Solar PV stochastic hosting capacity in distribution networks considering aleatory and epistemic uncertainties

Mulenga, Enock; Bollen, Math; Etherden, Nicholas

doi:10.1016/j.ijepes.2021.106928

Cited by 45 publications

(33 citation statements)

References 25 publications

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“…Several EV charge hosting capacity methods using stochastic methods have been proposed, including some of the uncertainties [3,7,10,12,16,17,[19][20][21][22]. There are two types of uncertainties, aleatory, and epistemic uncertainties [22].…”

Section: Review On Ev Stochastic Hosting Capacitymentioning

confidence: 99%

“…There are two types of uncertainties, aleatory, and epistemic uncertainties [22]. Being aware of the difference between these is important; A detailed description of these two types of uncertainties and their application to solar PV hosting capacity is given in [21].…”

Section: Review On Ev Stochastic Hosting Capacitymentioning

confidence: 99%

“…Information on aleatory uncertainties can be obtained by statistical analysis of measurement data. The uncertainty of the variables can be characterised by means of probabilities or a probability distribution function [21,28]. Those can in turn be used as input in stochastic studies where aleatory uncertainties affect the outcome.…”

Section: Brief Description Of Aleatory and Epistemic Uncertaintiesmentioning

confidence: 99%

“…A Monte Carlo based simulation for EV charging assessment is proposed because of the stochastic elements it contains [20]. A Monte Carlo based stochastic approach was used for solar PV hosting capacity estimation in [21]. The method proposed and used in [21] is adapted for EV charging in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…A Monte Carlo based stochastic approach was used for solar PV hosting capacity estimation in [21]. The method proposed and used in [21] is adapted for EV charging in this paper. The resulting approach is applied to obtain the hosting capacity for EV charging of a number of existing low-voltage networks in Sweden.…”

Section: Introductionmentioning

confidence: 99%

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Adapted Stochastic PV Hosting Capacity Approach for Electric Vehicle Charging Considering Undervoltage

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This paper presents a stochastic approach to single-phase and three-phase EV charge hosting capacity for distribution networks. The method includes the two types of uncertainties, aleatory and epistemic, and is developed from an equivalent method that was applied to solar PV hosting capacity estimation. The method is applied to two existing low-voltage networks in Northern Sweden, with six and 83 customers. The lowest background voltage and highest consumption per customer are obtained from measurements. It is shown that both have a big impact on the hosting capacity. The hosting capacity also depends strongly on the charging size, within the range of charging size expected in the near future. The large range in hosting capacity found from this study—between 0% and 100% of customers can simultaneously charge their EV car—means that such hosting capacity studies are needed for each individual distribution network. The highest hosting capacity for the illustrative distribution networks was obtained for the 3.7 kW single-phase and 11 kW three-phase EV charging power.

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