Decision Making in Distribution System using different MADM Methods

IJCA Proceedings on Recent Trends in Electrical Engineering
© 2018 by IJCA Journal
RTEE 2017 - Number 1
Year of Publication: 2018
S. G. Kamble
U. V. Patil
K. Vadirajacharya

S G Kamble, U V Patil and K Vadirajacharya. Article: Decision Making in Distribution System using different MADM Methods. IJCA Proceedings on Recent Trends in Electrical Engineering RTEE 2017(1):11-17, September 2018. Full text available. BibTeX

	author = {S. G. Kamble and U. V. Patil and K. Vadirajacharya},
	title = {Article: Decision Making in Distribution System using different MADM Methods},
	journal = {IJCA Proceedings on Recent Trends in Electrical Engineering},
	year = {2018},
	volume = {RTEE 2017},
	number = {1},
	pages = {11-17},
	month = {September},
	note = {Full text available}


Distribution system (DS) delivers electrical power to the end users and is the first interface of the utility with the consumers. Distribution system contributes the highest power loss due to its operation in low voltage level. Due to deregulation and competition, distribution utilities are under pressure to minimize operation cost by reducing losses and to improve reliability to enhance the overall performance. The distribution system is reconfigured for the purpose of loss minimization, load balancing on the feeders, relieving overloads, maintenance etc. , it also affects voltage profile, reliability, power factor, etc. In each configuration (switching combinations), these parameters are affected (changed) and these alternatives are available for the decision makers (DM). Multi-attribute decision-making (MADM) is the well-known branch of decision making which deals with decision problems through a number of qualitative and quantitative criteria. In this paper different MADM methods SAW, WPM, TOPSIS and PROMETHEE are proposed for finding the compromised best radial configuration by considering loss minimization, reliability indices etc. from available alternatives and results are compared.


  • S. Wong, K. Bhattacharya and J. D. Fuller, Electric power distribution system design and planning in a deregulated environment, IET- Generation, Transmission & Distribution, 3(12) (2009) 1061-1078.
  • IEEE Guide for Electric Power Distribution Reliability Indices, IEEE Std. 1366-2003, May 2004.
  • Merlin and H. Back, "Search for a minimal-loss operating spanningtree configuration in urban power distribution systems," in Proc. 5th Power Syst. Comp. Conf. , Cambridge, U. K. , Sep. 1–5, 1975.
  • M. E. Baran and F. F. Wu, "Network reconfiguration in distribution systems for loss reduction and load balancing," IEEE Trans. Power Del. , vol. 4, no. 2, pp. 1492–1498, Apr. 1989.
  • D. Shirmohammadi and H. W. Hong, "Reconfiguration of electricdistribution networks for resistive line losses reduction," IEEE Trans. Power Syst. , vol. 4, no. 2, pp. 1492–1498, Apr. 1989.
  • S. K. Goswami and S. K. Basu, "A new algorithm for the reconfigurationof distribution feeders for loss minimization," IEEE Trans. PowerDel. , vol. 7, no. 3, pp. 1484–1491, Jul. 1992.
  • K. Nara, A. Shiose, M. Kitagawa, and T. Ishihara, "Implementation ofgenetic algorithm for distribution systems loss minimum re-configuration," IEEE Trans. Power Syst. , vol. 7, no. 3, pp. 1044–1051, Aug. 1992.
  • T. E. McDermott, I. Drezga, and R. P. Broadwater, "A heuristic nonlinear constructive method for distribution system reconfiguration," IEEE Trans. Power Syst. , vol. 14,no. 2, pp. 478–483, May 1999.
  • C. T. Su and C. S. Lee, "Network reconfiguration of distribution systems using improved mixed-integer hybrid differential evolution," IEEE Trans Power Del. , vol. 18, no. 3, pp. 1022–1027, Jul. 2003.
  • E. López, H. Opazo, L. García, and P. Bastard, "Online reconfigurationconsidering variability demand:Applications to real networks," IEEETrans. Power Syst. , vol. 19, no. 1, pp. 549–554, Feb. 2004.
  • R. Srinivasa Rao, S. V. L. Narasimham, M. Ramalinga Raju, and A. Srinivasa Rao, "Optimal network reconfiguration of large-scale distribution system using harmony search algorithm," IEEE Trans. Power Syst. , vol. 26, no. 3, pp. 1080–1088, Aug. 2011.
  • B. Amanulla, S. Chakrabarti, and S. N. Singh, "Reconfiguration of power distribution systems considering reliability and power loss," IEEE Trans. Power Del. , vol. 27, no. 2, pp. 918–926, Apr. 2012.
  • A. Kavousi-Fard and T. Niknam, "Optimal distribution feeder reconfiguration for reliability improvement considering uncertainty," IEEE Trans. Power Del. , vol. 29, no. 3, pp. 1344–1353, Jun. 2014.
  • E. Triantaphyllou, B. Shu, S. Nieto Sanchez, and T. Ray, "Multi-Criteria Decision Making: An OperationsResearch Approach"Encyclopedia of Electrical and Electronics Engineering,(J. G. Webster, Ed. ), John Wiley & Sons, New York, NY, Vol. 15, pp. 175- 186, (1998).
  • R. Venkata Rao, Decision Making in the Manufacturing Environment, Springer-Verlag London Limited, 2007, pp. 27-41.
  • R. Venkata Rao, B. K. Patel, "Decision making in the manufacturing environment using an improved PROMETHEE method" International Journal of Production Research, pp. 1-18, 2009, iFirst
  • P. Espie, G. W. Ault, G. M. Burt and J. R. McDonald, Multiple criteria decision making techniques applied to electricity distribution system planning, IEE Proceedings-Generation, Transmission and Distribution, 150(5)(2003) 527-535.
  • Tiefeng ZHANG, Guangquan ZHANG, Jun MA, Jie LU, "Power Distribution System Planning Evaluation by a Fuzzy Multi-Criteria Group Decision Support System", International Journal of Computational Intelligence Systems, Vol. 3, No. 4 (October, 2010), 474-485
  • Tiefeng Zhang, Jie Lu, Guangquan Zhang, Jianwei Gu "A Novel Evaluation Approach for Power Distribution System Planning based on Linear Programming Model and ELECTRE III", 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1921 - 1928
  • Nikolaos G. Paterakis, Andrea Mazza, Sergio F. Santos, Ozan Erdinç, Gianfranco Chicco, AnastasiosG. Bakirtzis, and João P. S. Catalão, " Multi-Objective Reconfiguration of Radial Distribution Systems using Reliability Indices," IEEE Trans. On Power Systems, vol. 31, pp. 1048-1062, March 2016.
  • S. G. Kamble and U. V. Patil, "Performance improvement of distribution systems by using PROMETHEE – Multiple Attribute Decision Making method", International Conference on Communication and Signal Processing (ICCASP-2016) at Dr. Babsaheb Ambedkar Technological University, Lonere-Raigad.