The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Electric Vehicle Charge–Discharge Management for Utilization of Photovoltaic by Coordination Between Home and Grid Energy Management Systems
Open accessAbstract
This paper proposes an electric vehicle (EV) charge-discharge management framework for the effective utilization of photovoltaic (PV) output through coordination based on information exchange between home energy management system (HEMS) and grid energy management system (GEMS). In our proposed framework, the HEMS determines an EV charge discharge plan for reducing the residential operation cost and PV curtailment without disturbing EV usage for driving, on the basis of voltage constraint information in the grid provided by the GEMS and forecasted power profiles. Then, the HEMS controls the EV charge-discharge according to the determined plan and real-time monitored data, which is utilized for mitigating the negative effect caused by forecast errors of power profiles. The proposed framework was evaluated on the basis of the Japanese distribution system simulation model. The simulation results show the effectiveness of our proposed framework from the viewpoint of reduction of the residential operation cost and PV curtailment.
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Citations
Cites
Erdinc, O., Paterakis, N. G., Mendes, T. D. P., Bakirtzis, A. G., & P. S. Catalao, J. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2352650 · Cited by 462
Cited by
Tushar, W., Yuen, C., Saha, T. K., Morstyn, T., Chapman, A. C., Alam, M. J. E., Hanif, S., & Poor, H. V. (2021) · Applied Energy · doi:10.1016/j.apenergy.2020.116131 · Cited by 523
Energy management system for smart grid: An overview and key issues
Rathor, S. K., & Saxena, D. (2020) · International Journal of Energy Research · doi:10.1002/er.4883 · Cited by 494
Kumar, M., Panda, K. P., Naayagi, R. T., Thakur, R., & Panda, G. (2023) · Applied Sciences · doi:10.3390/app13158919 · Cited by 221
EV Scheduling Framework for Peak Demand Management in LV Residential Networks
Rafique, S., Nizami, M. S. H., Irshad, U. B., Hossain, M. J., & Mukhopadhyay, S. C. (2022) · IEEE Systems Journal · doi:10.1109/jsyst.2021.3068004 · Cited by 39
Day-ahead Multistage Stochastic Optimization of a Group of Electric Vehicle Charging Stations
Orozco, C., Borghetti, A., Napolitano, F., & Tossani, F. (2021) · 2021 IEEE 15th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) · doi:10.1109/cpe-powereng50821.2021.9501228 · Cited by 5
Metadata
- Authors
- Kikusato, H., Mori, K., Yoshizawa, S., Fujimoto, Y., Asano, H., Hayashi, Y., Kawashima, A., Inagaki, S., & Suzuki, T.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2019-05
- Volume
- 10
- Issue
- 3
- Pages
- 3186-3197
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2795311922
- Cited by
- 192
- References
- 1
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Kikusato, H., Mori, K., Yoshizawa, S., Fujimoto, Y., Asano, H., Hayashi, Y., Kawashima, A., Inagaki, S., & Suzuki, T. (2019). Electric Vehicle Charge–Discharge Management for Utilization of Photovoltaic by Coordination Between Home and Grid Energy Management Systems. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2018.2820026
Data sources
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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