AHP incorporation and fuzzy inference system for power transmission rout finding

1- Establishing power transmission lines is one of the most important activities of ourcountry’s electricity industry. But great expense of the establishment on one hand, and mutual effects of natural and environmental causes on the other hand, make us to consider different parameters in route-finding of these lines. All these parameters are in direct relation with location of masts and power transmission lines’ equipment. 2- Methodology The method of study was incorporation of fuzzy and AHP for optimal rout –finding of power transmit ion lines. For the aim of this paper which is GIS application in electricity industry specially rout finding of power transmission of GIS software capabilities in electricity network and its function has been considered. 3– At first, usual and conventional methods of rout finding of transmission lines is presented, later the rout-finding direction of transmission lines including stages like; determining the study location, preparing conceptual model, selecting rout-finding method ad data structure, determining the effective factors in route-finding of power transmission lines, preparing the information, analyzing the data using MATLAB software, incorporating the information, locating the masts, evaluating routes and selecting the optimal route is covered in this research. In order to find the most optimal route between two intended points, first of all we need to write software in MATLAB environment and by using Fuzzy Interface System, the suitable points for setting the masts and measuring cost map would be available. Then we may get the shortest distance between the two points using Short Path Function. For weighting the factors used the AHP model. In order to incorporate the information different models of FIS would be examined. After road designing in GIS environment, each road should be evaluated in terms of environmental characteristic, standard observation, shortest regarding other routes to select an optimal route. Regarding this study aim which is an optimal rout selection of power transmission lines, 5 detected routs were compared base on deferent fuzzy rules (Table 1). Table 1: Route parameters calculatedbased on different operator for optimal rout Image MODEL PATH LENGTH(KM) Coincidence (%) QUALIFICATION fuzzy And 311.21 35% WEAK fuzzy Or 644.21 30% WEAK fuzzy Product 099.21 45% GOOD fuzzy Sum 750.20 40% MEDIUM probabilistic-OR 285.21 55% GOOD fuzzy Gamma 21.762 60% GOOD fuzzy Gamma IN Weighted Role 216.21 70% EXCELLENT In addition to these routs designed route by electricity engineers was selected as an index and obtained results were compared with each other. Finally, the rout optima by operator GAMA in weight rule have been selected as an optimal route (Fig1). Fig1: The comparison of Gamma fuzzy designed rout with existing rout.4– In the method, fuzzy inference which is actually the incorporation of AHP and fuzzy method was selected as the best method from experts point of view, because each rule was selected based on its relative importance. FuzzyProductmodel and probabilistic-OR model are better than other models after Gamma fuzzy and gamma fuzzy usingWeighted Role. Also, fuzzy model results have better modeling than linear models, this is because of the vagueness in the expert's view and nonlinear parameter dependence in rout finding of power transmission line. If rout finding of power transmission is done by paying attention to new factors and their role in rout finding, it is expected that better results to occur.