Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant

Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant

This paper presents the optimization of fuel cost, emission of NO<sub>X</sub>, CO<sub>X,</sub> and SO<sub>X</sub> gases caused by the generators in a thermal power plant using penalty factor approach. Practical constraints such as generator limits and power balanc...

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Bibliographic Details
Main Authors: Shahbaz Hussain, Mohammed Al-Hitmi, Salman Khaliq, Asif Hussain, Muhammad Asghar Saqib
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Energies
Subjects:
economic load dispatch
emission dispatch
combined economic emission/environmental dispatch
particle swarm optimization
genetic algorithm
penalty factor approach
Online Access:https://www.mdpi.com/1996-1073/12/11/2037

Internet

https://www.mdpi.com/1996-1073/12/11/2037

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