• monika joshi
• dr samina elyas mubeen

The unification of distributed generation (DG) units in power distributed networks has become progressively vital in recent year. The most motive of the optimum dg placement (ODGP) is to produce the most effective locations and size of dg’s to optimize electrical distribution network operation and coming up with taking under consideration DG capability constraints. Since the on top of objective is mixed-integer downside. The traditional ways don't seem to be appropriate for mixed-integer issues. Thus objective of this work is to use the Genetic rule for decisive the optimum location and size of DGs to be put in simultaneously for step-down of value and losses. Genetic rule may be a random search technique for improvement, which simply tackle the mixed-integer kind of issues. The effectiveness of the genetic algorithmic program to unravel the weight unit allocation and filler are incontestable through examples. The results for the best locations and filler of DGs to be put in in distribution system are bestowed. Since system losses area unit reduced by best placement of DGs, thus the potency of the system will increase and improves the voltage profile and stability.

Distributed Generation (DG), Distribution Systems Optimization, Optimal Distributed Generation Placement (ODGP)

"A comparative analysis of optimal distributed generation placement in power distributed networks ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 8, page no.21-28, August-2016, Available :http://www.jetir.org/papers/JETIR1608007.pdf

"A comparative analysis of optimal distributed generation placement in power distributed networks ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 8, page no. pp21-28, August-2016, Available at : http://www.jetir.org/papers/JETIR1608007.pdf