Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid

Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid

This thesis proposes a new power tracing technique using computational intelligence approach for nondiscriminatory losses charge allocation and voltage stability improvement. Contrary to conventional techniques which mainly rely on matrix operation, the proposed algorithm implements optimization tec...

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Main Author: Abdul Hamid, Zulkifli
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2013
Subjects:
Malaysia
Online Access:http://ir.uitm.edu.my/id/eprint/19115/
http://ir.uitm.edu.my/id/eprint/19115/1/ABS_ZULKIFLI%20ABDUL%20HAMID%20TDRA%20VOL%204%20IGS%2013.pdf
id uitm-19115
recordtype eprints
spelling uitm-191152018-06-11T01:39:29Z http://ir.uitm.edu.my/id/eprint/19115/ Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid Abdul Hamid, Zulkifli Malaysia This thesis proposes a new power tracing technique using computational intelligence approach for nondiscriminatory losses charge allocation and voltage stability improvement. Contrary to conventional techniques which mainly rely on matrix operation, the proposed algorithm implements optimization technique as an alternative for performing the tracing process. At first, in producing a good optimization algorithm, a hybridization technique was proposed for adopting the finest features of two different algorithms; namely the Genetic Algorithm (GA) and continuous domain Ant Colony Optimization (ACOR). The hybrid algorithm is termed as the Blended Crossover Continuous Ant Colony Optimization (BX-CACO). It was found that performing power tracing via BX-CACO produced reliable tracing results as it is free from assumption like proportional sharing principle (PSP). Without treating the power system to be lossless, the tracing results are based on actual system condition; which means that they are consistent. Despite BX-CACO required computation time during optimization process, it is still within tolerable range. In addition, the proposed technique was able to promote fair losses charge allocation by involving imaginary consumers other than generation companies (GENCOs) and distribution companies (DISCOs); where, not all conventional tracing techniques include such consideration in their pricing scheme. Subsequently, the developed tracing algorithm was modified in the context of stability index tracing… Institute of Graduate Studies, UiTM 2013 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19115/1/ABS_ZULKIFLI%20ABDUL%20HAMID%20TDRA%20VOL%204%20IGS%2013.pdf Abdul Hamid, Zulkifli (2013) Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 4 (4). Institute of Graduate Studies, UiTM, Shah Alam.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Malaysia
spellingShingle Malaysia
Abdul Hamid, Zulkifli
Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid
description This thesis proposes a new power tracing technique using computational intelligence approach for nondiscriminatory losses charge allocation and voltage stability improvement. Contrary to conventional techniques which mainly rely on matrix operation, the proposed algorithm implements optimization technique as an alternative for performing the tracing process. At first, in producing a good optimization algorithm, a hybridization technique was proposed for adopting the finest features of two different algorithms; namely the Genetic Algorithm (GA) and continuous domain Ant Colony Optimization (ACOR). The hybrid algorithm is termed as the Blended Crossover Continuous Ant Colony Optimization (BX-CACO). It was found that performing power tracing via BX-CACO produced reliable tracing results as it is free from assumption like proportional sharing principle (PSP). Without treating the power system to be lossless, the tracing results are based on actual system condition; which means that they are consistent. Despite BX-CACO required computation time during optimization process, it is still within tolerable range. In addition, the proposed technique was able to promote fair losses charge allocation by involving imaginary consumers other than generation companies (GENCOs) and distribution companies (DISCOs); where, not all conventional tracing techniques include such consideration in their pricing scheme. Subsequently, the developed tracing algorithm was modified in the context of stability index tracing…
format Book Section
author Abdul Hamid, Zulkifli
author_facet Abdul Hamid, Zulkifli
author_sort Abdul Hamid, Zulkifli
title Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid
title_short Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid
title_full Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid
title_fullStr Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid
title_full_unstemmed Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid
title_sort computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / zulkifli abdul hamid
publisher Institute of Graduate Studies, UiTM
publishDate 2013
url http://ir.uitm.edu.my/id/eprint/19115/
http://ir.uitm.edu.my/id/eprint/19115/1/ABS_ZULKIFLI%20ABDUL%20HAMID%20TDRA%20VOL%204%20IGS%2013.pdf
first_indexed 2023-09-18T23:01:53Z
last_indexed 2023-09-18T23:01:53Z
_version_ 1777418227804012544

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