Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme

This thesis investigated the coupling effects of power system frequency and voltage and reflects this critical relationship in the analytic System Frequency Response (SFR)-UFLS model in the form of load-generation imbalance. The analytic SFR-UFLS model was used to compute the UFLS performance indica...

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Main Author:	Lu, Michelle
Format:	Thesis
Language:	English
Published:	2017
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/21023/1/Michelle.pdf
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id	my-unimas-ir.21023
record_format	uketd_dc
spelling	my-unimas-ir.210232023-06-27T07:04:39Z Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme 2017 Lu, Michelle T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This thesis investigated the coupling effects of power system frequency and voltage and reflects this critical relationship in the analytic System Frequency Response (SFR)-UFLS model in the form of load-generation imbalance. The analytic SFR-UFLS model was used to compute the UFLS performance indicators from derived closed-form expressions of the load frequency response. This thesis proposed a new method of incorporating swarm features into the optimization algorithm of Classical Evolutionary Programming (CEP) to derive optimal settings for the UFLS scheme. The proposed method called the Swarm Evolutionary Programming (SEP) which is also a variant of CEP, was tested on the Western System Coordinating Council (WSCC) nine-bus system. Simulation results have shown that SEP was able to produce an optimal load-shedding scheme with superior performance. There are no nonlinear constraints violations and the minimum transient frequency deviation is reduced by 0.295Hz and 0.075Hz compared to traditional trial-and-error and CEP methods. There are also no over-frequency problems in terms of steady-state frequency deviation and the total quantum of load shedding is reduced by 0.1154p.u as compared to the CEP method. unimas 2017 Thesis http://ir.unimas.my/id/eprint/21023/ http://ir.unimas.my/id/eprint/21023/1/Michelle.pdf text en validuser phd doctoral UNIMAS
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Lu, Michelle Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme
description	This thesis investigated the coupling effects of power system frequency and voltage and reflects this critical relationship in the analytic System Frequency Response (SFR)-UFLS model in the form of load-generation imbalance. The analytic SFR-UFLS model was used to compute the UFLS performance indicators from derived closed-form expressions of the load frequency response. This thesis proposed a new method of incorporating swarm features into the optimization algorithm of Classical Evolutionary Programming (CEP) to derive optimal settings for the UFLS scheme. The proposed method called the Swarm Evolutionary Programming (SEP) which is also a variant of CEP, was tested on the Western System Coordinating Council (WSCC) nine-bus system. Simulation results have shown that SEP was able to produce an optimal load-shedding scheme with superior performance. There are no nonlinear constraints violations and the minimum transient frequency deviation is reduced by 0.295Hz and 0.075Hz compared to traditional trial-and-error and CEP methods. There are also no over-frequency problems in terms of steady-state frequency deviation and the total quantum of load shedding is reduced by 0.1154p.u as compared to the CEP method.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Lu, Michelle
author_facet	Lu, Michelle
author_sort	Lu, Michelle
title	Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme
title_short	Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme
title_full	Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme
title_fullStr	Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme
title_full_unstemmed	Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme
title_sort	swarm evolutionary programming method for optimal under-frequency load shedding scheme
granting_institution	UNIMAS
publishDate	2017
url	http://ir.unimas.my/id/eprint/21023/1/Michelle.pdf
_version_	1783728223138349056

Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme

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