Use of EV hosting capacity for management of low‐voltage distribution systems

Barbosa, Tiago; Andrade, José Geraldo Pena de; Torquato, Ricardo; Freitas, Walmir; Trindade, Fernanda C. L.

doi:10.1049/iet-gtd.2019.1791

Cited by 25 publications

(13 citation statements)

References 24 publications

(51 reference statements)

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“…A stochastic model for EV charging was developed in [26]. In [27], a kernel distribution is applied to destination surveys. It was shown that the charging location was the most critical variable and that EV hosting capacity is very much restricted by the minimum voltage [27].…”

Section: Review On Ev Stochastic Hosting Capacitymentioning

confidence: 99%

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

2021

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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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Section: Review On Ev Stochastic Hosting Capacitymentioning

confidence: 99%

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

2021

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“…In the literature, most charging optimization studies have focused on reducing the frequency deviation [19], peak load [20], line or transformer overloading [21], current unbalance [22], voltage sags [23], network costs [24], charging costs to the EV owners [25], or charging costs to the station owners [26,27]; however, the quality of charging service in terms of lost energy is considered in one way or another only in [10,11,14]. From these three studies, real charging data is only used in [10].…”

Section: Introductionmentioning

confidence: 99%

Electric Vehicles as a Flexibility Provider: Optimal Charging Schedules to Improve the Quality of Charging Service

et al. 2021

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The sub-aggregation of electric vehicles provides significant potential to power systems in the form of ancillary services. This means with smart charging it is possible to shift loads from peak to off-peak hours. For the flexibility from privately owned electric vehicles to be offered to the electricity market, customer participation is crucial; however, the impacts of sub-aggregation on customers have not been studied thoroughly. In this paper, charging data covering over 80,000 real-world charging sessions from various commercial charging sites are introduced and the charging characteristics are analyzed. Importantly, a method for finding an optimal pattern for load reduction with the least impact on customers is presented. We suggest an optimal schedule for load reduction from the customer viewpoint at different types of charging sites, including public car parks, offices, residential sites, and shopping centers. The findings indicate that residential and office charging sites offer the greatest potential for load reduction with the least impact on customers. The most flexibility is available during peak charging hours, which on average are at 08:00 at car parks, 07:30 at office sites, 19:00 at residential sites, and 10:00 at shopping centers.

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“…However, charging PEVs can cause negative impacts on the power grid. Studies about the impacts resulting from the PEVs charging in distribution systems (DSs) were previously performed [3]- [5]. The results showed negative impacts on the DS for different PEVs penetration levels (Pl).…”

Section: Introductionmentioning

confidence: 99%

Investigation on Using Low Voltage Automatic Regulation to Minimize the Impacts of Charging Plug-in Electric Vehicles in Distribution Systems

Nascimento¹,

Oliveira²,

Vieira³

2021

REPQJ

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The growth of micro and mini distributed generation and, more recently, the use of electric energy storage systems and the incentives for electric mobility are important examples of the transformations that distribution networks have been going through. In this context, this paper firstly presents the impacts of uncoordinated plug-in electric vehicles (PEVs) charging in a real Brazilian distribution system. Four scenarios were elaborated with different PEVs penetration levels and the results show increased voltage unbalance, system losses, and violations of the steady-state voltage limits, even in the presence of an automatic voltage regulator installed in the medium voltage network. Then, as the main contribution, the potential usage of automatic voltage regulation at the low voltage network was investigated to minimize the negative impacts of uncontrolled PEV charging on distribution system steady-state operation. It is important to highlight that this is not a common practice of utilities in Brazil. The obtained results showed that regulating the voltage at the low voltage side could be an effective solution to keep the voltages within statutory limits.

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Use of EV hosting capacity for management of low‐voltage distribution systems

Cited by 25 publications

References 24 publications

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

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

Electric Vehicles as a Flexibility Provider: Optimal Charging Schedules to Improve the Quality of Charging Service

Investigation on Using Low Voltage Automatic Regulation to Minimize the Impacts of Charging Plug-in Electric Vehicles in Distribution Systems

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