Total views : 160

Enhancement of Distribution System Loadability DG under Reconfigured Environment


  • Department of Electrical and Electronics Engineering, SRM University, Chennai - 603203, Tamil Nadu, India


Objectives: In this paper a comprehensive analysis of DG is done under initial configuration (base case) as well as with the feeder reconfigured environment in order to minimize the losses and to enhance voltage stability index. Methods/Analysis: In today’s trend delivery of power to customers have become a major issue in the field of power systems, one as such solution to this issue is usage of small units named as Distributed Generators (DG) entered the area of distribution systems. Findings: With the involvement of DG’s, a given system can achieve an improvement in terms of reliability, stability and reduction of losses. It just not only by using DG alone will solve the issue, but also mainly we have to focus on its location, size and the type which has to be used. Application /Improvement: For this analysis a standard IEEE 33-bus and 69-bus test distribution system is taken under nominal load consideration and the results are tabulated.


Distributed Generation, Distribution System, Real Power Loss, Reconfiguration, Voltage Profile, Voltage Stability Index.

Full Text:

 |  (PDF views: 152)


  • Merlin A, Back H. Search for a minimal loss operating spanning tree configuration in an urban power distribution system.Proceedings of 5th Conference on Power System Computing; Cambridge, U.K. 1975 Sep. p. 1–18.
  • Shirmohammadi D, Hong HW. Reconfiguration of electric distribution networks for resistive line loss reduction. IEEE Transaction on Power Delivery.1989 Apr; 4(2):1492-8.
  • Civanlar S, Grainger JJ, Yin H, Lee SSH. Distribution feeder reconfiguration for loss reduction. IEEE Transaction on Power Delivery. 1988 Jul; 3(3):1217-23.
  • Rudnick H, Harnisch I. Reconfiguration of Electric Distribution Systems. Revista Facultad De Ingenieria.1997; 4:1-8.
  • Delbem ACB, Bretas NG. Distribution system reconfiguration using graph chain representation. International Conference on Power System Technology, Power Con; 2000. p. 439-43.
  • Chai W, Yafeng W. Optimal allocation of switches in DG enhanced distribution systems. Power and Energy Engineering Conference (APPEEC); Asia-Pacific. 2011 Mar. p. 1-5.
  • Aref A, Davoudi M, Davoudi M. Optimal placement and estimation of DG capacity in distribution network’s using genetic algorithm-based method. Indian Journal of Science and Technology. 2012 Mar; 5(3):2281-6.
  • Ackermann T, Andersson GR, Soedera L. Distributed generation: A definition. Electric Power Systems Research. 2001 Apr; 57(3):195-204.
  • Kumar NMG, Sangamewara Raju P. Reliability improvement of radial distribution system with incorporating protective devises -case study. International Journal of Engineering Science and Technology. 2012 Sep; 4(2):60-74.
  • Al Abr RS, El-Saadany EF, Atwa YM. Optimal placement and sizing method to improve the voltage stability margin in a distribution system using distributed generation. IEEE Transaction on Power Systems. 2013 Feb; 28(1):326-34.
  • Farhadi P, Shayeghi H, Sojoudi T, Karimi M. Customer reliability improvement and power loss reduction in distribution systems using distributed generations. Indian Journal of Science and Technology. 2012 Mar; 5(3):2313-7.
  • Baran ME, Wu F. Network reconfiguration in distribution system for loss reduction and load balancing. IEEE Transaction on Power Delivery. 1989 Apr; 4(2):1401-7.
  • Srinivasa Rao R, Narasimham SVL, Raju MR, Srinivasa Rao A. Optimal network reconfiguration of large-scale distribution system using harmony search algorithm. IEEE Transaction on Power System. 2011 Aug; 26(3):1080-8.
  • Savier JS, Das D. Impact of network reconfiguration on loss allocation of radial distribution systems. IEEE Transaction on Power Delivery. 2007 Oct; 2(4):2473-80.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.