On the impact of single-phase plug-in electric vehicles charging and rooftop solar photovoltaic on distribution transformer aging

Gray, Matthew K.; Morsi, Walid G.

doi:10.1016/j.epsr.2017.03.022

Cited by 29 publications

(13 citation statements)

References 10 publications

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“…In a parallel way, other researchers have investigated the technical impacts of PV systems on RDSs . The assessment of technical impact of PV systems and EVs has recently emerged in literature . Nonetheless, up to the present, potentially negative technical impacts have been minimised by strict interconnection requirements (eg, PV systems and EVs).…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, probabilistic techniques are the key to a more accurate assessment of the combined impact of uncertainties regarding RDS output variables. Of these techniques, the ones that are most frequently used are the following: probabilistic load flow methods based on Monte Carlo simulation (MCS), analytical techniques, and approximation methods …”

Section: Introductionmentioning

confidence: 99%

“…From the literature review about the impact of PV systems, EVs or the combined interaction on RDSs, major identified shortcomings in studies include: (1) the simulation step is not adjusted to 10 minutess (usually 0.5 or 1 hour is planned); (2) the technical impact is assessed without considering its probability of occurrence. This means that the probability distribution of the RDS output variable is not calculated; the averaged values are usually given and the probability of voltage threshold violation is not computed; (3) the correlation of the input variables is rarely considered.…”

Section: Introductionmentioning

confidence: 99%

“…[14][15][16][17][18][19][20][21][22][23] The assessment of technical impact of PV systems and EVs has recently emerged in literature. [24][25][26][27][28][29][30][31][32] Nonetheless, up to the present, potentially negative technical impacts have been minimised by strict interconnection requirements (eg, PV systems 33 and EVs 34 ). Such requirements are based on a deterministic assessment in the form of worst-case scenarios, namely, average or peak load assessments.…”

Section: Introductionmentioning

confidence: 99%

“…Of these techniques, the ones that are most frequently used are the following: probabilistic load flow methods based on Monte Carlo simulation (MCS), [5][6][7][8][9][10][11]13,[20][21][22]26,27,31,39 analytical techniques, 17,18,30 and approximation methods. 19,28 From the literature review about the impact of PV systems, 5-13 EVs [14][15][16][17][18][19][20][21][22][23] or the combined interaction [24][25][26][27][28][29][30][31][32] on RDSs, major identified shortcomings in studies include: (1) the simulation step is not adjusted to 10 minutess (usually 0.5 or 1 hour is planned); (2) the technical impact is assessed without considering its probability of occurrence. This means that the probability distribution of the RDS output variable is not calculated; the averaged values are usually given and the probability of voltage threshold violation is not computed; (3) the correlation of the input variables is rarely considered.…”

Section: Introductionmentioning

confidence: 99%

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Voltage behaviour in radial distribution systems under the uncertainties of photovoltaic systems and electric vehicle charging loads

Ruíz-Rodríguez

Hernández

Jurado

2017

Int Trans Electr Energ Syst

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Summary This paper presents a probabilistic method that accurately verifies the fulfilment of voltage constraints in radial distribution systems (RDSs) with photovoltaic (PV) systems and electric vehicle (EV) charging loads. This problem has not been comprehensively discussed. The proposed probabilistic method (PPM) involves the calculation of input variable cumulants, the linearization of load‐flow equations, and the application of the cumulant method and the Cornish‐Fisher expansion. Obviously, it is first necessary to model the PV systems and EV charging loads as random variables. In addition, the correlation of the input variables is suitably handled. As part of this research, a Monte Carlo simulation was performed, which confirmed the accuracy of the results obtained with the PPM. As an added value, when compared to the Monte Carlo simulation, there was a significant reduction in computational cost. The results obtained by the PPM demonstrate that the connection of PV systems in the IEEE 33‐node RDS with EVs clearly contributes to keeping voltages within regulatory limits, once the distributions of the RDS output variables are inspected. Nonetheless, the greater dispersion in the distributions in combined PV and EV scenarios means that voltage constraint fulfilment cannot be absolutely guaranteed. This probabilistic approach provides a more accurate assessment than one based on a simple deterministic vision. Thus, the PPM is extremely useful because it provides a better understanding of the combined technical impact under different correlated and uncorrelated scenarios.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Voltage behaviour in radial distribution systems under the uncertainties of photovoltaic systems and electric vehicle charging loads

Ruíz-Rodríguez

Hernández

Jurado

2017

Int Trans Electr Energ Syst

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Microgrids for Asset Management in Power Systems

2023

The Economics of Microgrids

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Energy Management in Plugin Hybrid Electric Vehicles with Hybrid Energy Storage System Using Hybrid Approach

Ramasamy

Chandramohan

Devadasu³

2022

Energy Tech

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Herein, an optimal control approach for the energy management of hybrid energy storage system (HESS) like battery, supercapacitor (SC), and integrated charging unit in plugin hybrid electric vehicle (PHEV) is proposed. The proposed approach is the combination of both the jellyfish search optimizer (JS) and gradient boosting decision tree algorithm (GBDT) and it is termed as JS‐GBDT approach. The high energy density battery and high power density SC are combined for satisfying the demand of vehicle. To balance the charging, an uncontrolled rectifier with DC to DC buck converter, and to guarantee smooth transition of energy, two bidirectional DC–DC buck–boost converters are utilized. To meet the load requirements, GBDT approach predicts and integrates the total power supply and the charging level of the power source. The output voltage regulation, reference generation, and smooth tracking of current are performed by the energy management of PHEV using JS approach. The proposed methodology is executed on MATLAB/Simulink working platform. The performance of the HESS is evaluated by utilizing the comparison analysis with existing systems. From the analysis, the proposed approach provides less stress for primary and secondary sources and improves the charging unit performance and enhances the battery life.

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On the impact of single-phase plug-in electric vehicles charging and rooftop solar photovoltaic on distribution transformer aging

Cited by 29 publications

References 10 publications

Voltage behaviour in radial distribution systems under the uncertainties of photovoltaic systems and electric vehicle charging loads

Voltage behaviour in radial distribution systems under the uncertainties of photovoltaic systems and electric vehicle charging loads

Microgrids for Asset Management in Power Systems

Energy Management in Plugin Hybrid Electric Vehicles with Hybrid Energy Storage System Using Hybrid Approach

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