Dynamic Economic Load Dispatch Using GAMS

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

Abstract

This study addresses dynamic economic load dispatch, a critical and complex problem in power systems that aims to minimize fuel costs for the efficient operation of power systems. To solve this problem, GAMS software was used, known for its high solution capability, ease of application, fast computation time, and ability to achieve optimal results in handling complex problems. The model was developed for two different test systems, consisting of 5 and 10 generating units. Constraints such as generator capacity, demand and ramp rate were incorporated into the solution. According to the analysis results, the total fuel cost for the 5-unit system was $40,121, while for the 10-unit system it was $2,422,246. The results show a clear advantage in daily fuel costs compared to methods like GA, DE-SQP, PSOSQP, and PSOCS. Specifically, the GAMS approach achieves an annual total fuel cost saving of approximately $1,460,000 for the 5-unit system and $28,400,000 for the 10-unit system.

Original languageEnglish
Title of host publicationIEEE Global Energy Conference 2024, GEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages282-287
Number of pages6
ISBN (Electronic)9798331532611
DOIs
Publication statusPublished - 2024
Event2024 IEEE Global Energy Conference, GEC 2024 - Batman, Turkey
Duration: 4 Dec 20246 Dec 2024

Publication series

NameIEEE Global Energy Conference 2024, GEC 2024

Conference

Conference2024 IEEE Global Energy Conference, GEC 2024
Country/TerritoryTurkey
CityBatman
Period4/12/246/12/24

Bibliographical note

Publisher Copyright:
©2024 IEEE.

Keywords

  • dynamic economic load dispatch
  • GAMS
  • Non-lineer programming
  • power systems

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