A New Model of Charging Demand Related to Plug-in Hybrid Electric Vehicles Aggregation. Issue 9 (28th May 2017)

• Record Type: Journal Article
• Authors: Pouladi, Jaber; Bannae Sharifian, Mohammad Bagher; Soleymani, Soodabeh
• Is Part Of: Electric power components and systems. Volume 45:Issue 9(2017)
• Page Start: 964
• Page End: 979
• Publication Date: 2017-05-28
• Subjects: Plug-in hybrid electric vehicles (PHEVs) -- load profile -- aggregated model -- charging curve -- distribution system -- Monte Carlo simulation -- state of charge (SOC) -- all electric range (AER) -- charge level -- power unbalance; Electric machinery -- Periodicals; 621.3104205
• DOI: 10.1080/15325008.2017.1312719
• Languages: English
• ISSNs: 1532-5008

Abstract

Abstract: This paper offers a comprehensive and exact model for Plug-in Hybrid Electric Vehicle (PHEV) aggregation based on the real statistics. For this purpose, available transportation and technical reports are analyzed to extract Cumulative Distribution Functions and accurate modeling of PHEVs charging load profile. We can study PHEVs effects on the distribution system by analyzing available registered data; however, the main problem is that such data, due to the low penetration of PHEVs, are not accessible, and expensive monitoring equipment such as Global Positioning Systems are needed to collect such data. Therefore, due to the lack of access to such data, researchers have offered different estimations for the charging load profile of PHEVs using statistical methods. In this study, a new model for the initial state of charge (SOC) is introduced that it is a function of fuel consumption of the vehicles. The driving behaviors such as speed and road slope have been considered in the proposed model. Simulation results show the impressiveness effectiveness and accuracy of the proposed methodology.