Optimal Allocation of Distributed Generators in a Competitive Electricity Market

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N. Kumar
B. K. Keshavan
R. Nagaraja

Abstract

This paper presents a sensitivity based technique for assisting network planners to determine the optimal location and capacity of distributed generators (DG) in a capacity and location constrained distribution network with the objective of minimization of losses in a competitive electricity market. The liberalization of electricity markets has changed the way power generation technologies are valued. The issues that need to be considered in the choice of rating and positioning of DG include both technical and commercial factors. The proposed methodology takes this aspect into consideration and only from among the practicable sites specified by the Distribution system planner both optimal locations and capacity of DGs are determined. It has been applied to a test system of nine bus radial distribution network considered as capacity and location constrained for implementing DG. The technique is efficient and very much useful as it can be directly applied to any distribution network having practical constraints for implementing DG. To show the effectiveness of this technique it was applied to IEEE 6-bus system without any location or capacity constraint and the result was compared with test results of other methods. It is interesting to note that over a wide range of DG penetration the proposed methodology results in largest reduction in loss per unit DG penetration.

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How to Cite
Kumar, N., Keshavan, B. K., & Nagaraja, R. (2009). Optimal Allocation of Distributed Generators in a Competitive Electricity Market. Power Research - A Journal of CPRI, 5(2), 77–86. Retrieved from https://cprijournal.in/index.php/pr/article/view/698

References

  1. Carpinelli G, Celli G, Pilo F and Russo A. "Distributed Generation Siting and Sizing under uncertainty", 2001 IEEE Porto Power Tech Conference, Porto, Portugal, Sep 2001, pp. 376-401.
  2. Sujatha Kotamarty, "Impact Of distributed generation on distribution contingency analysis", A Thesis Submitted To The Faculty Of Mississippi State University.
  3. Freji P A J, Cobben J F G, Sloot J G J, and Kling W L. "Influences of dispersed generation on the performance of the electricity grid", Electrical Power Systems, Eindhoven University of Technology, The Netherlands.
  4. "Locational aspects of distributed Generation", http://www. pserc.wisc.edu
  5. A collective review of dane county’s energy needs, "Report on Electric Reliability in Dane County" - ATC EI Book.
  6. Kuri B, Redfern M A and Li F. "Optimisation of rating and positioning of dispersed generation with minimum network disruption", Power Engineering Society General Meeting, 2004 IEEE, vol. 2, June 2004 pp. 2074-2078.
  7. Bala J L, Kuntz P A and Taylor R M. "Sensitivity based optimal capacitor placement on a radial distribution feeder", IEEE Technical Applications Conference and Workshops Northcon 95, Oct 1995, pp. 225-230.
  8. Srinivasan Sundhararajan and Anil Pahwa, "Optimal selection of capacitors for radial distribution systems using a genetic algorithm", IEEE Trans on Power Systems, Vol. 9, No. 3, Aug 1994, pp. 1499-1507.
  9. Popovic D H, Greatbanks J A, Begovic M and Pregelj A. "Placement of distributed generators and reclosers for distribution network security and reliability", Intl. Jn Electrical Power and Energy Systems, 2005, pp. 398-408.
  10. Kim J O, Park S K, Park K W and Singh C. "Dispersed generation planning using improved hereford ranch algorithm" Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence, May 1998, pp. 678-683.
  11. Pathomthat Chiradeja and Ramkumar R. "An approach to quantify the technical benefits of distributed generation" IEEE Transactions on Energy Conversion, Vol. 19, No. 4, December 2004, pp. 764-773.