Deliverables of Re-configuration in Autonomous Micro-grids

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Published Mar 2, 2014
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Volume 10, Issue 1, March 2014

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M. Venkata Kirthiga
National Institute of Technology Tiruchirappalli, Tirucirappalli-620015, Tamil Nadu
S. Arul Daniel
National Institute of Technology Tiruchirappalli, Tirucirappalli-620015, Tamil Nadu

Abstract

Distribution Systems with optimally sized Distributed Generators(DGs) placed at optimal locations would become Micro-grids. These micro-grids operate either in non-autonomous mode (in conjunction with the utility grid) or in autonomous mode (in the absence of the utility grid) depending on the penetration level and sustainability of the DGs connected. This paper has suggested an optimal structure for autonomously operated micro-grids by re-configuring the radial system into a weakly meshed system. The deliverables of the proposed reconfiguration strategy in autonomous micro-grids are discussed in detail in this paper. The proposed reconfiguration strategy is found to ensure continuous power supply to the select customers of the micro-grid by enhancing a stable operation of the generators to avoid formation of accidental islands on line outages and minimizing the distribution losses. MATLAB code has been developed for the proposed methodology of reconfiguration and the standard 33 bus distribution system has been used to validate the proposed algorithm.

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How to Cite
Venkata Kirthiga, M., & Arul Daniel, S. (2014). Deliverables of Re-configuration in Autonomous Micro-grids. Power Research - A Journal of CPRI, 75–86. Retrieved from https://node6473.myfcloud.com/~geosocin/CPRI/index.php/pr/article/view/839

References

  1. Chowdhury A.A., Agarwal S.K. and Koval D.O., ‘Reliability modeling of Distributed Generation in Conventional Distribution Systems Planning and Analysis’, IEEE Trans. on Industry Applications, Vol. 39, No. 5, Pp; 1493– 1498, 2003.
  2. L asseter R.H. and Paolo Piagi, ‘Micro-grid: A Conceptual Solution’, IEEE International Conference on PESC’04, Germany, Pp; 1-6, 2004.
  3. Momoh J. and Sowah R.A., ‘Distribution System Reliability in a Deregulated Environment: A Case Study’, IEEE Transmission and Distribution Conference and Exposition, 2, Pp; 562 – 567, 2003..
  4. Caisheng Wang and M. Hashem Nehrir, ‘Analytical Approaches for Optimal Placement of Distributed Generation Sources in Power Systems’, IEEE Trans. on Power Systems, Vol. 19, No. 4, Pp; 20682076, 2004.
  5. Edwin Haesen, Marcelo Espinoza, Bert Pluymers, Ivon Geothals, Vuvan thong, John Driesen, Ronnie Belmans and Bart De Moor, ‘Optimal placement and Sizing of Distributed Generator units using Genetic Optimization Algorithms’, Electrical power quality and Utilization Journal, Vol.11, No.1, 2005.
  6. Mallikarjuna R.Vallem and Joydeep Mithra, ‘Siting and Sizing of Distributed Generation for Optimal Micro-grid Architecture’, Electrical Utility Management program, New Mexico University Las creces, 2005.
  7. Katiraei F., Iravani M.R. and Lehn P.W., ‘Micro-grid autonomous operation during and subsequent to islanding process’, IEEE Trans. on Power Delivery, Vol. 20, No. 1, Pp: 248–257, 2005.
  8. Agalgaonkar P., Dobariya C.V., Kanabar M.G., Khaparde S.A. and Kulkarni S.V., ‘Optimal Sizing of Distributed generators in Micro-grids’, Power India conference, 2006 IEEE.
  9. Kumar A. and Gao W., ‘Optimal distributed generation location using mixed integer nonlinear programming in hybrid electricity markets’, IET Generation, Transmission and Distribution, Vol.4, No.2, Pp; 281-298, 2010.
  10. Cossi A.M., L.G.W.daSilva, Lazaro A.R. and Mantovani J.R.S., ‘Primary power distribution systems planning taking into account reliability, operation and expansion costs’, IET Generation, Transmission and Distribution, Vol. 6, No. 3, Pp; 274-284, March 2012.
  11. Civanlar S., Grainger J.J., Yin H. and Lee S.S.H., ‘Distribution feeder reconfiguration for loss reduction’, IEEE Trans. on Power Delivery, Vol. 3, No. 3, Pp; 1223 – 1227, 1988.
  12. Baran M.E. and Wu F.F., ‘Network reconfiguration in distribution systems for loss reduction and load balancing’, IEEE Trans. on Power Delivery, Vol. 4, No. 2, Pp; 1401–1407, 1989.
  13. Gomes F.V., Carneiro Jr S., Pereira J.L.R., Vinagre M.P. and Garcia P.A.N., ‘A new heuristic reconfiguration algorithm for large distribution systems’, IEEE Trans. on Power Systems, Vol. 20. No. 3, Pp;1373–1378, 2005.
  14. Gomes F.V., Carneiro Jr S., Pereira J.L.R., Vinagre M.P., Garcia P.A.N. and Araújo L.R., ‘A new distribution system reconfiguration approach using optimal power flow and sensitivity analysis for loss reduction’, IEEE Trans. on Power Systems, Vol. 21, No. 4, Pp; 1616–1623, 2006.
  15. Chandra Mohan S., Kumudini Devi K.P. and Bala Venkatesh, ‘Radial System Reconfiguration to Minimize Operating Costs in Markets’, International Journal of Emerging Electric Power Systems, Vol.8 Iss.1, Art.2, 2007.
  16. Z henkun Li, Xingying Chen, Yi Sun and Haoming Liu, ‘A Hybrid Particle Swarm Optimization Approach for Distribution Network Reconfiguration Problem’, IEEE conference, 2008.
  17. Raju G.K.V. and Bijwe P.R., ‘An efficient algorithm for loss reconfiguration of distribution system based on sensitivity and heuristics’, IEEE Trans. on Power Systems, Vol. 23, No. 3, Pp;1280–1287, 2008.
  18. Singh S.P., Raju G.S., Rao G.K. and Afsari M., ‘A heuristic method for feeder reconfiguration and service restoration in distribution networks’, International Journal of Electric Power Energy Systems, Vol. 31(7–8), Pp; 309–314, 2009.
  19. Shirmohammadi D., Hong H. W., Semlyen A. and Luo G. X., ‘A compensation-based power flow method for weakly meshed distribution and transmission networks’, IEEE Trans. on Power Systems, Vol. 3, Pp; 753–762, 1988.
  20. Tsai-Hsiang Chen, Mo-Shing Chen, KabJu Hwang, Paul Kotas and Elie A. Chebli, ‘Distribution System Power Flow analysis– Rigid Approach’, IEEE Trans. on Power Delivery, Vol.6,No.3,Pp;1146 – 1152, 1991.
  21. Fan Zhang and Carol S.Cheng, ‘A Modified Newton Method for Radial Distribution System Power Flow Analysis’, IEEE Trans. PS, Vol. 12, No. 1, Pp; 389 – 397, 1997.
  22. Jen-Hao Teng and Chuo-Yean Chang, ‘A Novel and Fast Three-Phase Load Flow for Unbalanced Radial Distribution Systems’, IEEE Trans. on Power Systems, Vol. 17, No. 4, Pp; 1238-1244, 2002.
  23. Paula A.N.Garcia, Jose Luiz R.Periera, Sandoval Carneiro, Vander M. da Costa and Nelson Martins, ‘Three-phase power flow calculations using current injection method’, IEEE Trans. on Power Systems, Vol. 15, No. 2, Pp; 508 – 514, 2000.
  24. Zimmerman R.D. and Chiang H.D., ‘Fast decoupled power flow for unbalanced radial distribution systems’, IEEE Trans. on Power Systems, Vol. 10, Pp; 2045–2052, 1995.
  25. Arturo Losi and Mario Russo, ‘ObjectOriented Load Flow for Radial and Weakly Meshed Distribution Networks’, IEEE Trans. on Power Systems, Vol. 18, No. 4,Pp; 1265-1274, 2003.
  26. Chang G.W., Chu S.Y., and Wang H.L., ‘An Improved Backward/Forward Sweep Load Flow Algorithm for Radial Distribution Systems’, IEEE Trans. on Power Systems, Vol. 22, No. 2, Pp; 882-884, 2007.
  27. Sivanagaraju S. and Viswanatha Rao J., ‘Optimal conductor selection in radial distribution system using discrete Particle Swarm Optimization’, World Journal of Modeling and Simulation, Vol. 5, No. 3, pp. 183 – 191, 2009.
  28. Sivanagaraju S., Sreenivasulu N., Vijayakumar M., and Ramana T., ‘Optimal conductor selection for radial distribution systems’, Electric Power Systems Research, Vol. 63, No.2, Pp; 95-103, 2002.