Decentralized Plug-in Electric Vehicle Charging Selection Algorithm in Power Systems

Wen, Chao-Kai; Chen, Jung-Chieh; Teng, Jen‐Hao; Ting, Pangan

doi:10.1109/tsg.2012.2217761

Cited by 204 publications

(127 citation statements)

References 21 publications

Supporting

Mentioning

127

Contrasting

Order By: Relevance

“…The second parameter which is modelled is EV battery capacity (C Bat (8,17,10,19) and (12,14,21,23) for four classes respectively [10]. Another important parameter in EV charge modelling is daily travelled distance (Tr d (v,d) ) by each EV.…”

Section: Probabilistic Ev Charging Modelmentioning

confidence: 99%

See 1 more Smart Citation

A New Approach to Charging of Electric Vehicles

Mefooz¹,

Mitra²

2017

International Journal of Innovative Research in Electrical, Ele

View full text Add to dashboard Cite

This paper proposes a new control method for charging management of Electric Vehicles (EVs). The goals of the proposed control method are to reduce EV integration challenges, such as over-currents and under-voltages, and also improve the power factor. The proposed method controls the charging rates of the chargers in the distribution systems using cooperative control in order to prevent the network from under-voltages and overcurrents. The proposed algorithm is tested on the IEEE 33-Node Test Feeder and the simulation studies are carried out using OpenDSS and MATLAB. The pros and cons of the proposed method are presented and compared to the other EV charging methods.

show abstract

Section: Probabilistic Ev Charging Modelmentioning

confidence: 99%

“…An important parameter related to daily traveled distance is grid energy required per km distance traveled (E k (c) ). According to [10], E k (c) can be finely approximated to 0.19, 0.2, 0.22, and 0.24 for four classes, respectively.…”

Section: Probabilistic Ev Charging Modelmentioning

confidence: 99%

A New Approach to Charging of Electric Vehicles

Mefooz¹,

Mitra²

2017

International Journal of Innovative Research in Electrical, Ele

View full text Add to dashboard Cite

show abstract

“…However, with a large number of EVs introduced as controllable units, traditional centralized approaches may lose their efficiency due to intractable computation burden, and they are sensitive to singlepoint failures. To overcome those problems, the decentralized PEVs coordination control strategies are presented in [14]- [16]. In [14], a decentralized approach is proposed for each charging station to regulate its charging power by responding to an external signal.…”

Section: Introductionmentioning

confidence: 99%

“…To overcome those problems, the decentralized PEVs coordination control strategies are presented in [14]- [16]. In [14], a decentralized approach is proposed for each charging station to regulate its charging power by responding to an external signal. The decentralized approach only collects PEV's own information, which can relieve computation burdens for the control centre.…”

Section: Introductionmentioning

confidence: 99%

Distributed Initialization-Free Cost-Optimal Charging Control of Plug-In Electric Vehicles for Demand Management

Zhao

Ding

2017

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

Abstract-This paper considers the optimal charging problem of plug-in electric vehicles (PEVs) on demand side management. PEVs provide a promising alternative solution to reduction of environmental pollution and fuel emission. With a large number of PEVs connected to the grid, a well-designed charging coordination approach is needed to release the impacts on the power system. A distributed cooperative control strategy of PEVs is proposed to meet system interests while respecting each PEV's charging constraint. The proposed strategy is distributed, which only needs to be interacted with the neighbouring agents. Our analysis shows that the proposed strategy solves the optimal charging problem of PEVs in an initialization-free approach, which avoids any procedure for initialization during PEVs' charging process. Furthermore, the proposed strategy is robust to the time-varying available charging power and plug-and-play operations. The simulation studies validate the effectiveness of the proposed distributed strategy.

show abstract

“…For example, in [28], V2G was used for grid regulation on a daily basis and for peak reduction at times of high demand. Some decentralised optimisation approaches have also been proposed to enhance grid regulation [32,33].…”

Section: Introductionmentioning

confidence: 99%

Residential electrical vehicle charging strategies: the good, the bad and the ugly

Liu

McNamara

Shorten

et al. 2015

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

In recent years, a wide variety of centralised and decentralised algorithms have been proposed for residential charging of electric vehicles (EVs). In this paper, we present a mathematical framework which casts the EV charging scenarios addressed by these algorithms as optimisation problems having either temporal or instantaneous optimisation objectives with respect to the different actors in the power system. Using this framework and a realistic distribution network simulation testbed, we provide a comparative evaluation of a range of different residential EV charging strategies, highlighting in each case positive and negative characteristics.

show abstract

Decentralized Plug-in Electric Vehicle Charging Selection Algorithm in Power Systems

Cited by 204 publications

References 21 publications

A New Approach to Charging of Electric Vehicles

A New Approach to Charging of Electric Vehicles

Distributed Initialization-Free Cost-Optimal Charging Control of Plug-In Electric Vehicles for Demand Management

Residential electrical vehicle charging strategies: the good, the bad and the ugly

Contact Info

Product

Resources

About