Loss minimization is a long progressing issue mainly in distribution system. Nevertheless its effect led to temperature rise due to significant voltage drop through the distribution line. Thus, compensation scheme should be proper scheduled in the attempt to alleviate the voltage drop phenomenon. Distributed generation has been profoundly known for voltage profile improvement; provided that over-compensation or under-compensation phenomena are avoided. This paper addresses the issue of voltage improvement through different type DG installation. In ensuring optimal sizing and location of the DGs, pre-developed EMEFA technique was made use for this purpose. Incremental loading condition subjected to the system is the concern such that it is beneficial to the power system operator.<\/p>\r\n","references":"[1] R. Passey, T. Spooner, I. MacGill, M. Watt, and K. Syngellakis, \"The potential impacts of grid-connected distributed generation and how to address them: A review of technical and non-technical factors,\u201d Energy Policy, vol. 39, no. 10, pp. 6280\u20136290, Oct. 2011.\r\n[2]\tS. Segura, R. Romero, and M. J. Rider, \"Efficient heuristic algorithm used for optimal capacitor placement in distribution systems,\u201d Int. J. Electr. Power Energy Syst., vol. 32, no. 1, pp. 71\u201378, Jan. 2010.\r\n[3]\tV. K. Shrivastava, O. P. Rahi, V. K. Gupta, and S. K. Singh, \"Optimal location of distribution generation source in power system network,\u201d 2012 IEEE Fifth Power India Conf., pp. 1\u20136, Dec. 2012.\r\n[4]\tM. Kotb and K. Sheb, \"Genetic Algorithm for Optimum Siting and Sizing of Distributed Generation,\u201d 10th International Middle East Power Systems Conference (MEPCON), pp. 433\u2013440, 2010.\r\n[5]\tM. Bavafa and N. Branch, \"A new Method of Evolutionary Programming in DG Planning\u201d International Conference on Energy, Automation, and Signal (ICEAS), 2011, no. x.\r\n[6]\tA.M. El-Zonkoly, \"Optimal placement of multi-distributed generation units including different load models using particle swarm optimization\u201d IET Generation, Transmission & Distribution , vol. 5, no. March, pp. 760\u2013771, 2011.\r\n[7]\tL.Y. Wong, S.R.A Rahim, M. H. Sulaiman, O. Aliman, \"Distributed generation installation using particle swarm optimization,\u201d Power Engineering and Optimization Conference (PEOCO), June, pp. 159-163, 2010.\r\n[8]\tM. M. Wazir, A. Omar, and A. S. Rafidah, \"Optimal allocation and sizing of distributed generation in distribution system via firefly algorithm,\u201d Power Engineering and Optimization Conference (PEOCO), June, pp. 6\u20137, 2012.\r\n[9]\tG. Pepermans, J. Driesen, D. Haeseldonckx, R. Belmans, and W. D, \"Distributed generation: definition, benefits and issues,\u201d vol. 33, pp. 787\u2013798, 2005.\r\n[10]\tW. El-Khattam and M. M. Salama, \"Distributed generation technologies, definitions and benefits,\u201d Electr. Power Syst. Res., vol. 71, no. 2, pp. 119\u2013128, Oct. 2004.\r\n[11]\tS. R. A. Rahim, I. Musirin, M. M. Othman, M. H. Hussain, M. H. Sulaiman, A. Azmi, \"Effect of Population Size for DG Installation using EMEFA,\u201d Power Engineering and Optimization Conference (PEOCO), June, pp. 746\u2013751, 2013.\r\n[12]\tQ. Kang, T. Lan, Y. Yan, L. Wang, and Q. Wu, \"Group search optimizer based optimal location and capacity of distributed generations,\u201d Neurocomputing, vol. 78, no. 1, pp. 55\u201363, 2012.\r\n[13]\tS. R. A. Rahim, I. Musirin, M. H. Hussain, and M. M. Othman, \"EMEFA Approach for DG Installation in Distribution System,\u201d Int. Rev. Model. Simulations, vol. 5, no. 6, pp. 2546\u20132553, 2012.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 84, 2013"}