A Novel Unidirectional Smart Charging Management Algorithm for Electric Buses
The difficulty of controlling the charging of electric buses (EBs) and their effects on network demand are discussed in this study. The solutions suggest a call for worldwide, complex infrastructures that manage EVs and EBs equally. Additionally, the Distribution Network (DN) must be prepared for an...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/4/852 |
| _version_ | 1797621359073820672 |
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| author | Nicolae Darii Roberto Turri Keith Sunderland Fabio Bignucolo |
| author_facet | Nicolae Darii Roberto Turri Keith Sunderland Fabio Bignucolo |
| author_sort | Nicolae Darii |
| collection | DOAJ |
| description | The difficulty of controlling the charging of electric buses (EBs) and their effects on network demand are discussed in this study. The solutions suggest a call for worldwide, complex infrastructures that manage EVs and EBs equally. Additionally, the Distribution Network (DN) must be prepared for an increased prevalence of reverse power flow caused by widespread distributed renewable generation. This paper focuses exclusively on EBs since they have higher capacity and predictable charging patterns, which makes them more significant for the DN in the context of a transition to complete vehicle electrification and technologies that are mature enough to be hosted. The proposed algorithm employs the Day-Ahead Energy Market (DAEM) in the Smart Charging (SC) to forecast the network operating circumstances. Additionally, the technique makes it possible to facilitate distributed photovoltaic (PV) generation, allowing network demand to be referenced depending on net demand. It also identifies an appropriate individual charger current per vehicle and per-time-step with load-levelling or peak-shaving as its primary goal. The final real demand demonstrates that a coarse correction of the demand is possible. According to the analysis of the DN voltage profile and associated line losses, the ideal node position location of the CS is dependent on PV penetration. |
| first_indexed | 2024-03-11T08:54:50Z |
| format | Article |
| id | doaj.art-4ce18b7fb1fb4e9f8643c1f1cd1f9ca3 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T08:54:50Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-4ce18b7fb1fb4e9f8643c1f1cd1f9ca32023-11-16T20:11:00ZengMDPI AGElectronics2079-92922023-02-0112485210.3390/electronics12040852A Novel Unidirectional Smart Charging Management Algorithm for Electric BusesNicolae Darii0Roberto Turri1Keith Sunderland2Fabio Bignucolo3Department of Industrial Engineering, University of Padova, 35122 Padova, ItalyDepartment of Industrial Engineering, University of Padova, 35122 Padova, ItalySchool of Electrical & Electronic Engineering, Technological University Dublin, D07 EWV4 Dublin, IrelandDepartment of Industrial Engineering, University of Padova, 35122 Padova, ItalyThe difficulty of controlling the charging of electric buses (EBs) and their effects on network demand are discussed in this study. The solutions suggest a call for worldwide, complex infrastructures that manage EVs and EBs equally. Additionally, the Distribution Network (DN) must be prepared for an increased prevalence of reverse power flow caused by widespread distributed renewable generation. This paper focuses exclusively on EBs since they have higher capacity and predictable charging patterns, which makes them more significant for the DN in the context of a transition to complete vehicle electrification and technologies that are mature enough to be hosted. The proposed algorithm employs the Day-Ahead Energy Market (DAEM) in the Smart Charging (SC) to forecast the network operating circumstances. Additionally, the technique makes it possible to facilitate distributed photovoltaic (PV) generation, allowing network demand to be referenced depending on net demand. It also identifies an appropriate individual charger current per vehicle and per-time-step with load-levelling or peak-shaving as its primary goal. The final real demand demonstrates that a coarse correction of the demand is possible. According to the analysis of the DN voltage profile and associated line losses, the ideal node position location of the CS is dependent on PV penetration.https://www.mdpi.com/2079-9292/12/4/852electric busesdistribution network servicescharge management algorithm |
| spellingShingle | Nicolae Darii Roberto Turri Keith Sunderland Fabio Bignucolo A Novel Unidirectional Smart Charging Management Algorithm for Electric Buses Electronics electric buses distribution network services charge management algorithm |
| title | A Novel Unidirectional Smart Charging Management Algorithm for Electric Buses |
| title_full | A Novel Unidirectional Smart Charging Management Algorithm for Electric Buses |
| title_fullStr | A Novel Unidirectional Smart Charging Management Algorithm for Electric Buses |
| title_full_unstemmed | A Novel Unidirectional Smart Charging Management Algorithm for Electric Buses |
| title_short | A Novel Unidirectional Smart Charging Management Algorithm for Electric Buses |
| title_sort | novel unidirectional smart charging management algorithm for electric buses |
| topic | electric buses distribution network services charge management algorithm |
| url | https://www.mdpi.com/2079-9292/12/4/852 |
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