Optimal Short-Term Charge/Discharge Operation for Electric Vehicles With Volt-Var Control in Day-Ahead Electricity Market
This paper presents a methodology for optimizing the short-term operation of electric vehicle (EV) charging and discharging while considering the potential curtailment of active power due to volt-var control (VVC) prioritizing reactive power output. The proposed approach involves exchanging informat...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Access Journal of Power and Energy |
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| Online Access: | https://ieeexplore.ieee.org/document/10637353/ |
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| author | Hiroshi Kikusato Ryu Ando Jun Hashimoto Kenji Otani Nanae Kaneko |
| author_facet | Hiroshi Kikusato Ryu Ando Jun Hashimoto Kenji Otani Nanae Kaneko |
| author_sort | Hiroshi Kikusato |
| collection | DOAJ |
| description | This paper presents a methodology for optimizing the short-term operation of electric vehicle (EV) charging and discharging while considering the potential curtailment of active power due to volt-var control (VVC) prioritizing reactive power output. The proposed approach involves exchanging information between the EV aggregator and the distribution system operator (DSO). This approach allows the EV aggregator to optimize EV charge/discharge schedules while considering voltage-related constraints in the distribution system (DS). Initially, the aggregator shares the optimized schedule with the DSO to estimate the anticipated active power reduction through power flow analysis. Subsequently, the aggregator revises the constraint on active power output to avoid its expected curtailment and performs a second optimization for EV charging and discharging operation. Numerical simulations conducted on a realistic DS model in Japan validate the effectiveness of the proposed method in enhancing profitability in the day-ahead market while ensuring the quality of DS voltage. The results demonstrate an increase in profit by shifting the time of EV charging and discharging based on shared information from the DSO. |
| format | Article |
| id | doaj-art-06cbbdfdd20c445e955831d47fd8c0d6 |
| institution | Kabale University |
| issn | 2687-7910 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj-art-06cbbdfdd20c445e955831d47fd8c0d62025-01-21T00:03:04ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102024-01-011141042010.1109/OAJPE.2024.344474810637353Optimal Short-Term Charge/Discharge Operation for Electric Vehicles With Volt-Var Control in Day-Ahead Electricity MarketHiroshi Kikusato0https://orcid.org/0000-0001-8415-977XRyu Ando1https://orcid.org/0000-0003-4345-5139Jun Hashimoto2https://orcid.org/0000-0001-7627-3791Kenji Otani3https://orcid.org/0000-0002-2720-7357Nanae Kaneko4https://orcid.org/0000-0003-1326-3021National Institute of Advanced Industrial Science and Technology, Fukushima, JapanDepartment of Advanced Science and Engineering, Waseda University, Tokyo, JapanNational Institute of Advanced Industrial Science and Technology, Fukushima, JapanNational Institute of Advanced Industrial Science and Technology, Fukushima, JapanDepartment of Advanced Science and Engineering, Waseda University, Tokyo, JapanThis paper presents a methodology for optimizing the short-term operation of electric vehicle (EV) charging and discharging while considering the potential curtailment of active power due to volt-var control (VVC) prioritizing reactive power output. The proposed approach involves exchanging information between the EV aggregator and the distribution system operator (DSO). This approach allows the EV aggregator to optimize EV charge/discharge schedules while considering voltage-related constraints in the distribution system (DS). Initially, the aggregator shares the optimized schedule with the DSO to estimate the anticipated active power reduction through power flow analysis. Subsequently, the aggregator revises the constraint on active power output to avoid its expected curtailment and performs a second optimization for EV charging and discharging operation. Numerical simulations conducted on a realistic DS model in Japan validate the effectiveness of the proposed method in enhancing profitability in the day-ahead market while ensuring the quality of DS voltage. The results demonstrate an increase in profit by shifting the time of EV charging and discharging based on shared information from the DSO.https://ieeexplore.ieee.org/document/10637353/Aggregatordistribution systemelectric vehicleelectricity marketoptimizationvirtual power plant |
| spellingShingle | Hiroshi Kikusato Ryu Ando Jun Hashimoto Kenji Otani Nanae Kaneko Optimal Short-Term Charge/Discharge Operation for Electric Vehicles With Volt-Var Control in Day-Ahead Electricity Market IEEE Open Access Journal of Power and Energy Aggregator distribution system electric vehicle electricity market optimization virtual power plant |
| title | Optimal Short-Term Charge/Discharge Operation for Electric Vehicles With Volt-Var Control in Day-Ahead Electricity Market |
| title_full | Optimal Short-Term Charge/Discharge Operation for Electric Vehicles With Volt-Var Control in Day-Ahead Electricity Market |
| title_fullStr | Optimal Short-Term Charge/Discharge Operation for Electric Vehicles With Volt-Var Control in Day-Ahead Electricity Market |
| title_full_unstemmed | Optimal Short-Term Charge/Discharge Operation for Electric Vehicles With Volt-Var Control in Day-Ahead Electricity Market |
| title_short | Optimal Short-Term Charge/Discharge Operation for Electric Vehicles With Volt-Var Control in Day-Ahead Electricity Market |
| title_sort | optimal short term charge discharge operation for electric vehicles with volt var control in day ahead electricity market |
| topic | Aggregator distribution system electric vehicle electricity market optimization virtual power plant |
| url | https://ieeexplore.ieee.org/document/10637353/ |
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