An Integrated Planning Framework for Different Types of PEV Charging Facilities in Urban Area

Zhang, Hongcai; Hu, Zechun; Xu, Zhiwei; Song, Yonghua

doi:10.1109/tsg.2015.2436069

Cited by 172 publications

(81 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Commercial Charging (CC), Business Charging (BC), and Home Charging (HC) [36][37][38][39]. The CCi.e., charging EVs at fast commercial charging stations (CS) -is identical to the refueling stations, and the EVs are expected to be charged here while commuting [38].…”

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

“…The CCi.e., charging EVs at fast commercial charging stations (CS) -is identical to the refueling stations, and the EVs are expected to be charged here while commuting [38]. Because of this, time of charging (i.e., connected to the grid) is less than 30 minutes as in Table 2.1 [40,41].…”

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

“…Because of this, time of charging (i.e., connected to the grid) is less than 30 minutes as in Table 2.1 [40,41]. Therefore, fast charging, which is denoted by a Level 3 charging as in Table 2.2, must be deployed for CC [38]. Furthermore, since the EVs are expected to be charged before the start and after the end of business hours at CC, the combined EV load profiles may contain two observable peaks as in Fig.…”

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

“…Since the EVs stay at home for more than 10 hours a day [40], their charging power demands are considerably small. Hence, either of the Level 1, Level 2a, and Level 2b can be employed [38]. Moreover, the peak of the charging load for HC occurs during the night-time [39].…”

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

“…Usually, the average time of stay at BC, respectively, are 3 hours [42] and 8 hours [40] for universities and offices. Therefore, either Level 2a or Level 2b can be adopted for the BC [38].…”

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

See 4 more Smart Citations

PV-based EV charging station with vehicle-to-grid services for business premises

Islam¹

View full text Add to dashboard Cite

The transportation sector is the second major contributor to the global greenhouse gas (GHG) emissions, next to electricity generation sector. GHG emissions are projected to grow in the future due to the over-reliance on fossil fuels for both electricity generation and transportation sectors.However, the growth can be stalled by gradually introducing electric vehicles (EVs) as they produce less GHG compared to their conventional counterparts. Despite that, their proliferation has been stunted by a completely new set of challenges in addition to a very high capital cost. These challenges include low driving ranges, scarcity of electric vehicle charging stations (EVCS), long charging time and inability to provide charging service readily. Nevertheless, some of these challenges can be addressed by installing EVCS at business premises (i.e., offices, universities, etc.) and augmenting EVCS with onsite PV and battery energy storage (BES). In that case, the impacts of EV charging on the grid will be less significant; charging services will be available readily, and GHG emissions growth can be reduced significantly. Moreover, EVCS, under suitable conditions, would be able to provide vehicle-to-grid (V2G) services, which makes EVCS more attractive.Despite such prospective opportunities, offhand planning and operational planning of EVCS would deem them unachievable. In addition, the inherent intermittency of PV, and EV and grids loads will pose considerable hindrance on availing those benefits.Hence, this research focusses on an EVCS with onsite PV and BES, in the perspective of planning and operational planning including V2G services. The cornerstone of the planning and operational planning is an appropriate EV load model that captures the uncertainties of EV charging. In addition, the EV load model reflects the grid voltage and EV battery's state of charge (SOC)-dependency of EV charging. Moreover, it accounts for the diversity of the EV population embodied by market shares, battery sizes, charging levels, and charging voltages, currents, and power factors. Furthermore, it is scalable to facilitate seamless assimilation of a large EV population. Therefore, a new EV load model is first proposed with MATLAB/Simulink validation reflecting the factors above along with the recommendations by the standard BS EN 61851-23:2014. This EV model is then incorporated into the planning activities, which include four chronological exercises. Firstly, the impact (i.e., grid voltage, current, losses, etc.) of the EV charging on the grid at different locations, namely home, office, public charging, is investigated considering the uncertainties. Secondly, the optimal location of the PV and BES based EVCS is divulged regarding the reduction of the impact and costs involved while enhancing the charging quality of service (QoS). Thirdly, a suitability analysis is performed for the obtained optimal location to find the most suitable combination of the grid upgrading, PV deployment, and BES iii deployment to satisfy the QoS, ...

show abstract

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

Section: Classification Of Ev Charging Locationsmentioning

confidence: 99%

See 3 more Smart Citations

PV-based EV charging station with vehicle-to-grid services for business premises

Islam¹

View full text Add to dashboard Cite

show abstract

Selection of Fast‐Charging Station

2023

Fast‐Charging Infrastructure for Electric and Hybrid Electric Vehicles

View full text Add to dashboard Cite

A Real‐Time Multilevel Energy Management Strategy for Electric Vehicle Charging in a Smart Electric Energy Distribution System

He³

et al. 2019

Energy Tech

View full text Add to dashboard Cite

The randomness of electric vehicle (EV) charging has negative impacts on three‐phase imbalance and peak–valley difference in electric energy distribution systems. Traditional EV charging strategies have shortcomings: the performance of three‐phase imbalance mitigation may be limited if the grid‐connected EVs are extremely imbalanced on three phases; in addition, the comprehensive regulation of peak–valley difference and three‐phase imbalance is not developed, and the three‐phase imbalance of reactive power is ignored. Therefore, a real‐time multilevel energy management strategy (RMEMS) for EV charging is proposed. A tri‐level optimization model (TOM) is designed as the central system. In upper‐level optimization, the three‐phase selection (TPS) of EVs is optimized to balance active or reactive power consumption on three phases. Based on the results from upper‐level optimization, the charging active power is regulated in middle‐level optimization to reduce the peak–valley difference on each phase. In lower‐level optimization, the reactive power compensated by EV chargers is optimized based on the results from upper‐level and middle‐level optimization to balance the reactive power on three phases. Case studies show that the proposed RMEMS performs well for balancing active and reactive power consumption on three phases, and the peak–valley differences of active power consumption on each phase are all mitigated.

show abstract

An Integrated Planning Framework for Different Types of PEV Charging Facilities in Urban Area

Cited by 172 publications

References 23 publications

PV-based EV charging station with vehicle-to-grid services for business premises

PV-based EV charging station with vehicle-to-grid services for business premises

Selection of Fast‐Charging Station

A Real‐Time Multilevel Energy Management Strategy for Electric Vehicle Charging in a Smart Electric Energy Distribution System

Contact Info

Product

Resources

About