• Anup Kumar singh
• Dr. R.P.Payasi
• Dr. S.P.Singh

Distributed generation can enhance energy efficiency, postpone the construction investment of distribution network, and reduce environmental costs. On the contrary, DG may also disturb the system stability. The model can reflect the DG environment-friendly features. Considering load growth, the planning problem is divided into different periods which can be solved by using the dynamic programming method, and the planning result of next period has effects on the previous one. Taking the Genetic algorithm (GA) and IEEE38-bus system as the example, the results show that the proposed method can effectively resolve the DG planning problem in smart grid and get the DG optimum sizing & type. 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 possess more variability and uncertainty because of the nature of their “fuel” sources. Optimization is one of the technique that can be used to address concerns and costs around this variability and uncertainty. This paper discusses Effect of types of DG & Seasonal mixed Load Models in Distributed Generation Planning, provides background on what can be realistically expected from distributed generation power-output.

Distributed Generation (DG), Genetic Algorithm (GA), Load Models

"Effect of DG types & Seasonal Mixed Load Models in Distributed Generation Planning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.552-559, December-2017, Available :http://www.jetir.org/papers/JETIR1712101.pdf

"Effect of DG types & Seasonal Mixed Load Models in Distributed Generation Planning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp552-559, December-2017, Available at : http://www.jetir.org/papers/JETIR1712101.pdf