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Modelling for Composite Load Model Including Participation of Static and Dynamic Load Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study

Authors : Soheil Dolatabadi, Saeid Ghassem Zadeh

Published in: Optimization of Power System Problems

Publisher: Springer International Publishing

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Abstract

In this chapter, the application of multi-objective imperialist competitive algorithm is investigated for solving economic and emission dispatch problem. It is aimed to minimize two conflicting objectives, economic and environmental, while satisfying the problem constraints. In addition, nonlinear characteristics of generators such as prohibited zone and ramp up/down limits are considered. To check applicability of the MOICA, it is applied to 12 h of IEEE 30-bus test system. Then, results of MOICA are compared with those derived by non-dominated sorting genetic algorithm and multi-objective particle swarm optimizer. The finding indicates that MOICA exhibits better performance.

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Appendix
Available only for authorised users
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Metadata
Title
Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study
Authors
Soheil Dolatabadi
Saeid Ghassem Zadeh
Copyright Year
2020
Book
Optimization of Power System Problems

Print ISBN: 978-3-030-34049-0

Electronic ISBN: 978-3-030-34050-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-34050-6_12