New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems

Year 2018, Volume: 18 Issue: 2, 133 - 142, 03.08.2018

Özge Pınar Akkaş Ertuğrul Çam İbrahim Eke Yağmur Arikan

https://doi.org/10.5152/iujeee.2018.1825

Abstract

DOI:
10.5152/iujeee.2018.1825

The determination of the most economical
generation dispatch in an electrical power system has become a very important
issue globally. However, economical dispatch can no longer be considered alone
because of environmental problems that are derived from emissions such as
nitrogen oxide, carbon dioxide, and sulfur dioxide. In this study, the problem
of environmental economic load dispatch (EELD) in a power system of six
generators is addressed both by neglecting and including line transmission
losses using a modified genetic algorithm and a modified artificial bee colony
optimization method. The results of these modified algorithms are compared with
those of the unmodified versions. The results demonstrate that the proposed new
methods have better economic and environmental distribution performances.
Accordingly, it can be concluded that the new methods are more effective and
should be adopted.

Keywords

Environmental economic dispatch, optimization, power systems, genetic algorithm, artificial bee colony

New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems

Abstract

DOI: 10.5152/iujeee.2018.1825

The determination of the most economical generation dispatch in an electrical power system has become a very important issue globally. However, economical dispatch can no longer be considered alone because of environmental problems that are derived from emissions such as nitrogen oxide, carbon dioxide, and sulfur dioxide. In this study, the problem of environmental economic load dispatch (EELD) in a power system of six generators is addressed both by neglecting and including line transmission losses using a modified genetic algorithm and a modified artificial bee colony optimization method. The results of these modified algorithms are compared with those of the unmodified versions. The results demonstrate that the proposed new methods have better economic and environmental distribution performances. Accordingly, it can be concluded that the new methods are more effective and should be adopted.

Keywords

Environmental economic dispatch, optimization, power systems, genetic algorithm, artificial bee colony

References

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