The importance of spatial distribution when analysing the impact of electric vehicles on voltage stability in distribution networks

Hoog, Julian de; Müenzel, Valentin; Jayasuriya, Derek C.; Alpcan, Tansu; Brazil, Marcus; Thomas, Doreen A.; Mareels, Iven; Dahlenburg, Glenn; Jegatheesan, Raman

doi:10.1007/s12667-014-0122-8

Cited by 45 publications

(33 citation statements)

References 26 publications

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“…All data input/output, logging, and algorithmic charging decisions are conducted using POSSIM. 3 More detailed descriptions of the simulation and modelling process are provided in de Hoog, Muenzel et al (2014).…”

Section: Modeling the Last Mile Of The Networkmentioning

confidence: 99%

On making energy demand and network constraints compatible in the last mile of the power grid

Mareels

Hoog

Thomas

et al. 2014

Annual Reviews in Control

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Section: Modeling the Last Mile Of The Networkmentioning

confidence: 99%

On making energy demand and network constraints compatible in the last mile of the power grid

Mareels

Hoog

Thomas

et al. 2014

Annual Reviews in Control

Self Cite

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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%

“…The impact of EV charging loads on the voltage stability of distribution network was also analysed in [11][12][13][14]. From the findings of [11][12][13][14], it is observed that most of the distribution networks could withstand the penetration of EVs up to a certain level. However, networks designed a decade ago are not equipped to withstand any large-scale integration of EVs.…”

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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“…In [5] is proposed a mixed-integer optimization model to decide between centralized and decentralized generation sources for new energy infrastructure development. In [6] is demonstrated that the physical locations of individual loads in the network (focus in electric vehicle charging) can determine if voltages values throughout the network remain in the required limits. In are presented methodologies to use DGs as an active element on technical planning process, i.e., DGs are used as a part of technical planning solution, through DGs optimal placement in the electrical distribution network.…”

Section: Introductionmentioning

confidence: 99%

Electrical distribution network operation with a presence of distributed generation units in a Pre Smart Grid environment using a clustering-based methodology

2015

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Technical planning methodologies applied to electrical distribution networks presented in the literature generally consider that the distributed generation units (DGs) are operating in their standard operation mode, i.e., the distribution network operators (DNOs) have no control over the active power dispatched by DGs and there is no injection of reactive power into the electrical distribution network. Furthermore, such methodologies generally consider only balanced loads connected to electrical distribution networks. Some others methodologies that have control over the power dispatched by DGs consider that the Smart Grid philosophy is completely implemented. However, it is a distant prospect in many developing countries. In that ideal scenario, there is a constant and online communication between DGs and DNOs control centers. In this paper, the authors propose a new technical planning methodology, based on a clustering method, that considers the occurrence of unbalanced electrical distribution loads, the absence of DNO control over the active power dispatched by DGs and the absence of online communications between DGs and DNOs. The proposed methodology can be implemented in a short and medium term (called Pre Smart Grid). In that period of time, the Smart Grid philosophy will not be completely implemented.

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The importance of spatial distribution when analysing the impact of electric vehicles on voltage stability in distribution networks

Cited by 45 publications

References 26 publications

On making energy demand and network constraints compatible in the last mile of the power grid

On making energy demand and network constraints compatible in the last mile of the power grid

Impact of Electric Vehicle Charging Station Load on Distribution Network

Electrical distribution network operation with a presence of distributed generation units in a Pre Smart Grid environment using a clustering-based methodology

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