Probabilistic Modeling of Electric Vehicle Charging Pattern Associated with Residential Load for Voltage Unbalance Assessment

Azhar Ul-Haq, Marium Azhar, Yousef Mahmoud, Aqib Perwaiz and Essam A. Al-Ammar
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Azhar Ul-Haq: College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan
Marium Azhar: Department of Electrical Engineering, Lahore College for Women University, Lahore 54000, Pakistan
Yousef Mahmoud: Worcester Polytechnic Institute, Worcester, MA 01609, USA
Aqib Perwaiz: College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan
Essam A. Al-Ammar: Department of Electrical Engineering, King Saud University, Riyadh 12372, Saudi Arabia

Energies, 2017, vol. 10, issue 9, 1-18

Abstract: It has been recognized that an increased penetration of electric vehicles (EVs) may potentially alter load profile in a distribution network. As EVs are regarded as a diversely distributed load so a deterministic method, to predict EV charging load, may not account for all possible factors that could affect the power system. Thus, a stochastic approach is applied that takes into account various realistic factors such as EV battery capacity, state of charge (SOC), driving habit/need, i.e., involving type and purpose of trip, plug-in time, mileage, recharging frequency per day, charging power rate and dynamic EV charging price under controlled and uncontrolled charging schemes. A probabilistic model of EVs charging pattern associated with residential load profile is developed. The probabilistic model gives an activity based residential load profile and EV charging pattern over a period of 24 h. Then, the model output is used to assess the power quality index such as voltage unbalance factor under different electric vehicle penetration levels at different nodes of the system. An uneven EV charging scenario is identified that could cause the voltage unbalance to exceed its permissible limit.

Keywords: electric vehicles; probabilistic modeling; power quality; voltage unbalance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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