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: unimas 2017
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Online Access:http://ir.unimas.my/id/eprint/21023/1/Michelle.pdf
http://ir.unimas.my/id/eprint/21023/
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spelling my.unimas.ir.210232023-06-27T07:04:39Z http://ir.unimas.my/id/eprint/21023/ Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme 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 NonPeerReviewed text en http://ir.unimas.my/id/eprint/21023/1/Michelle.pdf Lu, Michelle (2017) Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme. PhD thesis, UNIMAS.
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
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
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
publisher unimas
publishDate 2017
url http://ir.unimas.my/id/eprint/21023/1/Michelle.pdf
http://ir.unimas.my/id/eprint/21023/
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score 13.211869