished - Oct 2018
Event6th International Conference on Control Engineering and Information Technology, CEIT 2018 - Istanbul, Turkey
Duration: 25 Oct 201827 Oct 2018

Publication series

Name2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

Conference

Conference6th International Conference on Control Engineering and Information Technology, CEIT 2018
Country/TerritoryTurkey
CityIstanbul
Period25/10/1827/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Dynamic economic dispatch
  • Genetic algorithm
  • Particle swarm optimization
  • Valve point effect

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