• Dilip Kumar Patel
• Dr. S P Singh
• Ravindra Kumar
• Kaustubh Kundan Srivastava

A combination of public policy, incentives and economics is driving a rapid growth of distributed generation in the electric power system. The majority of states/provinces now have renewable portfolio standards, with many requiring that over 20 percent of electricity sales by generated by renewable energy sources within the next five to fifteen years. The majority of these requirements will be addressed by adding significant amounts of wind energy and growing amounts of solar energy to the bulk power system. Wind and solar power plants exhibit greater variability and uncertainty because of the nature of their “fuel” sources. Optimization is one of the tools that can be used to address concerns and costs around this variability and uncertainty. This paper discusses operational and optimal system impacts, provides background on what can be realistically expected from distributed generation power-output. Distribution generation also includes more than wind resources: both established types, like run-of-river hydro and emerging varieties, such as wave energy. While the majority of attention in this report is on wind and solar generation, most varieties of distribution generation share similar characteristics (though to a different extent) since the variability is largely driven by weather or other non-anthropogenic phenomena. Similar optimization and integration approaches are also likely to apply to these distribution generation resources as well. In fact, because load is also influenced by the weather, demand and generation optimization may eventually come.

Distributed Generation (DG), Genetic Algorithm (GA), Distributed generation Planning.

"Distributed Generation Planning in Distribution Systems using Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 10, page no.93-115, October-2017, Available :http://www.jetir.org/papers/JETIR1710015.pdf

"Distributed Generation Planning in Distribution Systems using Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 10, page no. pp93-115, October-2017, Available at : http://www.jetir.org/papers/JETIR1710015.pdf