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24.08.2016 | Methodologies and Application

A solution network based on stud krill herd algorithm for optimal power flow problems

verfasst von: Harish Pulluri, R. Naresh, Veena Sharma

Erschienen in: Soft Computing | Ausgabe 1/2018

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Abstract

This paper presents a study based on versatile bio-inspired metaheuristic stud krill herd (SKH) algorithm to tackle the optimal power flow (OPF) problems in a power system network. SKH consists of stud selection and crossover operator that is incorporated into the original krill herd algorithm to improve the quality of the solution and especially to avoid being trapped in local optima. In order to investigate the performance, the proposed algorithm is demonstrated on the optimal power flow problems of IEEE 14-bus, IEEE 30-bus and IEEE 57-bus systems. The different objective functions considered are minimization of total production cost with and without valve point loading effect, minimization of active power loss, minimization of L-index and minimization of emission pollution. The OPF results obtained with the proposed approach are compared with the other evolutionary algorithms recently reported in the literature.

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Titel: A solution network based on stud krill herd algorithm for optimal power flow problems
verfasst von: Harish Pulluri
R. Naresh
Veena Sharma
Publikationsdatum: 24.08.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 1/2018
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-016-2319-3

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