Quality of service oriented impact analysis on power systems considering EV dynamics

• Main Author: Chia, Desmond Zhong Han
• Other Authors: Soh Cheong Boon
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering::Electric power
• Online Access: https://hdl.handle.net/10356/149952
• Institution: Nanyang Technological University

Transportation electrification have shown promising potential to alleviate the climate change issue. The adoption of electric vehicles (EVs) into the transportation sector has introduced significant environmental and economic benefits to the energy system. There is a sharp increasing trend in the popularity of EV around the globe, suggesting that EV is likely to replace internal combustion engine (ICE) vehicles in the near future. Despite its vast potential for future development, the rapid development in EV have drawn increasing concerns on their adverse impacts on the existing power systems. A Charging station (CS) is the main source of energy for an EV, they provide power supply for EV to operate, and it is the most important supporting infrastructure of EVs. In this project, a probabilistic model is applied to model the EV charging demand based on the random movement of EV loads at various time and locations. Also, a network calculus based Quality of Service (QoS) model is proposed to evaluate the CS’s QoS performance. In this model, the charging service of the CSs are modelled based on the energy flow upon the arrival and departure of the EVs at CSs. To analyse the consequences of the moving EV loads and the CS’s QoS charging service performance under two separate service policies, simulations were also conducted bonded within a unified traffic-power system proposed based on the IEEE-30 bus test system.