Electric vehicle charging method for smart homes/buildings with a photovoltaic system

Wi, Young-Min; Lee, Jong-Uk; Joo, Sung-Kwan

doi:10.1109/tce.2013.6531113

Cited by 190 publications

(74 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Cao et al [31] proposed a control method to coordinate charging with the time-of-use market price. Reference [32] studied a EV charging method for smart homes and buildings in the presence of photovoltaic systems. Wang et al [33] proposed a mobility-aware charging strategy for globally optimal energy utilization by means of appropriately routing mobile EVs to charging stations with the assistance of vehicular ad-hoc network.…”

Section: Related Workmentioning

confidence: 99%

Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism

Lam

Leung

2016

IEEE Trans. Smart Grid

177

View full text Add to dashboard Cite

Due to various green initiatives, renewable energy will be massively incorporated into the future smart grid. However, the intermittency of the renewables may result in power imbalance, thus adversely affecting the stability of a power system. Frequency regulation may be used to maintain the power balance at all times. As electric vehicles (EVs) become popular, they may be connected to the grid to form a vehicle-to-grid (V2G) system. An aggregation of EVs can be coordinated to provide frequency regulation services. However, V2G is a dynamic system where the participating EVs come and go independently. Thus, it is not easy to estimate the regulation capacities for V2G. In a preliminary study, we modeled an aggregation of EVs with a queueing network, whose structure allows us to estimate the capacities for regulation-up and regulation-down separately. The estimated capacities from the V2G system can be used for establishing a regulation contract between an aggregator and the grid operator, and facilitating a new business model for V2G. In this paper, we extend our previous development by designing a smart charging mechanism that can adapt to given characteristics of the EVs and make the performance of the actual system follow the analytical model. Index Terms-Capacity, frequency regulation, queueing model, vehicle-to-grid (V2G).

show abstract

Section: Related Workmentioning

confidence: 99%

Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism

Lam

Leung

2016

IEEE Trans. Smart Grid

177

View full text Add to dashboard Cite

show abstract

“…where P i (t) is the charging power of the i-th EV, which can be calculated by (15) and which is constant in this paper; p pv (t) is the PV output power at time t; and K r is a parameter which is designed to balance the relation between the PV energy and charging demand. It is determined by the historical data.…”

Section: Charging Strategymentioning

confidence: 99%

Effectiveness Evaluation for a Commercialized PV-Assisted Charging Station

Liu

Cheng

2017

Sustainability

View full text Add to dashboard Cite

Abstract:The Photovoltaic-assisted Charging Station (PVCS) is regarded as one of the most promising charging facilities for future electric vehicle (EV) energy supplementation. In this paper, the operation mode and profitability of a commercialized PVCS are analyzed under the energy policy of China. In order to evaluate the long-term effectiveness of using the PVCS to provide guidance for the investors of the stations, a set of evaluation indexes is introduced, including the quality of service, the environmental and economic benefits, and the impacts on the grid. Furthermore, an easily-achieved charging strategy which considers the quality of service and the self-consumption of PV energy is proposed. Finally, an effectiveness evaluation for different operational scenarios of the PVCS is completed, based on the actual statistical data. The simulation and evaluation results indicate that the PVCS has the potential to produce satisfactory environmental/economic benefits and to reduce the impacts and dependence of an EV's charging load on the grid.

show abstract

“…Energy depletion and environmental problems make electric vehicles (EVs) more popular, and the energy management for the EV charging system in smart home/buildings becomes an emerging area . Wu et al designed an optimization framework for economic energy management and components sizing of the smart home with EVs, batteries, and photovoltaic systems by considering home‐to‐vehicle and vehicle‐to‐home modes.…”

Section: Introductionmentioning

confidence: 99%

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

Electric vehicle charging method for smart homes/buildings with a photovoltaic system

Cited by 190 publications

References 9 publications

Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism

Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism

Effectiveness Evaluation for a Commercialized PV-Assisted 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