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Review and Applications of Metaheuristic Algorithms in Civil Engineering Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Reactive Power Optimization in Wind Power Plants Using Cuckoo Search Algorithm

Authors : K. S. Pandya, J. K. Pandya, S. K. Joshi, H. K. Mewada

Published in: Metaheuristics and Optimization in Civil Engineering

Publisher: Springer International Publishing

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Abstract

This chapter presents the application of a new meta-heuristic optimization algorithm called cuckoo search algorithm (CSA) to solve optimal reactive power dispatch problem (ORPD) of the power system in the presence of wind power plants (WPP). Due to the inclusion of WPP, the ORPD problem becomes a complex combinatorial optimization problem and it has a nonlinear objective function with many local minima, and discontinuous and nonlinear constraint functions. CSA is based on the obligate brood parasitic behavior of some cuckoo species in combination with the Lѐvy flight behavior of some birds and fruit flies. The effectiveness and feasibility of CSA have been tested on a 41-bus WPP test system and the obtained results that have been compared with particle swarm optimization (PSO). Simulation results yield that the CSA converges to better optimal solutions faster than PSO.

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previous chapter Optimum Reinforced Concrete Design by Harmony Search Algorithm
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Metadata
Title
Reactive Power Optimization in Wind Power Plants Using Cuckoo Search Algorithm
Authors
K. S. Pandya
J. K. Pandya
S. K. Joshi
H. K. Mewada
Copyright Year
2016
Book
Metaheuristics and Optimization in Civil Engineering

Print ISBN: 978-3-319-26243-7

Electronic ISBN: 978-3-319-26245-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-26245-1_9