• Pallavi Bondriya

Unprecedented & Catastrophic expansion of power system has given significant impetus to penetration of Distribution Generator. Enhancement in reliability, power quality, performance and efficiency are the advantages, offered by DG penetration; however significance of offered advantage greatly depends upon penetration parameters of DG integration. DG's size and location are of great concern in this context. Number of optimization techniques had been adopted due to stochastic nature of objective. In our research article, we have suggested a newly developed optimization technique named as CCPSO, that is, Cyclonic Converging Particle Swarm Optimization. CCPSO is hybrid technique of Cyclonic Convergence and Particle Swarm Optimization. CCPSO has been implemented on IEEE-33 & IEEE-69 Bus radial distribution system. Loss Sensitivity Factors, Power Loss Reduction Index, Multi-objective Function, System Constraints & DG Capacities is elaborated in context of test simulation in MATLAB Software.

DG Penetration, Loss Sensitivity Factors, Power Loss Reduction Index, Multi-objective Function

"Cyclonic Converging Particle Swarm Optimization Technique – CCPSO for Optimal Penetration of Distributed Generator – A Test Simulation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.654-672, June-2018, Available :http://www.jetir.org/papers/JETIR1806598.pdf

"Cyclonic Converging Particle Swarm Optimization Technique – CCPSO for Optimal Penetration of Distributed Generator – A Test Simulation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp654-672, June-2018, Available at : http://www.jetir.org/papers/JETIR1806598.pdf