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Erschienen in:
Non-traditional Algorithms for Offshore Engineering Systems Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

A Comparison of PSO, GA and FA-Based PID Controller for Load Frequency Control of Two-Area Hybrid Power System

verfasst von : Ajay Kumar, Deepak Kumar Gupta, Sriparna Roy Ghatak, Soubhagya Ranjan Prusty

Erschienen in: Smart Technologies for Power and Green Energy

Verlag: Springer Nature Singapore

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Abstract

This paper presents a comparative study between three different optimization techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Firefly Algorithm (FA) for tuning the parameters of proportional-integral-derivative (PID) controller in load frequency control (LFC) of a two-area hybrid power system. In this paper, Power systems are composed of renewable and non-renewable sources along with battery energy storage (BES) and superconducting magnetic energy storage (SMES) as energy storage systems. The integral time absolute error (ITAE) was selected as the objective function. Additionally, the controllers are likewise regulated to confirm that the tie-line power and frequency of the hybrid power system are inside the adequate limits. Comparison of the optimization technique is done on the basis of settling time, objective function and convergence characteristics, and their results illustrate the best performance of the proposed method PSO.

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Vorheriges Kapitel Analysis and Controlling of Distribution Transformer Parameter using AVR Microcontroller IoT System
Nächstes Kapitel Enhancement of Power System Stability and Damping Oscillation in a Multi-Machine System Using SSSC
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Metadaten
Titel
A Comparison of PSO, GA and FA-Based PID Controller for Load Frequency Control of Two-Area Hybrid Power System
verfasst von
Ajay Kumar
Deepak Kumar Gupta
Sriparna Roy Ghatak
Soubhagya Ranjan Prusty
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
Buch
Smart Technologies for Power and Green Energy

Print ISBN: 978-981-19-2763-8

Electronic ISBN: 978-981-19-2764-5

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-981-19-2764-5_23