Identification of the weakest buses in unbalanced multiphase smart grids with Plug-in Electric Vehicle charging stations

Juanuwattanakul, P.; Masoum, Mohammad A. S.

doi:10.1109/isgt-asia.2011.6167155

Cited by 19 publications

(11 citation statements)

References 12 publications

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“…The spatial aspect is also addressed in [16], stating that large parking areas with simple charging stations should be connected at the strongest grid lines and smart charging stations, which support V2G including reactive power, can be connected to weak grid lines.…”

Section: Power Qualitymentioning

confidence: 99%

Accessing flexibility of electric vehicles for smart grid integration

Einwachter

2014

2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER)

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The rising awareness of the limitation of resources and the environmental impact of CO 2 emissions in combination with the technological progress in the last decades brought electric vehicles back on the market. Contrary to the still mainstreaming passenger cars with internal combustion engine, electric cars do not necessarily depend on a CO 2 -emmitting process as power source if they are equipped with a charging interface for the internal battery. The fact that an infrastructure for electricity already exists is beneficial in terms of power availability and the possibility to use renewable energy sources for charging. But the challenging aspect is that the capacity of the electrical grid was originally neither designed for the additional load by electric vehicles nor for the simultaneously ongoing energy transition from conventional to renewable energy generation. However, the fact that an average vehicle is most of the time parking and potentially connected to the grid makes an electric vehicle flexible regarding the charging time schedule. This flexibility can be utilized in a smart grid context. Researchers are involved with this topic for several years now and many findings have already been published. The objective of this paper is to give an overview over already investigated problems and developed solutions. Therefore a general map of aspects which outline the problem of grid integration and the utilization of the electric vehicles flexibility is presented. The report on the review of papers shows which topics have been investigated and what methods have been used.

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Section: Power Qualitymentioning

confidence: 99%

Accessing flexibility of electric vehicles for smart grid integration

Einwachter

2014

2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER)

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“…The power congestion in each line is constrained by Equation (15). In this work, we assume that the congestion occurs when the power flow Flow (i,j) is greater than or equal to a factor value (CongMin) multiplied by the maximum power line capacity (Flow max (i,j) ).…”

Section: Lines' Power Congestionmentioning

confidence: 99%

Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City

et al. 2019

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The use of electric vehicles (EVs) is growing in popularity each year, and as a result, considerable demand increase is expected in the distribution network (DN). Additionally, the uncertainty of EV user behavior is high, making it urgent to understand its impact on the network. Thus, this paper proposes an EV user behavior simulator, which operates in conjunction with an innovative smart distribution locational marginal pricing based on operation/reconfiguration, for the purpose of understanding the impact of the dynamic energy pricing on both sides: the grid and the user. The main goal, besides the distribution system operator (DSO) expenditure minimization, is to understand how and to what extent dynamic pricing of energy for EV charging can positively affect the operation of the smart grid and the EV charging cost. A smart city with a 13-bus DN and a high penetration of distributed energy resources is used to demonstrate the application of the proposed models. The results demonstrate that dynamic energy pricing for EV charging is an efficient approach that increases monetary savings considerably for both the DSO and EV users.

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“…The degradation of voltage profile, increase in peak load, harmonic distortions are some of the consequences of the uncoordinated charging of EVs. Many references demonstrate the adverse impact of EV charging loads on different parameters of the distribution network like voltage profile [8][9][10][11][12][13][14], harmonics [15][16][17][18] and peak load [19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…However, it was observed that the voltage profile of the node where multiple charging stations were placed degraded to some extent and the high loads of EV charging stations caused degradation of the voltage profile of the weak buses of the system. In [9] the authors examined the impact of EV charging loads on a 13 node distribution network for different EV penetration scenarios. In [10] the authors analysed the impact of EV charging loads on a standard distribution network with 14 buses.…”

Section: Introductionmentioning

confidence: 99%

“…The different detrimental impacts of EV charging station loads like voltage instability, harmonic distortion, and power losses on distribution network are analysed in [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. However, there is a dearth of literature focusing on the impact of the EV charging station load on all the aforementioned parameters considered together.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Electric Vehicle Charging Station Load on Distribution Network

et al. 2018

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Recent concerns about environmental pollution and escalating energy consumption accompanied by the advancements in battery technology have initiated the electrification of the transportation sector. With the universal resurgence of Electric Vehicles (EVs) the adverse impact of the EV charging loads on the operating parameters of the power system has been noticed. The detrimental impact of EV charging station loads on the electricity distribution network cannot be neglected. The high charging loads of the fast charging stations results in increased peak load demand, reduced reserve margins, voltage instability, and reliability problems. Further, the penalty paid by the utility for the degrading performance of the power system cannot be neglected. This work aims to investigate the impact of the EV charging station loads on the voltage stability, power losses, reliability indices, as well as economic losses of the distribution network. The entire analysis is performed on the IEEE 33 bus test system representing a standard radial distribution network for six different cases of EV charging station placement. It is observed that the system can withstand placement of fast charging stations at the strong buses up to a certain level, but the placement of fast charging stations at the weak buses of the system hampers the smooth operation of the power system. Further, a strategy for the placement of the EV charging stations on the distribution network is proposed based on a novel Voltage stability, Reliability, and Power loss (VRP) index. The results obtained indicate the efficacy of the VRP index.

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Identification of the weakest buses in unbalanced multiphase smart grids with Plug-in Electric Vehicle charging stations

Cited by 19 publications

References 12 publications

Accessing flexibility of electric vehicles for smart grid integration

Accessing flexibility of electric vehicles for smart grid integration

Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City

Impact of Electric Vehicle Charging Station Load on Distribution Network

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