Electric vehicles load requirement on long terms in Uttarakhand: A case study of Dehradun smart city

Abstract

The hill state of Uttarakhand located in north India where 70% area falls in hilly regions and 30% area under plain region. Being a hill state, several challenges are faced by peoples in their daily life. The water body and resources in this state is high however 15% of total hydro potential is derived in Electricity Generation. Being a capital of state, the Dehradun city has selected as Smart City in year 2018 by the Government of India. The need of electricity recorded to cater the demand is 55 MU wherein 85% is taken from State and Centre Generation Stations of Uttarakhand and remaining 15% electricity is taken from Energy Exchange, Energy Banking or Short-Term Power Purchase Agreements. In this study, the ten-year electricity load required for charging the electric vehicle is calculated using Artificial Neural Network tool. The scaled conjugate method is used in this research to calculate the required load demand in future. The developed model is trained, validated and tested on the input data and future load is predicted. The results showing the extra load provisions to be arranged for electric vehicle charging in domestic and commercial places which including capacity upgradation of transmission network and transformers.