IMO-based novel adaptive dual-mode controller design for AGC investigation in different types of systems

This article deals with a novel adaptive controller known as dual-mode proportional-integral-derivative (DMPID) controller employed to regulate the frequency of a three-area thermal-type interconnected system including nonlinearity in the form of generation rate constraints. The DMPID controller is...

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Main Authors: Gayatri Mohapatra, Manoj Kumar Debnath, Krushna Keshab Mohapatra
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2020.1711675
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spelling doaj-186b96469f974f559ac27c7cedc67ebc2021-06-21T13:17:38ZengTaylor & Francis GroupCogent Engineering2331-19162020-01-017110.1080/23311916.2020.17116751711675IMO-based novel adaptive dual-mode controller design for AGC investigation in different types of systemsGayatri Mohapatra0Manoj Kumar Debnath1Krushna Keshab Mohapatra2Siksha ‘O’ Anusandhan Deemed to be UniversitySiksha ‘O’ Anusandhan Deemed to be UniversitySiksha ‘O’ Anusandhan Deemed to be UniversityThis article deals with a novel adaptive controller known as dual-mode proportional-integral-derivative (DMPID) controller employed to regulate the frequency of a three-area thermal-type interconnected system including nonlinearity in the form of generation rate constraints. The DMPID controller is tuned by ions motion optimization (IMO) technique to acquire its suitable gains by employing integral absolute error. The dynamic characteristics of the multi-area network with the above-mentioned control methodology are compared with the IMO-tuned PID controller and a previously published method such as bacteria foraging optimized integral controller to establish its supremacy. Further, case studies confirm the robustness of the proposed control approach while subjected to various system loadings, different positions of SLP and parameter variations. Also, the robustness of the recommended controller is validated in the presence of time delays. Finally, the proposed controller is applied in another multi-source model to prove its adaptability.http://dx.doi.org/10.1080/23311916.2020.1711675automatic generation controlions motion optimizationdual-mode controllerproportional-integral-derivative controllertime delaymulti-source generation
collection DOAJ
language English
format Article
sources DOAJ
author Gayatri Mohapatra
Manoj Kumar Debnath
Krushna Keshab Mohapatra
spellingShingle Gayatri Mohapatra
Manoj Kumar Debnath
Krushna Keshab Mohapatra
IMO-based novel adaptive dual-mode controller design for AGC investigation in different types of systems
Cogent Engineering
automatic generation control
ions motion optimization
dual-mode controller
proportional-integral-derivative controller
time delay
multi-source generation
author_facet Gayatri Mohapatra
Manoj Kumar Debnath
Krushna Keshab Mohapatra
author_sort Gayatri Mohapatra
title IMO-based novel adaptive dual-mode controller design for AGC investigation in different types of systems
title_short IMO-based novel adaptive dual-mode controller design for AGC investigation in different types of systems
title_full IMO-based novel adaptive dual-mode controller design for AGC investigation in different types of systems
title_fullStr IMO-based novel adaptive dual-mode controller design for AGC investigation in different types of systems
title_full_unstemmed IMO-based novel adaptive dual-mode controller design for AGC investigation in different types of systems
title_sort imo-based novel adaptive dual-mode controller design for agc investigation in different types of systems
publisher Taylor & Francis Group
series Cogent Engineering
issn 2331-1916
publishDate 2020-01-01
description This article deals with a novel adaptive controller known as dual-mode proportional-integral-derivative (DMPID) controller employed to regulate the frequency of a three-area thermal-type interconnected system including nonlinearity in the form of generation rate constraints. The DMPID controller is tuned by ions motion optimization (IMO) technique to acquire its suitable gains by employing integral absolute error. The dynamic characteristics of the multi-area network with the above-mentioned control methodology are compared with the IMO-tuned PID controller and a previously published method such as bacteria foraging optimized integral controller to establish its supremacy. Further, case studies confirm the robustness of the proposed control approach while subjected to various system loadings, different positions of SLP and parameter variations. Also, the robustness of the recommended controller is validated in the presence of time delays. Finally, the proposed controller is applied in another multi-source model to prove its adaptability.
topic automatic generation control
ions motion optimization
dual-mode controller
proportional-integral-derivative controller
time delay
multi-source generation
url http://dx.doi.org/10.1080/23311916.2020.1711675
work_keys_str_mv AT gayatrimohapatra imobasednoveladaptivedualmodecontrollerdesignforagcinvestigationindifferenttypesofsystems
AT manojkumardebnath imobasednoveladaptivedualmodecontrollerdesignforagcinvestigationindifferenttypesofsystems
AT krushnakeshabmohapatra imobasednoveladaptivedualmodecontrollerdesignforagcinvestigationindifferenttypesofsystems
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