Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation Services
This paper presents a novel control system for the participation of plug-in electric vehicles (PEVs) in the provisioning of ancillary services for frequency regulation, in a way that is transparent to the driver and harmonized with the smart charging service requirements. Given a power-frequency dro...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/23/7879 |
| _version_ | 1797507853332774912 |
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| author | Roberto Germanà Francesco Liberati Emanuele De Santis Alessandro Giuseppi Francesco Delli Priscoli Alessandro Di Giorgio |
| author_facet | Roberto Germanà Francesco Liberati Emanuele De Santis Alessandro Giuseppi Francesco Delli Priscoli Alessandro Di Giorgio |
| author_sort | Roberto Germanà |
| collection | DOAJ |
| description | This paper presents a novel control system for the participation of plug-in electric vehicles (PEVs) in the provisioning of ancillary services for frequency regulation, in a way that is transparent to the driver and harmonized with the smart charging service requirements. Given a power-frequency droop curve, which specifies how the set of PEVs collectively participate to the provisioning of the frequency regulation service (we call this curve a “global” droop curve), we propose an algorithm to compute “local” droop curves (one for each PEV), which are optimized according to the current status of the PEV and the current progress of the smart recharging session. Once aggregated, the local droop curves match the global one (so that the PEVs contribute as expected to the provisioning of the ancillary service). One innovative aspect of the proposed algorithm is that it is specifically designed to be interoperable with the algorithms that control the PEV recharging process; hence, it is transparent to the PEV drivers. Simulation results are presented to validate the proposed solution. |
| first_indexed | 2024-03-10T04:55:18Z |
| format | Article |
| id | doaj.art-728cfe3faae747388b4371fc6aa3b4d5 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:55:18Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-728cfe3faae747388b4371fc6aa3b4d52023-11-23T02:19:11ZengMDPI AGEnergies1996-10732021-11-011423787910.3390/en14237879Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation ServicesRoberto Germanà0Francesco Liberati1Emanuele De Santis2Alessandro Giuseppi3Francesco Delli Priscoli4Alessandro Di Giorgio5Department of Computer, Control and Management Engineering (DIAG), University of Rome “La Sapienza”, 00185 Rome, ItalyDepartment of Computer, Control and Management Engineering (DIAG), University of Rome “La Sapienza”, 00185 Rome, ItalyDepartment of Computer, Control and Management Engineering (DIAG), University of Rome “La Sapienza”, 00185 Rome, ItalyDepartment of Computer, Control and Management Engineering (DIAG), University of Rome “La Sapienza”, 00185 Rome, ItalyDepartment of Computer, Control and Management Engineering (DIAG), University of Rome “La Sapienza”, 00185 Rome, ItalyDepartment of Computer, Control and Management Engineering (DIAG), University of Rome “La Sapienza”, 00185 Rome, ItalyThis paper presents a novel control system for the participation of plug-in electric vehicles (PEVs) in the provisioning of ancillary services for frequency regulation, in a way that is transparent to the driver and harmonized with the smart charging service requirements. Given a power-frequency droop curve, which specifies how the set of PEVs collectively participate to the provisioning of the frequency regulation service (we call this curve a “global” droop curve), we propose an algorithm to compute “local” droop curves (one for each PEV), which are optimized according to the current status of the PEV and the current progress of the smart recharging session. Once aggregated, the local droop curves match the global one (so that the PEVs contribute as expected to the provisioning of the ancillary service). One innovative aspect of the proposed algorithm is that it is specifically designed to be interoperable with the algorithms that control the PEV recharging process; hence, it is transparent to the PEV drivers. Simulation results are presented to validate the proposed solution.https://www.mdpi.com/1996-1073/14/23/7879ancillary servicesfrequency regulationplug-in electric vehicles |
| spellingShingle | Roberto Germanà Francesco Liberati Emanuele De Santis Alessandro Giuseppi Francesco Delli Priscoli Alessandro Di Giorgio Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation Services Energies ancillary services frequency regulation plug-in electric vehicles |
| title | Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation Services |
| title_full | Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation Services |
| title_fullStr | Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation Services |
| title_full_unstemmed | Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation Services |
| title_short | Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation Services |
| title_sort | optimal control of plug in electric vehicles charging for composition of frequency regulation services |
| topic | ancillary services frequency regulation plug-in electric vehicles |
| url | https://www.mdpi.com/1996-1073/14/23/7879 |
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