A model predictive control approach to generator maintenance scheduling

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dc.contributor.advisor Zhang, Jiangfeng
dc.contributor.coadvisor Xia, Xiaohua
dc.contributor.postgraduate Ekpenyong, Uduakobong Edet en
dc.date.accessioned 2013-09-07T12:55:26Z
dc.date.available 2011-10-10 en
dc.date.available 2013-09-07T12:55:26Z
dc.date.created 2011-09-06 en
dc.date.issued 2011-10-10 en
dc.date.submitted 2011-09-22 en
dc.description Dissertation (MSc)--University of Pretoria, 2011. en
dc.description.abstract The maintenance schedule of generators in power plants needs to match the electricity demand and needs to ensure the reliability of the power plant at a minimum cost of operation. In this study, a comparison is made between the modified generator maintenance scheduling model and the classic generator maintenance scheduling model using the reliability objective functions. Both models are applied to a 21-unit test system, and the results show that the modified generator maintenance scheduling model gives better and more reliable solutions than the regular generator maintenance scheduling model. The better results of the modified generator maintenance scheduling model are due the modified and additional constraints in the modified generator maintenance scheduling model. Due to the reliable results of the modified generator maintenance scheduling model, a robust model is formulated using the economic cost objective function. The model includes modified crew and maintenance window constraints, with some additional constraints such as the relationship constraints among the variables. To illustrate the robustness of the formulated GMS model, the maintenance of the Arnot power plant in South Africa is scheduled with open-loop and closed-loop controllers. Both controllers satisfy all the constraints but the closed-loop results are better than the open-loop results. AFRIKAANS : Die onderhoudskedule vir kragopwekkers (OSK) in kragstasies moet kan voorsien in die vraag na elektrisiteit en moet die betroubaarheid van die kragstasie teen ’n minimum operasiekoste verseker. In hierdie studie word die betroubaarheidsdoelwitfunksie gebruik om ’n gewysigde onderhoudskeduleringsmodel vir kragopwekkers te vergelyk met die konvensionele onderhoudskeduleringsmodel. Beide modelle word toegepas op 'n 21-eenheid-toetsstelsel, en die resultate toon dat die gewysigde model ’n beter en meer betroubare oplossing bied as die konvensionele model. Die beter resultate van die gewysigde model is die gevolg van die gewysigde en bykomende beperkings in die gewysigde model. As gevolg van die betroubare resultate van die gewysigde onderhoudskeduleringsmodel word die koste-ekonomie-doelwitfunksie gebruik om ’n robuuste model te formuleer. Die model sluit gewysigde bemanning- en onderhoudvensterbeperkings in, met ’n paar bykomende beperkings soos die verhoudingsbeperkings tussen die veranderlikes. Om die robuustheid van die geformuleerde OSK-model te illustreer word die instandhouding van die Arnot kragstasie in Suid-Afrika geskeduleer met oop- en geslotelus-beheerders. Beide beheerders voldoen aan al die beperkinge, maar die geslotelusresultate is beter as die ooplusresultate. en
dc.description.availability Unrestricted en
dc.description.department Electrical, Electronic and Computer Engineering en
dc.identifier.citation Ekpenyong, UE 2011, A model predictive control approach to generator maintenance scheduling, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/28126 > en
dc.identifier.other E11/9/132/gm en
dc.identifier.upetdurl http://upetd.up.ac.za/thesis/available/etd-09222011-095851/ en
dc.identifier.uri http://hdl.handle.net/2263/28126
dc.language.iso en
dc.publisher University of Pretoria en_ZA
dc.rights © 2011, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. en
dc.subject Kontrole en
dc.subject Partikel swerm optimalisering en
dc.subject Optimalisering en
dc.subject Onderhoud en
dc.subject Modellering en
dc.subject Kragopwekker en
dc.subject Kragopwekker onderhoudskedule en
dc.subject Control en
dc.subject Swarm intelligence en
dc.subject Model predictive control en
dc.subject Genetic algorithm en
dc.subject Swerm intelligensie en
dc.subject Model voorspellende kontrole en
dc.subject Genetiese algoritme en
dc.subject Generator maintenance scheduling en
dc.subject Generators en
dc.subject Modelling en
dc.subject Maintenance en
dc.subject Optimization en
dc.subject Particle swarm optimization (PSO) en
dc.subject UCTD en_US
dc.title A model predictive control approach to generator maintenance scheduling en
dc.type Dissertation en


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