A Comprehensive Technique for Reducing Power Loss in Distribution Networks Utilizing Gridable Electric Vehicles and Distributed Generators using Meta Heuristic Techniques

Abstract

The increase in the quantity of Electric Vehicles (EVs) over the distribution network emphasizes an additional demand on the system while it is being charged. But if the EVs are employed to support the utility depending on the need, the same turns out to be favorable. The proposed research is to identify the ways to cut down on power losses in the distribution system. with the presence of distributed generators (DG’s) by optimally scheduling both the grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operating modes of EVs using Grasshopper optimization and improving the voltage profile. The analysis is carried for multiple cases of DGs, EVs acting as load and source based on the demand response in the distribution system. An evaluation of the performance is carried out by considering IEEE 69 bus system, and comparing with the optimization algorithms to determine its efficacy.