A Multi-criteria decision analysis approach to GIS-based route selection for overhead power transmission lines

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2013
Dedemen, Yiğit
Multi-criteria decision analysis (MCDA) techniques are popular to select the route of linear structures. In this study, Geographical Information Systems (GIS) is employed to assess all the criteria, which are requested to determine the preferable route of power transmission line (PTL). A MCDA model is established on the basis of the Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). Because of the complexity of the routing problem, GIS and MCDA technologies are used synergistically to generate a complete solution. In this thesis, a GIS-based route selection for overhead power transmission lines is presented in detail taking advantage of the MCDA methods. On the contrary to previous works, this study resolves the routing problem with a combination of the MCDA methods integrated with multi-decision maker. In addition, the risk index, impact factor, and cost are defined as some criteria for evaluation of alternative routes. The cost criterion, derived by the PTL design, contains the material, installation, and transportation expenses; and in addition, the extra cost of the cell where the power structure is located on the cost surface. The multi-layers are relatively compared to specify the weight of each layer using the AHP method by the three decision makers with different professional backgrounds on PTL. Four different routes are generated according to preferences of the decision makers and the mean of individuals’ judgments. In the PROMETHEE process, supported by the AHP method, the weight of each criterion is derived from the consensus of the decision makers. Finally, the route alternatives are compared according to criteria and then, the outranked route alternative is specified.
Citation Formats
Y. Dedemen, “A Multi-criteria decision analysis approach to GIS-based route selection for overhead power transmission lines,” M.S. - Master of Science, Middle East Technical University, 2013.