Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control

This work provides an in-depth analysis on the implementation of multi objective optimization based on non-dominated sorting for load frequency control by using proportional-integral-derivative (PID) controller for interconnected reheat thermal power system. The load frequency control is use to cont...

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Main Author:	Salam, Saifullah
Format:	Thesis
Language:	English
Published:	2016
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/18877/1/Multi%20Objective%20Optimization%20Using%20Non-Dominated%20Sorting%20Approach%20For%20Load%20Frequency%20Control%2024%20Pages.pdf
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spelling	my-utem-ep.188772017-07-31T00:59:24Z Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control 2016 Salam, Saifullah T Technology (General) TJ Mechanical engineering and machinery This work provides an in-depth analysis on the implementation of multi objective optimization based on non-dominated sorting for load frequency control by using proportional-integral-derivative (PID) controller for interconnected reheat thermal power system. The load frequency control is use to control the frequency and inter-area (tie line) oscillation. When the load demand slightly changes, the frequency of the system will be affected and the control action need be react as soon as possible to prevent system instability. The real power is related with frequency which will slightly change due to any changing in frequency. The two area power system model will be considered in this investigation. The optimization technique which has been implemented is the Evolutionary Programming (EP). The weighted sum approach of EP is considered in order to provide multiple solution point by varying the weighted. The non-dominated point has been selected to optimize the PID gains to provide least overshoot value and fast frequency response of the system. Two objectives function will be considered for this investigation and has been characterized by the performance criterions which are Integral of Time Multiplied Absolute Error (ITAE) and Integral of Time Weighted Squared Error (ITSE). Optimum PID parameters which able to provide the best performance in terms of lower settling time and less overshoot value in the frequency deviation response will be determined. UTeM 2016 Thesis http://eprints.utem.edu.my/id/eprint/18877/ http://eprints.utem.edu.my/id/eprint/18877/1/Multi%20Objective%20Optimization%20Using%20Non-Dominated%20Sorting%20Approach%20For%20Load%20Frequency%20Control%2024%20Pages.pdf text en public http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000102300 masters Universiti Teknikal Malaysia Melaka Faculty Of Engineering Technology
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Salam, Saifullah Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control
description	This work provides an in-depth analysis on the implementation of multi objective optimization based on non-dominated sorting for load frequency control by using proportional-integral-derivative (PID) controller for interconnected reheat thermal power system. The load frequency control is use to control the frequency and inter-area (tie line) oscillation. When the load demand slightly changes, the frequency of the system will be affected and the control action need be react as soon as possible to prevent system instability. The real power is related with frequency which will slightly change due to any changing in frequency. The two area power system model will be considered in this investigation. The optimization technique which has been implemented is the Evolutionary Programming (EP). The weighted sum approach of EP is considered in order to provide multiple solution point by varying the weighted. The non-dominated point has been selected to optimize the PID gains to provide least overshoot value and fast frequency response of the system. Two objectives function will be considered for this investigation and has been characterized by the performance criterions which are Integral of Time Multiplied Absolute Error (ITAE) and Integral of Time Weighted Squared Error (ITSE). Optimum PID parameters which able to provide the best performance in terms of lower settling time and less overshoot value in the frequency deviation response will be determined.
format	Thesis
qualification_level	Master's degree
author	Salam, Saifullah
author_facet	Salam, Saifullah
author_sort	Salam, Saifullah
title	Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control
title_short	Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control
title_full	Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control
title_fullStr	Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control
title_full_unstemmed	Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control
title_sort	multi objective optimization using non-dominated sorting approach for load frequency control
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Engineering Technology
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/18877/1/Multi%20Objective%20Optimization%20Using%20Non-Dominated%20Sorting%20Approach%20For%20Load%20Frequency%20Control%2024%20Pages.pdf
_version_	1747833958072057856

Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control

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