A STATISTIC APPROACH TO SUPPLY PHEVS IN TYPICAL MICROGRID IN IRAN

This work is focused on load modelling in distribution network planning in appearance of plug in hybrid electric vehicle (PHEV). The model has been developed in real network in Iran. The candidate point of EV charging station was established based on network characteristics. PHEV Energy consumptions are modelled statistically due to uncertain behaviour of usage of cars. This process resulted in optimum (load model stochastically) and network configuration. The surplus load imposes to network supply by distribution generation (based on an Act) is One of important issues that is considered, so finally, the new DGs placement in town is studied. The optimization is achieved based on two different types of preliminary assumptions. In the first one, it is assumed to have only general charging stations in town, while in the second one possibility of having multi-stations; general and home parking; is considered. The methodology could easily use in load model to distribution planning in beside of EVs. The real micro grid example is analysed in order to practical usability of model. Finally, the price scheme which is regulate the load that’s imposed by EV, is considered, therefore the smooth load of EVS is the most attractive solation to protect networks beside phevs is studied