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Erschienen in:
Human Gait Recognition Using Gait Flow Image and Extension Neural Network Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Design of Proportional-Integral-Derivative Controller Using Stochastic Particle Swarm Optimization Technique for Single-Area AGC Including SMES and RFB Units

verfasst von : K. Jagatheesan, B. Anand, Nilanjan Dey, M. A. Ebrahim

Erschienen in: Proceedings of the Second International Conference on Computer and Communication Technologies

Verlag: Springer India

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Abstract

In this work, electromechanical oscillations in single-area power systems can be effectively reduced by the influence of energy storage unit, and it helps in the load leveling process and performance improvement of the system. This proposed paper describes the application of super magnetic energy storage (SMES) unit and redox flow battery (RFB) in single-area non-reheat, single, and double reheat thermal power system. The commonly used industrial PID controller act as a control strategy and the optimal gain values are obtained using three different cost functions with stochastic particle swarm optimization technique (SPSO). The dynamic performance of the investigated power system is obtained and examined with one percent step load perturbation.

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Metadaten
Titel
Design of Proportional-Integral-Derivative Controller Using Stochastic Particle Swarm Optimization Technique for Single-Area AGC Including SMES and RFB Units
verfasst von
K. Jagatheesan
B. Anand
Nilanjan Dey
M. A. Ebrahim
Copyright-Jahr
2016
Verlag
Springer India
Buch
Proceedings of the Second International Conference on Computer and Communication Technologies

Print ISBN: 978-81-322-2522-5

Electronic ISBN: 978-81-322-2523-2

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-81-322-2523-2_28

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