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: UTeM 2016
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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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Institution: Universiti Teknikal Malaysia Melaka
Language: English
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spelling my.utem.eprints.188772017-07-31T00:59:24Z http://eprints.utem.edu.my/id/eprint/18877/ Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control 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 NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/18877/1/Multi%20Objective%20Optimization%20Using%20Non-Dominated%20Sorting%20Approach%20For%20Load%20Frequency%20Control%2024%20Pages.pdf Salam, Saifullah (2016) Multi Objective Optimization Using Non-Dominated Sorting Approach For Load Frequency Control. Masters thesis, Universiti Teknikal Malaysia Melaka. http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000102300 HF5351.M34 2016
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
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
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
publisher UTeM
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
http://eprints.utem.edu.my/id/eprint/18877/
http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000102300
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