Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics

Abstract

One of the key solutions to address the issue of energy efficiency and sustainable mobility is to integrate plug-in electric vehicle (EV) infrastructure and photovoltaic (PV) systems. The research proposes a comprehensive EV infrastructure planning and analysis tool (EVI-PAT) with solar power generation for micro-scale projects for the deployment of EV Charging Stations (EVCS). For the evaluation of the proposed infrastructure, a case study of Qatar University (QU) campus is chosen for the integration of the EV charging infrastructure and PV power generation to evaluate the performance of the presented framework. The model estimates the EV adoption and the number of vehicles based on the inputs related to the country's EV adoption, campus vehicle count, and driving behavior. Economic and environmental indicators are used for evaluating policy choices. The findings in the paper show that the proposed planning framework can find the optimum staging plan for EV and PV infrastructure based on the policy choices. The staging plan optimizes the sizes and times of installing EVCSs combined with solar PV keeping the EV-PV project at maximum economic and environmental targets. The optimum policy can affect the optimum power infrastructure limit to maximize the economic benefit by the solar tariff.

Integrated Multi-Criteria Model for Long-Term Placement of Electric Vehicle Chargers

“…Multiple methods for EV forecasting have been proposed by these studies in [26]- [28]. In [29], a system dynamics model combined with optimization is proposed for obtaining the optimum amount of EV infrastructure for charging with solar PV projects. The same system-dynamics model is used to obtain annually the number of installed chargers on campus to be used as the input to the EV charger placement problem model proposed in this study.…”

“…Awareness is one of the high contributing factors affecting EV uptake and Universities are the first to adopt EV chargers and has a higher adoption rate than the countries' general adoption [29]. Nationwide, already there is an Electric Vehicle Strategy prepared by the Ministry of Transport [43].…”

“…There are 32 potential locations for the installation of EV chargers (Bus2 to Bus33), and when a violation occurs at a certain bus, it becomes no longer one of the potential site locations for an EV charger and the location is removed from the alternative list. The number of chargers per year to be installed is based on the systemdynamic model in [29]. The type of charger 6.6 kW is implemented in the study.…”

“…For every year, the numbers of chargers required are plotted in Figure 10. For the case study, the years considered are from 2020 to 2050 which start at adoption 0% to 33%, the adoption rate is predicted through system dynamics for QU case study [29], see Figure 11.…”

Novel Harmonic Prediction and Power Quality Improvementusing Intelligent Hybrid Strategies for Grid Coordinated System

“…These vehicles require high energy storage capacity batteries and large electric load charging necessities. The battery of HPEVs can be charged by plugging it into an external electric power source (Abdullah et al 2022). They can be recharged at home from a standard outlet or at a charging station.…”