<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-30T09:33:43Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/10156" metadataPrefix="qdc">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/10156</identifier><datestamp>2026-02-03T12:14:22Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37959</setSpec></header><metadata><qdc:qualifieddc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>A model based on cost minimization and reliability enhancement to solve the power plant preventive maintenance scheduling problem</dc:title>
   <dc:creator>Pérez-Canto, Salvador</dc:creator>
   <dc:subject>Instalaciones energéticas - Gestión</dc:subject>
   <dcterms:abstract>1. Introduction and problem description&#xd;
The Power Plant Preventive Maintenance Scheduling Problem (PPPMSP) requires&#xd;
determining the period for which generating units of an electric power system should be&#xd;
taken offline for planned preventive maintenance over a time horizon. The research&#xd;
performed here encompasses a wide range of power plants: thermal, nuclear, hydroelectric,&#xd;
and wind power plants.&#xd;
2. Model formulation and methodology&#xd;
The PPPMSP is a complex optimization problem. Objectives such as total cost&#xd;
minimization and consecution of a certain reliability level are proposed by imposing an&#xd;
objective function and satisfying a set of constraints. This problem is categorized as a 0/1&#xd;
mixed integer linear programming problem. Its resolution involves the use of an optimiser.&#xd;
3. Application example and findings&#xd;
An example based on a high-dimensioned realistic power system was undertaken to&#xd;
validate the model. The findings demonstrate that the model works correctly.&#xd;
4. Conclusions&#xd;
a) Several costs are integrated.&#xd;
b) Different power plants were considered.&#xd;
c) A wide variety of constraints is included.&#xd;
d) The results could be useful if they are applied to other realistic cases.&#xd;
5. References&#xd;
Ben-Daya, M., Duffuaa, S.O., Raouf A. (Eds), (2000). Maintenance, Modeling and&#xd;
Optimization. Kluwer, Boston.&#xd;
Ekpenyong, U.E., Zhang, J., Xia, X. (2012). “An improved robust model for generator&#xd;
maintenance scheduling”. Electric Power Systems Research. 92, 29-36.</dcterms:abstract>
   <dcterms:dateAccepted>2015-07-27T07:08:11Z</dcterms:dateAccepted>
   <dcterms:available>2015-07-27T07:08:11Z</dcterms:available>
   <dcterms:created>2015-07-27T07:08:11Z</dcterms:created>
   <dcterms:issued>2015-07-27</dcterms:issued>
   <dc:type>conference output</dc:type>
   <dc:identifier>http://hdl.handle.net/10630/10156</dc:identifier>
   <dc:identifier>http://orcid.org/0000-0001-6726-4578</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>27th European Conference on Operational Research (EURO 2015)</dc:relation>
   <dc:relation>Glasgow, Reino Unido</dc:relation>
   <dc:relation>12/07/2015</dc:relation>
   <dc:rights>open access</dc:rights>
   <dc:rights>by-nc-nd</dc:rights>
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