Dynamic charging strategy of electric vehicles in the distribution network integrated with renewable energy sources

The rapid expansion of electric vehicles (EVs) brings forth a range of possibilities and obstacles for the electrical grid. EVs are a hopeful way to cut down on greenhouse gas emissions and reliance on fossil fuels, but the way they charge can put a lot of stress on the grid, which can cause problems for both grid operators and EV users. The uncontrolled approach to EV charging could result in the development of new peak loads. This paper formulates a problem for the minimisation of EV charging cost while reducing the load variance using a dynamic charging strategy. This dynamic charging strategy forecasts the charging price of EV for each time stamp based on the available energy generation. The proposed formulation has also considered the seasonal variation in load profile. The model is solved using different optimisation algorithm and different scenarios have been formulated to validate the effectiveness of the optimisation problem which has been formulated to achieve the objectives of minimised charging cost and load variance. The proposed strategy has improved the charging cost by 67% from other strategies of EV charging while reduction in load variance comes out to be 69%. This proposed formulation will help in the higher adoption of EV's and will subsequently lead to sustainable growth.