Optimal charging schedule coordination of electric vehicles in smart grid

• الحاوية / القاعدة: Indonesian Journal of Electrical Engineering and Computer Science
• المؤلف الرئيسي: 2-s2.0-85046785060
• التنسيق: مقال
• اللغة: English
• منشور في: Institute of Advanced Engineering and Science 2018
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046785060&doi=10.11591%2fijeecs.v11.i1.pp82-89&partnerID=40&md5=62aecfd848bcb8081a6988d54c2be97f
• تدمد: 25024752
• DOI: 10.11591/ijeecs.v11.i1.pp82-89

The increasing penetration of electric vehicle (EV) at distribution system is expected in the near future leading to rising demand for power consumption. Large scale uncoordinated charging demand of EVs will eventually threatens the safety operation of the distribution network. Therefore, a charging strategy is needed to reduce the impact of charging. This paper proposes an optimal centralized charging schedule coordination of EV to minimize active power losses while maintaining the voltage profile at the demand side. The performance of the schedule algorithm developed using particle swarm optimization (PSO) technique is evaluated at the IEEE-33 Bus radial distribution system in a set time frame of charging period. Coordinated and uncoordinated charging schedule is then compared in terms of active power losses and voltage profile at different level of EV penetration considering 24 hours of load demand profile. Results show that the proposed coordinated charging schedule is able to achieve minimum total active power losses compared to the uncoordinated charging. © 2018 Institute of Advanced Engineering and Science. All rights reserved.