Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers
With a rapid increase in the awareness of carbon reduction worldwide, the industry of electric vehicles (EVs) has started to flourish. However, the large number of EVs connected to a power grid with a large power demand and uncertainty may result in significant challenges for a power system. In this...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/4/962 |
| _version_ | 1797396899071787008 |
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| author | Jian-Tang Liao Hao-Wei Huang Hong-Tzer Yang Desheng Li |
| author_facet | Jian-Tang Liao Hao-Wei Huang Hong-Tzer Yang Desheng Li |
| author_sort | Jian-Tang Liao |
| collection | DOAJ |
| description | With a rapid increase in the awareness of carbon reduction worldwide, the industry of electric vehicles (EVs) has started to flourish. However, the large number of EVs connected to a power grid with a large power demand and uncertainty may result in significant challenges for a power system. In this study, the optimal charging and discharging scheduling strategies of G2V/V2G and battery energy storage system (BESS) were proposed for EV charging stations. A distributed computation architecture was employed to streamline the complexity of an optimization problem. By considering EV charging/discharging conversion efficiencies for different load conditions, the proposed method was used to maximize the operational profits of each EV and BESS based on the related electricity tariff and demand response programs. Moreover, the behavior model of drivers and cost of BESS degradation caused by charging and discharging cycles were considered to improve the overall practical applicability. An EV charging station with 100 charging piles was simulated as an example to verify the feasibility of the proposed method. The developed algorithms can be used for EV charging stations, load aggregators, and service companies integrated with distributed energy resources in a smart grid. |
| first_indexed | 2024-03-09T00:58:09Z |
| format | Article |
| id | doaj.art-e6d0dddb13a84cc2872369cb8f30c3a3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T00:58:09Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-e6d0dddb13a84cc2872369cb8f30c3a32023-12-11T16:47:22ZengMDPI AGEnergies1996-10732021-02-0114496210.3390/en14040962Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional ChargersJian-Tang Liao0Hao-Wei Huang1Hong-Tzer Yang2Desheng Li3Department of Electrical Engineering, National Cheng Kung University, Tainan 701, TaiwanDepartment of Electrical Engineering, National Cheng Kung University, Tainan 701, TaiwanDepartment of Electrical Engineering, National Cheng Kung University, Tainan 701, TaiwanState Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, ChinaWith a rapid increase in the awareness of carbon reduction worldwide, the industry of electric vehicles (EVs) has started to flourish. However, the large number of EVs connected to a power grid with a large power demand and uncertainty may result in significant challenges for a power system. In this study, the optimal charging and discharging scheduling strategies of G2V/V2G and battery energy storage system (BESS) were proposed for EV charging stations. A distributed computation architecture was employed to streamline the complexity of an optimization problem. By considering EV charging/discharging conversion efficiencies for different load conditions, the proposed method was used to maximize the operational profits of each EV and BESS based on the related electricity tariff and demand response programs. Moreover, the behavior model of drivers and cost of BESS degradation caused by charging and discharging cycles were considered to improve the overall practical applicability. An EV charging station with 100 charging piles was simulated as an example to verify the feasibility of the proposed method. The developed algorithms can be used for EV charging stations, load aggregators, and service companies integrated with distributed energy resources in a smart grid.https://www.mdpi.com/1996-1073/14/4/962battery degradationcharging and discharging schedulingconversion efficiencydemand responseelectric vehicleoptimization |
| spellingShingle | Jian-Tang Liao Hao-Wei Huang Hong-Tzer Yang Desheng Li Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers Energies battery degradation charging and discharging scheduling conversion efficiency demand response electric vehicle optimization |
| title | Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers |
| title_full | Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers |
| title_fullStr | Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers |
| title_full_unstemmed | Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers |
| title_short | Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers |
| title_sort | decentralized v2g g2v scheduling of ev charging stations by considering the conversion efficiency of bidirectional chargers |
| topic | battery degradation charging and discharging scheduling conversion efficiency demand response electric vehicle optimization |
| url | https://www.mdpi.com/1996-1073/14/4/962 |
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