Abstract
Power loss minimization is an important aspect in distribution System where the load variation is more compared other systems. There are different methods to minimize the power loss like DG placement, capacitor placement, load balancing etc. Among those methods DG placement was much beneficial because it is directly related to real power loss. This paper is based on power loss minimization by the placement of distributed generators (DG) in distribution system. The location of DG is found with the help of voltage stability index (VSI) and DG size is varied in small steps and corresponding power loss is calculated by running the power flow and the result obtained is verified by Particle Swarm Optimization Technic. The simulation study is carried out on a 33 bus Distribution System by considering different load models.
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References
Ackermann, Anderson, G., Sooder, L.S.: Distributed generation: A generation. Electrical Power Systems Research 57 (2001)
EI-Khattam, W., Salama, M.M.A.: Distributed generations technologies, definitions and benefits. Electrical Power Systems Research, 119–128 (2004)
Ghosh, S.: Optimal sizing and placement of distributed generation in a network system. Electrical Power and Energy Systems, 849–856 (2010)
Gozel, T., Hakan Hocaoglu, M.: An analytical method for the sizing and siting of distributed generators in radial systems. Electrical Power Systems Research, 912–918 (2009)
Keane, A., O’Malley, M.: Optimal Allocation of Embedded Generation on Distribution Networks. IEEE Transactions on Power Systems 20(3), 1640–1646 (2005)
Vallem, M.R., Mitra, J.: Siting and Sizing of Distributed Generation for Optimal Microgrid Architecture. In: IEEE Conference, pp. 611–616 (2005)
Wichit, K., Weerakorn, O.: Optimal Placement of Distributed Generation Using Particle Swarm Optimization. M. Tech Thesis. AIT, Thailand (2005)
Lalitha, M.P., Reddy, V.C., Usha, V., Reddy, N.S.: Application of fuzzy and PSO for DG placement for minimum loss in radial distribution system. ARPN Journal of Engineering and Applied Sciences 5(4), 32–37 (2010)
Haghifam, M.-R., Falaghi, H., Malik, O.P.: Risk-based distributed generation placement. IET Gener. Transm. Distrib. 2(2), 252–260 (2008)
Ochoa, L.F., Padilha, F.A., Harrison, G.P.: Evaluating distributed time-varying generation through a multiobjective index. IEEE Trans. Power Delivery 23(2), 1132–1138 (2008)
Celli, G., Ghiani, E., Mocci, S., Pilo, F.: A multiobjective evolutionary algorithm for the sizing and sitting of distributed generation. IEEE Trans. 20(2), 750–757 (2005)
Vinothkumar, K., Selvan, M.P.: Impact of DG Model and Load Model on Placement of Multiple DGs in Distribution System. In: IEEE Conference, pp. 508–513 (2010)
Teng, J.H.: A Network-Topology Based Three Phase Load Flow for Distribution Systems. Proceedings of National Science Council ROC (A) 24(4), 259–264 (2000)
Teng, J.H.: A Direct Approach for Distribution System Load Flow Solutions. IEEE Transaction on Power Delivery 18(3), 882–887 (2003)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proc. IEEE Neural Networks Conf., Piscataway, NJ, pp. 1942–(1948)
Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: Proc. IEEE Int. Conf. on Evolutionary Computation, pp. 69–73 (1998)
Sattianadan, D., Sudhakaran, M.: Optimal Placement of Capacitor in radial Distribution System Using PSO. In: Second International Conference on Sustainable Energy and Intelligent System (SEISCON 2011), pp. 326–331 (2011)
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Sattianadan, D., Sudhakaran, M., Dash, S.S., Vijayakumar, K., Biswal, B. (2013). Power Loss Minimization by the Placement of DG in Distribution System Using PSO. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_56
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DOI: https://doi.org/10.1007/978-3-642-35314-7_56
Publisher Name: Springer, Berlin, Heidelberg
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