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Ant Lion Optimization: A Novel Algorithm Applied to Load Frequency Control Problem in Power System

  • 2018
  • OriginalPaper
  • Chapter
Published in:
Authors
Dipayan Guha
Provas Kumar Roy
Subrata Banerjee
Published in
Operations Research and Optimization
Publisher
Springer Singapore

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Abstract

In this article, an attempt has been made to find an effective solution of load frequency control problem in power system employing a powerful and stochastic optimization technique called “Ant Lion Optimization” (ALO). The proposed algorithm is inspired by the interaction strategy between ants and ant lions in nature. To appraise the effectiveness of ALO algorithm, a widely used two-area multi-unit multi-source power plant equipped with distinct PID-controller is investigated. The integral time absolute error-based objective function has been defined for fine tuning of PID-controller gains by ALO algorithm. To judge the acceptability of ALO algorithm, the simulation results are compared with some recently published algorithms. The simulation results presented in this paper confirm that the proposed ALO algorithm significantly enhanced the relative stability of the power system and can be applied to the real-time problem.

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Title
Ant Lion Optimization: A Novel Algorithm Applied to Load Frequency Control Problem in Power System
Authors
Dipayan Guha
Provas Kumar Roy
Subrata Banerjee
Copyright Year
2018
Publisher
Springer Singapore
Book
Operations Research and Optimization

Print ISBN: 978-981-10-7813-2

Electronic ISBN: 978-981-10-7814-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7814-9_15
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