DG Selection to Support Additional Electric Vehicle Charging Stations in Radial Distribution System Using Multi Constraints Scaling Factor

Charging station allocation in the present power system is surprisingly becoming an important area of research due to continuous increase in electric vehicles in the modern transport system. To support the continuous increasing demand of electricity from existing power system is a serious concern for all power utilities. Electric Vehicle Charging Stations (EVCSs) are also emerging at a very fast rate in the distribution system due to several economic and environmental issues of the existing fossil fuel-based transportation system. Centralized and high rating generating stations have already been suppressed through all the Governments and distributed generators (DGs), especially renewable-based power plants are being promoted through the public private partnership (PPP) model. In this work, DGs are proposed to support EVCS at local bus with their optimum size selection problem so that technical and economic constraints may be addressed for new adding DG unit in existing system. Real power loss, reactive power loss, indices and voltage profiles are the few constraints that must be accounted for deciding the size of DG. Each constraint has its own range of samples and so cannot be formulized without normalization. So, multi constraints scaling factor technique is proposed for the present work. Results are a test for three different cases. To validate the results three parameters are further divided into training and testing categories. The results show the acceptability of the proposed techniques through their results obtained in the form of figures and tables.