Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources

• Main Authors: Gerardo J. Osório, Miadreza Shafie-khah, Pedro D. L. Coimbra, Mohamed Lotfi, João P. S. Catalão
• Format: Article
• Language: English
• Published: MDPI AG 2018-11-01
• Series: Energies
• Subjects: distribution system; electric vehicle (EV); renewable energy resources (RES); stochastic programming
• Online Access: https://www.mdpi.com/1996-1073/11/11/3117

Electric vehicles (EVs) promote many advantages for distribution systems such as increasing efficiency and reliability, decreasing dependence on non-endogenous resources, and reducing pollutant emissions. Due to increased proliferation of EVs and their integration in power systems, management and operation of distribution systems (ODS) is becoming more important. Recent studies have shown that EV can increase power grid flexibility since EV owners do not use them for 93⁻96% of the daytime. Therefore, it is important to exploit parking time, during which EVs can act either as a load or distributed storage device, to maximize the benefit for the power system. Following a survey of the current state-of-the-art, this work studies the impact of EV charging on the load profile. Since renewable energy resources (RES) play a critical role in future distribution systems the current case study considered the presence of RES and their stochastic nature has been modeled. The study proceeds with analyzing EV owners’ driving habits, enabling prediction of the network load profile. The impact of: EV charging modes (i.e., controlled and uncontrolled charging), magnitude of wind and photovoltaic (PV) generation, number of EVs (penetration), and driving patterns on the ODS is analyzed.