Energy management Planning to reduce the operation costs in distribution networks by considering EV and Renewable energy sources

The utilization of distributed generators such as the renewable energies together with electrical vehicle are increasing because of the environmental and economic challenges. Irregular and yet large-scale use of either of these two technologies can have devastating effects on electrical grid. However, with planning and appropriate management of these technologies along with energy storage resources can reduce their detrimental effects. In this regard, integrated cumulative effect of electrical vehicles to the grid for the process of charging or discharging and also network instability caused by that – in particular during peak times- have been discussed as a fundamental challenge of utilizing these vehicles. Inconsistent and uncontrolled charging in these vehicles at the large scale on traditional grids can lead to overload, bigger fluctuations in generator speed, rise in voltage deviation of distribution buses, and increased power losses; which these consequences result in lower reliability and smart grid security. Thus, management of production or consumption in these vehicles are investigated. This study adopts Genetic algorithm (GA) to optimize uncoordinated and coordinated PEVs charging stations with renewable distributed generation resources. The proposed model is applied to IEEE 33–bus network. The output results have shown the efficiency and robustness of the proposed model.