Optimal Planning of Voltage Controlled Distributed Generators for Power Loss Reduction in Unbalanced Distribution Systems

Authors: Mahmoud M. Othman, Yasser G. Hegazy

Abstract:

This paper proposes a novel heuristic algorithm that aims to determine the best size and location of distributed generators in unbalanced distribution networks. The proposed heuristic algorithm can deal with the planning cases where power loss is to be optimized without violating the system practical constraints. The distributed generation units in the proposed algorithm is modeled as voltage controlled node with the flexibility to be converted to constant power factor node in case of reactive power limit violation. The proposed algorithm is implemented in MATLAB and tested on the IEEE 37 -node feeder. The results obtained show the effectiveness of the proposed algorithm.

Keywords: Distributed generation, heuristic approach, Optimization, planning.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1109227

References:

[1] A. Y. Abdelaziz, Y. G. Hegazy, W. El-Khattam and M. M. Othman, ‘A Multiobjective Optimization for Sizing and Placement of Voltage Controlled Distributed Generation Using Supervised Big Bang Big Crunch Method’, Electric Power Components and Systems, vol. 43, no. 1, pp. 105-117, Jan. 2015.
[2] G. Celli, and F. Pilo “Optimal distributed generation allocation in MV distribution networks” 22nd IEEE Power Engineering Society International Conference on Power Industry Computer Applications, 2001. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 20-24, pp. 81 – 86, May 2001.
[3] W. El-Khattam, K. Bhattacharya, Y. Hegazy, and M.M.A Salama, “Optimal investment planning for distributed generation in a competitive electricity market” IEEE Transactions on Power Systems, vol. 19, no.3, pp. 1674 – 1684, 2004.
[4] W. El-Khattam, K. Bhattacharya, Y. Hegazy, and M.M.A Salama, “An integrated distributed generation optimization model for distribution system planning” IEEE Transactions on Power Systems, vol. 20, no. 2 pp. 1158 – 1165, 2005.
[5] S. Santoso, N. Saraf, G.K.Venayagamoorthy, “Intelligent Techniques for Planning Distributed Generation Systems” IEEE Power Engineering Society General Meeting, pp. 1 - 4, 2007.
[6] M. Sahraei-Ardakani, M.Peydayesh, and A. Rahimi-Kian, “Multi attribute optimal DG planning under uncertainty using AHP method” IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, pp. 1 – 5, 2008.
[7] L. F. Ochoa and G. P. Harrison, “Minimizing energy losses: Optimal accommodation and smart operation of renewable distributed generation,” IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 198–205, Feb. 2011.
[8] G.P. Harrison, A. Piccolo, P. Siano, and A.R. Wallace,: ‘Hybrid GA and OPF evaluation of network capacity for distributed generation connections’, Electric Power System Research, vol.78, no.3, pp. 392– 398, 2008.
[9] C. L. T. Borges and D. M. Falcão, “Optimal distributed generation allocation for reliability, losses, and voltage improvement,” International Journal of Elecric. Power and Energy Systems, vol. 28, no. 6, pp. 413– 420, Jul. 2006.
[10] R. K. Singh and S. K. Goswami, “Optimum allocation of distributed generations based on nodal pricing for profit, loss reduction, and voltage improvement including voltage rise issue,” International Journal of Elecric. Power and Energy Systems, vol. 32, no. 6, pp. 637–644, Jul. 2010.
[11] J. M. López-Lezama, J. Contreras, and A. Padilha-Feltrin, “Location and contract pricing of distributed generation using a genetic algorithm,” International Journal of Elecric. Power and Energy Systems, vol. 36, no. 1, pp. 117–126, Mar. 2012.
[12] Koichi Nara, Yasuhiro Hayashi, Kazushige Ikeda and Tamoo Ashizawa “Application of Tabu Search to Optimal Placement of Distributed Generators,” Proceedings of IEEE PES Winter Meeting, Columbus (USA), 28 -2,vol.2, pp.918-923, Feb. 2001.
[13] C. Novoa and T. Jin, “Reliability centered planning for distributed generation considering wind power volatility,” Electric Power System Research., vol.81, no. 8, pp. 1654–1661, Aug. 2011.
[14] F.S. Abu-Mouti M.E. El-Hawary “Heuristic curve-fitted technique for distributed generation optimisation in radial distribution feeder systems” IET Gener., Transm., Distrib., vol. 5, no. 2, pp. 172–180, 2011.
[15] F. S. Abu-Mouti and M. E. El-Hawary, “Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm,” IEEE Tranactions on Power Delivery., vol. 26, no. 4, pp. 2090–2101, Oct. 2011.
[16] A. Y. Abdelaziz, Y. G. Hegazy, W. El-Khattam and M. M. Othman, ‘Optimal Planning of Distributed Generators in Distribution Networks Using Modified Firefly Method’, Electric Power Components and Systems, vol. 43, no.3., pp. 320-333, Feb. 2015.
[17] M. M. Othman, W. El-Khattam, Y. G. Hegazy and A. Y. Abdelaziz, ‘Optimal Placement and Sizing of Distributed Generators in Unbalanced Distribution Systems Using Supervised Big Bang Big Crunch Method’, IEEE Transactions on Power Systems, to be published.
[18] Kersting, W.H., Distribution System Modeling and Analysis, CRC Press, New York, 2002.
[19] D. Shirmohammadi, H.W. Hong, A. Semlyen, and G. X. Luo, “A compensation-based power flow method for weakly meshed distribution and transmission networks,” IEEE Transactions on Power Systems, vol. 3, pp. 753–762, May 1988.
[20] Sarika Khushalani, Jignesh M.Solanki and Noel N.Schulz “Development of Three-Phase Unbalanced Power Flow Using PV and PQ Models for Distributed Generation and Study of the Impact of DG Models” IEEE Transactions on Power Systems, vol. 22, pp.1019-1025, Aug. 2007.