Siting and sizing of dg for maximum cost saving in distribution system with increasing load scenario using fuzzy and water flow-like algorithm

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Published Sep 20, 2017
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Volume 13, Issue 3, September 2017

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K. Dhananjaya babu
Research Scholar, Dept. of EEE, Sri Venkateswara University, Tirupati-517502
A. Lakshmi Devi
Professor, Dept. of EEE, Sri Venkateswara University, Tirupati-517502

Abstract

This paper presents Distribution Generation (DG) placement in distribution systemsbased on cost objective function for a planning period of 10 years. The benefit of DG when connected to the grid mainly depends on the location and size of the same. The real loss index and voltage index were calculated and given as inputs to fuzzy inference system to generate DG location index. The high index values are prioritised in giving for DG locations. Water flow-like algorithm (WFA) is computed for finding the optimal size of DG which will maximise the objective function resulting in the saving for the system. In this paper, interest and inflation rates were taken into consideration to estimate the present cost value of the system. The result analyses are compared for constant load and increasing loadscenarios. It is observed that the invested price on DG is recovered within the planning period. The proposed approach is tested on an IEEE 33-bus system and the results obtained were presented.

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How to Cite
Dhananjaya babu, K., & Lakshmi Devi, A. (2017). Siting and sizing of dg for maximum cost saving in distribution system with increasing load scenario using fuzzy and water flow-like algorithm. Power Research - A Journal of CPRI, 487–496. Retrieved from https://node6473.myfcloud.com/~geosocin/CPRI/index.php/pr/article/view/102

References

  1. Ackermann, T., Andersson, G., S¨oder, L.: Distributed generation: a definition. Electric Power Systems Research Vol. 57, No. 3, pp. 195 – 204 (2001). DOI http://dx.doi.org/10.1016/S0378-7796(01)00101-8
  2. Peter Dondi, Deia Bayoumi, Christoph Haederli, Danny Julian and Marco Suter, “Network integration of distributed power generation”. J. of Power Sources 106, pp 1-9, 2002
  3. Acharya, N., Mahat, P., Mithulananthan, N.: An analytical approach for dg allocation in primary distribution network. International Journal of Electrical Power & Energy Systems, DOI http://dx.doi.org/10.1016/j.ijepes.2006.02.013, Vol. 28, No.10, pp. 669 – 678 (2006).
  4. A. Elmitwally,”A new algorithm for allocating multiple distributed generation units based on load centroid concept.”, Alexandria engineering journal, Vol. 52 pp. 655-663, 2013
  5. Doungquoc Hung and Nadaraj ahmithulananthan, “Multiple distributed generator placement in primary distribution networks for loss reduction.”, IEEE Trans. On Industrial electronics Vol 60, No 4. April 2013.
  6. Ioana Pisica, Petru Postolache, and Marcus M. Edvall, “Optimal planning of distributed generation via nonlinear optimization and genetic algorithms”, Handbook of Power Syst. Energy Systems, Springer-verlag berlin Heiddleberg, 2010.
  7. Wang, C., Nehrir, M.: Analytical approaches for optimal placement of distributed generation sources in power systems. Power Systems, IEEE Transactions on Vol. 19, No. 4, pp. 2068–2076, 2004. DOI 10.1109/TPWRS.2004.836189
  8. K.Vijaykumar and R.Jegatheesam, “Optimal location and sizing of DG for congestion management in deregulated power systems”, SEMCCO, 2012, LNCS 7577 pp. 679-686,2012
  9. M. Gandomkar, M. Vakilian and M. Ehsan, “A genetic-based tabu search algorithm for optimal DG allocation in distribution networks”, Electric Power comp. syst, 33:1351-1362,2005
  10. Amal A. Hassan, Faten H. Fahmy, Abd El Shafy, A. Nafeh and Mohamed A. Abu-elmagd, “Genetic single objective optimization for sizing and allocation of renewable DG systems.”, Int. J. of Sustainable energy. 2015
  11. Kansal, S., Tyagi, B., Kumar, V.: Cost benefit analysis for optimal distributed generation placement in distribution systems. International Journal of Ambient Energy 0(0), 1– 10 (0). DOI:10.1080/01430750.2015.1031407.,URL:http://dx.doi.org /10.1080/01430750.2015.1031407
  12. Shukla, T.N., Singh, S.P., Srinivasarao, V., Naik, K.B. “Optimal sizing of distributed generation placed on radial distribution systems”. Electric Power Components and Systems Vol. 38, No.3, pp. 260–274, 2010. DOI 10.1080/15325000903273403
  13. Devi, A.L., Subramanyam, B.: Optimal dg unit placement for loss reduction in radial distribution system- aaase study. ARPN Journal of Engineering and Applied Sciences Vol. 2, No. 6, pp. 57–61, 2007
  14. Reddy, M.D., Reddy, V.V.: Optimal capacitor placement using fuzzy and real coded genetic algorithm for maximum savings. Journal of Theoretical and Applied Information Technology pp. 219–226, 2008.
  15. F.-C. Yang and Y.-P. Wang, “Water flow-like algorithm for object grouping problems,” J. of the Chinese Inst. of Ind. Eng., Vol. 24, No. 6, pp. 475–488, 2007.
  16. T.-H. Wua, S.-H. Chung, and C.-C. Chang, “A water flow-like algorithm for manufacturing cell formation problems,” European J. of Ope. Research, pp. 346 – 360, 2010
  17. K. D. Babu and A. L. Devi, "Cost effective Distributed Generation Placement and sizing using Water Flow-like Algorithm," 2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE), Bangalore, 2016, pp. 1-6.doi: 10.1109/PESTSE.2016.7516370
  18. NREL: Distributed generation renewable energy estimate of costs. URL, http:www:n rel:gov=analysis=techlcoerecostest:html