Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources
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1
C-MAST, University of Beira Interior, 6201-001 Covilhã, Portugal
2
INESC TEC, 4200-465 Porto, Portugal
3
Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
4
INESC-ID, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal
*
Author to whom correspondence should be addressed.
Energies 2018, 11(11), 3117; https://doi.org/10.3390/en11113117
Received: 26 October 2018
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Revised: 4 November 2018
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Accepted: 5 November 2018
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Published: 11 November 2018
(This article belongs to the Special Issue Distribution System Operation and Control)
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.
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Keywords:
distribution system; electric vehicle (EV); renewable energy resources (RES); stochastic programming
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MDPI and ACS Style
Osório, G.J.; Shafie-khah, M.; Coimbra, P.D.L.; Lotfi, M.; Catalão, J.P.S. Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources. Energies 2018, 11, 3117. https://doi.org/10.3390/en11113117
AMA Style
Osório GJ, Shafie-khah M, Coimbra PDL, Lotfi M, Catalão JPS. Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources. Energies. 2018; 11(11):3117. https://doi.org/10.3390/en11113117
Chicago/Turabian StyleOsório, Gerardo J., Miadreza Shafie-khah, Pedro D.L. Coimbra, Mohamed Lotfi, and João P.S. Catalão. 2018. "Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources" Energies 11, no. 11: 3117. https://doi.org/10.3390/en11113117
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