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2016 | OriginalPaper | Chapter

PSO Based Tuning of a Integral and Proportional Integral Controller for a Closed Loop Stand Alone Multi Wind Energy System

Authors : L. V. Suresh Kumar, G. V. Nagesh Kumar, D. Anusha

Published in: Computational Intelligence in Data Mining—Volume 1

Publisher: Springer India

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Abstract

The summary of the paper explains the optimal tuning of integral (I) and proportional integral (PI) controllers are applied to closed loop standalone integrated multi wind energy system by using particle swarm optimization. Tuning of I and PI controller gain values obtained from the optimization techniques to get the best possible operation of the system. For the optimal performance of the integrated wind energy system, the controller gains are tuned by using the PSO and genetic algorithms (GA). The system harmonics of voltage responses are observed with search heuristic algorithm that is nothing but a genetic algorithm. Similarly the system responses are observed and compared with PSO algorithm, and the PSO algorithm is proved better. The results establishes the proposed new stand alone multi wind energy system with I, PI controller gains are tuned by using PSO will gives less harmonic distortion and improves performance. The proposed system is developed in MATLAB/SIMULINK.

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Metadata
Title
PSO Based Tuning of a Integral and Proportional Integral Controller for a Closed Loop Stand Alone Multi Wind Energy System
Authors
L. V. Suresh Kumar
G. V. Nagesh Kumar
D. Anusha
Copyright Year
2016
Publisher
Springer India
Book
Computational Intelligence in Data Mining—Volume 1

Print ISBN: 978-81-322-2732-8

Electronic ISBN: 978-81-322-2734-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2734-2_40

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