Economic Dispatch Optimization for Thermal Power Plants in Iraq

Mohammed Al-Jumaili, Javad Rahebi, Ayhan Akbas, Ali Farzamnia

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

7 Citations (Scopus)

Abstract

In this paper, the Economic Power Dispatch (EPD) of the thermal power plants in Iraq is studied. The main goal of this study is to minimize the high fuel costs of the Iraqi power generation system by controlling the outputs for each generating unit via the optimization algorithms. Though the Iraqi network is composed of the total 31 thermal units, it is considered as a large-scale system, and the actual number of units that are synchronized with the network is limited to 19 units only. Particle Swarm Optimization (PSO) is proposed as a solution to be employed to solve the EPD challenge for the Iraqi network. PSO is applied to the thermal units of Iraqi network with quadratic form of fuel equations. The result of the PSO algorithm obtained has been compared with outputs of other algorithms, including Genetic Algorithm (GA) and Novel Bat algorithm (NBA).

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages140-143
Number of pages4
ISBN (Electronic)9781538608463, 9781538608456
ISBN (Print)9781538608470
DOIs
Publication statusPublished - 25 Dec 2017
Externally publishedYes
Event2nd IEEE International Conference on Automatic Control and Intelligent Systems - Kota Kinabalu, Sabah, Malaysia
Duration: 21 Oct 201721 Oct 2017
Conference number: 2

Conference

Conference2nd IEEE International Conference on Automatic Control and Intelligent Systems
Abbreviated titleI2CACIS 2017
Country/TerritoryMalaysia
CityKota Kinabalu, Sabah
Period21/10/1721/10/17

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