Optimal Scheduling of Charging and Discharging of PHEVs for Load Profile Improvement Considering Uncertainties of DGs

Abstract

Due to increasing penetration of plug-in hybrid electric vehicles (PHEVs), non-optimal charging and discharging of them may lead to undesirable changes in load profile and network losses. In this paper, an optimal scheduling of charging and discharging of PHEVs is proposed to simultaneously improve the load profile and loss index. Another issue which is a challenge in the microgrids is uncertainties of distributed generations such as photovoltaics and wind turbines. Therefore, these uncertainties are also considered in the proposed scheduling. Genetic algorithm is used to minimize the proposed objective function. The proposed algorithm is applied to IEEE 33-bus test system to show its effectiveness.