Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources
Electric vehicles (EVs) promote many advantages for distribution systems such as increasing efficiency and reliability, decreasing dependence on non-endogenous resources, and reducing pollutant emissions. Due to increased proliferation of EVs and their integration in power systems, management and op...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/11/11/3117 |
| _version_ | 1798043698086281216 |
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| author | Gerardo J. Osório Miadreza Shafie-khah Pedro D. L. Coimbra Mohamed Lotfi João P. S. Catalão |
| author_facet | Gerardo J. Osório Miadreza Shafie-khah Pedro D. L. Coimbra Mohamed Lotfi João P. S. Catalão |
| author_sort | Gerardo J. Osório |
| collection | DOAJ |
| description | Electric vehicles (EVs) promote many advantages for distribution systems such as increasing efficiency and reliability, decreasing dependence on non-endogenous resources, and reducing pollutant emissions. Due to increased proliferation of EVs and their integration in power systems, management and operation of distribution systems (ODS) is becoming more important. Recent studies have shown that EV can increase power grid flexibility since EV owners do not use them for 93⁻96% of the daytime. Therefore, it is important to exploit parking time, during which EVs can act either as a load or distributed storage device, to maximize the benefit for the power system. Following a survey of the current state-of-the-art, this work studies the impact of EV charging on the load profile. Since renewable energy resources (RES) play a critical role in future distribution systems the current case study considered the presence of RES and their stochastic nature has been modeled. The study proceeds with analyzing EV owners’ driving habits, enabling prediction of the network load profile. The impact of: EV charging modes (i.e., controlled and uncontrolled charging), magnitude of wind and photovoltaic (PV) generation, number of EVs (penetration), and driving patterns on the ODS is analyzed. |
| first_indexed | 2024-04-11T22:52:44Z |
| format | Article |
| id | doaj.art-82922ede29664a93904d1438d1f61f49 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:52:44Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-82922ede29664a93904d1438d1f61f492022-12-22T03:58:32ZengMDPI AGEnergies1996-10732018-11-011111311710.3390/en11113117en11113117Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy ResourcesGerardo J. Osório0Miadreza Shafie-khah1Pedro D. L. Coimbra2Mohamed Lotfi3João P. S. Catalão4C-MAST, University of Beira Interior, 6201-001 Covilhã, PortugalINESC TEC, 4200-465 Porto, PortugalFaculty of Engineering, University of Porto, 4200-465 Porto, PortugalINESC TEC, 4200-465 Porto, PortugalC-MAST, University of Beira Interior, 6201-001 Covilhã, PortugalElectric vehicles (EVs) promote many advantages for distribution systems such as increasing efficiency and reliability, decreasing dependence on non-endogenous resources, and reducing pollutant emissions. Due to increased proliferation of EVs and their integration in power systems, management and operation of distribution systems (ODS) is becoming more important. Recent studies have shown that EV can increase power grid flexibility since EV owners do not use them for 93⁻96% of the daytime. Therefore, it is important to exploit parking time, during which EVs can act either as a load or distributed storage device, to maximize the benefit for the power system. Following a survey of the current state-of-the-art, this work studies the impact of EV charging on the load profile. Since renewable energy resources (RES) play a critical role in future distribution systems the current case study considered the presence of RES and their stochastic nature has been modeled. The study proceeds with analyzing EV owners’ driving habits, enabling prediction of the network load profile. The impact of: EV charging modes (i.e., controlled and uncontrolled charging), magnitude of wind and photovoltaic (PV) generation, number of EVs (penetration), and driving patterns on the ODS is analyzed.https://www.mdpi.com/1996-1073/11/11/3117distribution systemelectric vehicle (EV)renewable energy resources (RES)stochastic programming |
| spellingShingle | Gerardo J. Osório Miadreza Shafie-khah Pedro D. L. Coimbra Mohamed Lotfi João P. S. Catalão Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources Energies distribution system electric vehicle (EV) renewable energy resources (RES) stochastic programming |
| title | Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources |
| title_full | Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources |
| title_fullStr | Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources |
| title_full_unstemmed | Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources |
| title_short | Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources |
| title_sort | distribution system operation with electric vehicle charging schedules and renewable energy resources |
| topic | distribution system electric vehicle (EV) renewable energy resources (RES) stochastic programming |
| url | https://www.mdpi.com/1996-1073/11/11/3117 |
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