Impact of e-mobility participation in the ancillary service market on the operation of high-density urban low voltage distribution networks

Pilo, Fabrizio; Pisano, Giuditta; Ruggeri, Simona; Soma, Gian Giuseppe; Falabretti, Davide; Grillo, Samuele; Gulotta, Francesco

doi:10.23919/aeitautomotive52815.2021.9662764

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…It can be noticed that the CCA affects almost negligibly the quality of the carsharing service offered, since the probability to rent a vehicle with SoC < 0.5 (corresponding to the minimum autonomy threshold presented in Section 5) is only marginally increased by the scheduling. The loss of profit on day D for the carsharing operator can be calculated by Equation (22),…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In this regard, in studies [7,22], the authors presented a preliminary architecture to enable the e-mobility participation in the market for the AS provision, focusing also on the undesirable effects caused to the distribution grid. However, neither the details of the implemented optimization algorithm nor the approach adopted to simulate EV usage have been reported.…”

Section: Related Workmentioning

confidence: 99%

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A Nature-Inspired Algorithm to Enable the E-Mobility Participation in the Ancillary Service Market

Falabretti

Gulotta

2022

Energies

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In the present paper, a tool is proposed to optimally schedule the charging requests of a fleet of carsharing Electric Vehicles (EVs) in an urban area, to enable their participation in the Ancillary Service Market. The centralized scheduler minimizes the imbalance of an EV fleet with respect to the power commitment declared in the Day-Ahead Market, providing also tertiary reserve and power balance control to the grid. The regulation is carried out by optimizing the initial charging time of each vehicle, according to a deadline set by the carsharing operator. To this purpose, a nature-inspired optimization is adopted, implementing innovative hybridizations of the Artificial Bee Colony algorithm. The e-mobility usage is simulated through a topology-aware stochastic model based on carsharing usage in Milan (Italy) and the Ancillary Services requests are modeled by real data from the Italian electricity market. The numerical simulations performed confirmed the effectiveness of the approach in identifying a suitable schedule for the charging requests of a large EV fleet (up to 3200 units), with acceptable computational effort. The benefits on the economic sustainability of the E-carsharing fleet given by the participation in the electricity market are also confirmed by an extensive sensitivity analysis.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Nature-Inspired Algorithm to Enable the E-Mobility Participation in the Ancillary Service Market

Falabretti

Gulotta

2022

Energies

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“…Charging infrastructures, spread on the distribution network both at MV (through fast charging infrastructures) and LV level (slow charging stations), will be fundamental for favoring EV deployment. Even though they have multiple and various beneficial effects [2], replacing traditional internal combustion vehicles with EVs comes at a cost, at least for what concerns their impact on the power distribution network.…”

Section: Introductionmentioning

confidence: 99%

Impact of Electrical Vehicle Private Charging Stations on the Quality of the Low Voltage Network Supply

Pisano

Ruggeri

Soma

et al. 2023

IEEE Open J. Power Energy

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The appearance of new single-phase intensive and often coincident loads, such as the electric vehicle private charging stations (i.e., residential or private parking lots of shopping malls or workplaces), can affect the operation of low voltage (LV) distribution networks. Unbalances among the three-phase loading are extremely common, even if the end-users of a given LV network have similar behaviors. Due to the coincidence of such loads, excessive voltage drops may often appear, altering the quality of supply voltage provided to the LV end-users. This work evaluates the effects of residential and other charging stations located in parking lots of shopping malls or workplaces on the quality of supply voltage of LV grids. Then, a decentralized approach is proposed, based on the multi-agent system, which allows the different flexibility resources available on the grid to act together to improve the network quality. The agents cooperate to regulate the network nodal voltage, taking into account the characteristics of the resources they are controlling and the needs of their owners. A case study derived from a real portion of the Italian distribution system demonstrates the validity of the approach in solving the network operation criticalities.

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A model for estimating the energy demand of the EV charging stations in an urban area

Melis,

Pisano,

Pilo

et al. 2023

2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Syst

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Impact of e-mobility participation in the ancillary service market on the operation of high-density urban low voltage distribution networks

Cited by 4 publications

References 7 publications

A Nature-Inspired Algorithm to Enable the E-Mobility Participation in the Ancillary Service Market

A Nature-Inspired Algorithm to Enable the E-Mobility Participation in the Ancillary Service Market

Impact of Electrical Vehicle Private Charging Stations on the Quality of the Low Voltage Network Supply

A model for estimating the energy demand of the EV charging stations in an urban area

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