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

With 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.

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

With 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.

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  • [1] Yıldırım V. Development of a raster based dynamic model with geographical information system for the determination of natural gas transmission pipelines. PhD, Karadeniz Technical University, Trabzon, Turkey, 2009.
  • [2] Esmaeili A, Esmaeili S. A new multiobjective optimal allocation of multitype FACTS devices for total transfer capability enhancement and improving line congestion using the harmony search algorithm. Turk J Electr Eng Co 2013; 21: 957–979.
  • [3] Ansari AJ, Ashraf I, Gopal B. Integrated fuzzy VIKOR and AHP methodology for selection of distributed electricity generation through renewable energy in India. International Journal of Engineering Research and Applications 2011; 1: 1110–1113.
  • [4] Azimi R, Esmaeili S, Multiobjective daily Volt/VAr control in distribution systems with distributed generation using binary ant colony optimization. Turk J Electr Eng Co 2013; 21: 613–629.
  • [5] Wan J, Zeng G, Qi Z, Su S. The application of AHP in oil and gas pipeline route selection. In: 19th International Conference on Geoinformatics; 24–26 June 2011; Shanghai, China. New York, NY, USA: IEEE. pp. 1–4.
  • [6] Mali V, Rao M, Mantha SS. Enhanced routing in disaster management based on GIS. In: International Conference on Intuitive Systems & Solutions; 5–6 January 2012; Mumbai, India. New York, NY, USA: Foundation of Computer Science, pp. 14–18.
  • [7] Nonis CN, Varghese K, Suresh KS. Investigation of an AHP based multi criteria weighting scheme for GIS routing of cross country pipeline projects. In: 24th International Symposium on Automation & Robotics in Construction; 11–15 August 2007; Kochi, India. Bratislava, Slovakia: IAARC. pp. 397–403.
  • [8] Sel¸cuk L. An avalanche hazard model for Bitlis Province, Turkey, using GIS based multicriteria decision analysis. Turk J Electr Eng Co 2013; 22: 523–535.
  • [9] Nataraj S. Analytic hierarchy process as a decision-support system in the petroleum pipeline industry. Issues In Information Systems 2005; 6: 16–22.
  • [10] Ozda˘go˘glu A, ¨ Ozda˘go˘glu G. Comparison of AHP and Fuzzy AHP for the multi-criteria decision making processes ¨ with linguistic evaluations. ˙Istanbul Ticaret Universitesi Fen Bilimleri Dergisi 2007; 11: 65–85. ¨
  • [11] Demircan S, Aydin M, Durduran SS. Finding optimum route of electrical energy transmission line using multicriteria with Q-learning. Expert Syst Appl 2011; 38: 3477–3482.
  • [12] Durduran SS, Aydın M. Energy transmission lines route optimization using GIS and a sample application. In: 3rd National Engineering Measurements Symposium; 24–27 October 2007; Konya, Turkey. pp. 459–464.
  • [13] Reis S, Nisancı R, Yomralıo˘glu T. Designing and developing a province-based spatial database for the analysis of potential environmental issues in Trabzon, Turkey. Environ Eng Sci 2009; 26: 123–130.
  • [14] Schmidt JA. Implementing a GIS Methodology for Siting High Voltage Electric Transmission Lines. Winona, MN, USA: Saint Mary’s University of Minnesota University Central Services Press, 1999.
  • [15] Demircan S. The road optimization of energy transmission line with multi agent systems. MSc, Sel¸cuk University, Konya, Turkey, 2009.
  • [16] Houston G, Johnson C. EPRI-GTC Overhead Electric Transmission Line Siting Methodology, Technical Report. Tucker, GA, USA: Georgia Transmission Corporation, 2006.
  • [17] Anavberokhai IO. Introducing GIS and multi-criteria analysis in road path planning process in Nigeria. MSc, University of G¨avle, G¨avle, Sweden, 2008.
  • [18] Adams WJL, Saaty R. Super Decisions Software Guide. Pittsburgh, PA, USA: Creative Decisions Foundation, 2003
  • [19] Kong F, Liu H. Applying fuzzy analytic hierarchy process to evaluate success factors of e-commerce. International Journal of Information and Systems Sciences 2005; 1: 406–412. [20] Chang DY. Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 1996; 95: 649–655.
  • [21] Topel A. The applications of the analytic hierarchy process based on fuzzy logic-fuzzy analytic hierarchy process. MSc, ˙Istanbul University, ˙Istanbul, Turkey, 2006.
  • [22] Zhaoyu P, Shengzhu L, Hong Z. The application of triangular fuzzy AHP in the power system load forecasting. In: International Conference on Computer Application and System Modeling; 22–24 October 2010; Taiyuan, China. New York, NY, USA: IEEE. pp .V15-494–V15-497.
  • [23] Yan-Juan L. Application of fuzzy analytic hierarchy process in the selection of highway route program. In: Second International Conference on Mechanic Automation and Control Engineering; 15–17 July 2011; Hohhot, China. New York, NY, USA: IEEE. pp. 1985–1988.