Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique

In literature, gradient-based nonlinear programming technique has been used to design an optimal Under-frequency Load Shedding (UFLS) scheme. However, the objective function of the System Frequency Response (SFR) - UFLS model was piecewise discontinuous and obtaining optimal solutions with this met...

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Main Author:	Lu, Michelle
Format:	Thesis
Language:	English
Published:	2013
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/8291/3/Optimal%20Under-Frequency%20Load%20Shedding%20%28UFLS%29%20Scheme%20Using%20Evolutionary%20Programming%20Technique.pdf
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spelling	my-unimas-ir.82912023-03-01T04:03:09Z Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique 2013 Lu, Michelle T Technology (General) In literature, gradient-based nonlinear programming technique has been used to design an optimal Under-frequency Load Shedding (UFLS) scheme. However, the objective function of the System Frequency Response (SFR) - UFLS model was piecewise discontinuous and obtaining optimal solutions with this method had posed some difficulties. A promising solution approach could be the use of Evolutionary Programming (EP) which has recently being increasingly applied to constrained nonlinear optimization in power system problems. In this thesis, the analytic SFR - UFLS model has been used to compute the system and UFLS performance indicators from derived closed-form expressions of the load frequency response. Simulation studies have been done based on third-order and fourth order SFR-UFLS model to represent Kuching Power Island and the Sarawak power system respectively. The reliability, accuracy and appropriateness of the SFR-UFLS models in representing the actual system scenarios have also been verified with a full-scale power system simulator called the Power System Simulator for Engineering (PSS/E) software. For both the third-order and fourth-order model, simulation results have shown that a fixed UFLS scheme has better performance than an adaptive UFLS scheme with respect to the objective function. In the effort to further optimize the parameter settings for the fixed UFLS scheme, various static and dynamic adaptation methods have been analyzed. For the thirdorder model, static adaptation by replacing elitist selection with direct selection has produced the best results with an objective function of 0.4322. For the fourth-order SFR-UFLS model, static adaptation by adding cloning function has given the best optimized results with an objective function of 0.2209. The main contribution of this thesis is in the incorporation in the heuristic research field, of novel optimization model based in EP with capacity to provide optimal UFLS settings for a power system. Universiti Malaysia Sarawak, (UNIMAS) 2013 Thesis http://ir.unimas.my/id/eprint/8291/ http://ir.unimas.my/id/eprint/8291/3/Optimal%20Under-Frequency%20Load%20Shedding%20%28UFLS%29%20Scheme%20Using%20Evolutionary%20Programming%20Technique.pdf text en validuser masters Universiti Malaysia Sarawak, (UNIMAS) Faculty of Engineering
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Lu, Michelle Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique
description	In literature, gradient-based nonlinear programming technique has been used to design an optimal Under-frequency Load Shedding (UFLS) scheme. However, the objective function of the System Frequency Response (SFR) - UFLS model was piecewise discontinuous and obtaining optimal solutions with this method had posed some difficulties. A promising solution approach could be the use of Evolutionary Programming (EP) which has recently being increasingly applied to constrained nonlinear optimization in power system problems. In this thesis, the analytic SFR - UFLS model has been used to compute the system and UFLS performance indicators from derived closed-form expressions of the load frequency response. Simulation studies have been done based on third-order and fourth order SFR-UFLS model to represent Kuching Power Island and the Sarawak power system respectively. The reliability, accuracy and appropriateness of the SFR-UFLS models in representing the actual system scenarios have also been verified with a full-scale power system simulator called the Power System Simulator for Engineering (PSS/E) software. For both the third-order and fourth-order model, simulation results have shown that a fixed UFLS scheme has better performance than an adaptive UFLS scheme with respect to the objective function. In the effort to further optimize the parameter settings for the fixed UFLS scheme, various static and dynamic adaptation methods have been analyzed. For the thirdorder model, static adaptation by replacing elitist selection with direct selection has produced the best results with an objective function of 0.4322. For the fourth-order SFR-UFLS model, static adaptation by adding cloning function has given the best optimized results with an objective function of 0.2209. The main contribution of this thesis is in the incorporation in the heuristic research field, of novel optimization model based in EP with capacity to provide optimal UFLS settings for a power system.
format	Thesis
qualification_level	Master's degree
author	Lu, Michelle
author_facet	Lu, Michelle
author_sort	Lu, Michelle
title	Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique
title_short	Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique
title_full	Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique
title_fullStr	Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique
title_full_unstemmed	Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique
title_sort	optimal under-frequency load shedding (ufls) scheme using evolutionary programming technique
granting_institution	Universiti Malaysia Sarawak, (UNIMAS)
granting_department	Faculty of Engineering
publishDate	2013
url	http://ir.unimas.my/id/eprint/8291/3/Optimal%20Under-Frequency%20Load%20Shedding%20%28UFLS%29%20Scheme%20Using%20Evolutionary%20Programming%20Technique.pdf
_version_	1783727978500325376

Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique

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