Flexible Operation of an EV Parking Lot for Voltage Control of a Distribution Network
Abstract
The paper presents an optimization model for the voltage control in a distribution network, which exploits the flexibility provided by parking lots equipped with several electric vehicle (EV) charging stations. The optimization process is performed through the definition of an objective function given by the sum of deviations of node voltages with respect to the ref-erence value, subject to the linearized set of DistFlow equations. The problem is solved according to a centralized approach by the definition of voltage control zones. To provide an ancillary service to the network, the EV aggregator of the charging stations in the parking lot can vary the intra-day scheduling inside the flexibility margins calculated so to guarantee the appropriate EV charging level by using a stochastic optimization approach. The paper illustrates the results for different case studies based on the IEEE-123 node Test Feeder. The results demonstrate the efficacy of utilizing flexibility services in optimizing the voltage profile.
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The proposed voltage optimization considers subsequent time intervals to account for energy recovery by PLs after flexibility has been used, which is a significant improvement over the approach presented in [34].
“As shown in Fig. 2, the voltage optimization is a dispatching activity performed on a short time horizon, f.i. every quarter of hour, but considering also the subsequent time intervals to account for the energy recovery by PLs after flexibility has been used. This represents a significant improvement with respect to the approach presented in [34].”
From Enhancing voltage optimization in distribution networks through flexible operation of EV parking lots (2025) · cites this paper as [34]
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De Santis, M., Harighi, T., Di Fazio, A. R., Borghetti, A., & Russo, M. (2025) · Sustainable Energy, Grids and Networks · doi:10.1016/j.segan.2024.101601 · Cited by 9 · see citing works
Self-citation
- Authors
- Harighi, T., Borghetti, A., De Santis, M., Di Fazio, A. R., & Russo, M.
- Affiliations
- University of Bologna (IT)
- University Niccolò Cusano,Department of Engineering,Rome,Italy
- DIEI, University of Cassino and Southern Latium,Cassino,FR,Italy
- Università degli studi di Cassino e del Lazio Meridionale (IT)
- Venue
- 2023 International Conference on Smart Energy Systems and Technologies (SEST)
- Publisher
- IEEE
- Published
- 2023-09-04
- Volume
- 26
- Pages
- 1-6
- OpenAlex
- W4387090723
- Cited by
- 3
- References
- 0
- Citations by year
- 2025: 2 · 2024: 1
- FWCI
- 1.46
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Smart Energy Systems and Technologies (SEST) (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
- Archivio Istituzionale della Ricerca - Università degli Studi di Cassino (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- electric vehicle charging, voltage regulation, distribution networks, parking lots, electric vehicle aggregators, ancillary services, voltage profile optimization, DistFlow, stochastic optimization, centralized control, intra-day scheduling
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