Abstract
Aiming at the low economic problem of electric vehicle (EV) integration into microgrid, this paper proposes a multi-source collaborative scheduling strategy including four different modes under the condition of time-of-use (TOU) electricity price: off-grid scheduling mode, peak-price period grid-connected mode, parity period grid-connected mode and valley-price period grid-connected mode. The corresponding multi-source collaborative scheduling model and the optimization algorithm based on sparrow algorithm are also given to achieve the goal of minimizing the system operating cost. Finally, the simulation results show that the proposed method is effective and can effectively reduce the operation cost of microgrid system and the charging cost of electric vehicles compared with the traditional method.
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Acknowledgments
This work was funded by National Natural Science Foundation of China (61703068) and Chongqing Municipal Education Commission Science and Technology Research Project (KJ1704097) funded project.
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Ma, Y., Luo, G., Huang, B., Chen, C., Ma, W. (2024). Multi-source Cooperative Scheduling Strategy for Electric Vehicles Integrated into Microgrid Under TOU. In: Yang, Q., Li, Z., Luo, A. (eds) The Proceedings of the 18th Annual Conference of China Electrotechnical Society. ACCES 2023. Lecture Notes in Electrical Engineering, vol 1168. Springer, Singapore. https://doi.org/10.1007/978-981-97-1068-3_42
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DOI: https://doi.org/10.1007/978-981-97-1068-3_42
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-97-1068-3
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