Solving The Optimal Siting And Sizing Problem Of Multiple DG Source Based On GA/IWD

The upward trend in global warming has led to increase in utilization of renewable energy based distributed generation sources (DGs) in electricity production. This research presents a solution technique for the distribution expansion planning problem using DGs. The power injections from renewable DG sources located close to the load centers provide a chance for system power loss reduction, cost reduction; voltage profile improvement; voltage stability improvement; environmental friendliness, postponement system upgrading and increasing reliability. The intelligent water drops (IWD) algorithm is a new swarm-based optimization algorithm inspired by observing natural water drops that flow in rivers. In this paper, a novel combined Genetic Algorithm (GA) / Intelligent Water Drops (IWD) is presented for optimal location and sizing of DG on distribution systems. The objective is to minimize network power losses, better voltage regulation and improve the voltage stability within the framework of system operation and security constraints in radial distribution systems. A detailed performance analysis is carried out on 69 and 33bus systems to demonstrate the effectiveness of the proposed methodology.

Keywords:

Distributed generation , Intelligent Water Drops , Genetic algorithm , Allocation , Voltage stability index