Optimization of electrical power transmission lines' routing using AHP, fuzzy AHP, and GIS

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dc.contributor.authorEroglu, Hasan
dc.contributor.authorAydin, Musa
dc.date.accessioned2020-03-26T19:06:33Z
dc.date.available2020-03-26T19:06:33Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractWith the increase of people's need for energy, electrical energy transmission has become a very important issue as well as electrical power generation. One of the most important problems in energy transmission is finding the best route in a very complex study area. To date, many people from different disciplines have come together to find the best routes by manual methods like using paper maps and deciding which route is the least-cost path (LCP) to the destination point. Today it is known that, in engineering problems, and especially in path-finding or site-placing problems, the Geographic Information System (GIS) is the most powerful tool. On the other hand, as finding the best route is a very complicated problem and many criteria should be considered, including slope, landslide, road/railway/pipeline crossing, ice zones, distances to roads, national parks, archaeological areas, residential areas forests, and river crossings, multicriteria decision methods like the analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (FAHP) should be used to make the most accurate decisions. In this study, the AHP and FAHP are used to weight criteria relevant to energy transmission line (ETL) routing. According to the criteria, digital maps of the sample study area are edited, weighted, converted to raster-based format, and gathered using the Environmental Systems Research Institute's ArcGIS Desktop 10 software. After generation of the weighted surface map, the LCP tool is used to find the best route. By selecting different start and end points in the sample study area, accuracy and performance of the best routes according to the LCP algorithm are assessed and some problems of the routes for ETL routing are presented. With this study, mistakes by manual methods will decrease in ETL routing and other routing problems.en_US
dc.identifier.doi10.3906/elk-1211-59en_US
dc.identifier.endpage1430en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issn1303-6203en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1418en_US
dc.identifier.urihttps://dx.doi.org/10.3906/elk-1211-59
dc.identifier.urihttps://hdl.handle.net/20.500.12395/32398
dc.identifier.volume23en_US
dc.identifier.wosWOS:000359124800017en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectOptimum routeen_US
dc.subjectmulticriteria decisionen_US
dc.subjectleast cost pathen_US
dc.subjectfuzzy analytic hierarchy processen_US
dc.subjectenergy transmission lineen_US
dc.subjectGISen_US
dc.titleOptimization of electrical power transmission lines' routing using AHP, fuzzy AHP, and GISen_US
dc.typeArticleen_US

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