Ye, Shengxuan and Dai, Yuxuan and Zhang, Fenglin and Qin, Zhiqi and Jin, Shuwen and Yan, Qiyao and Xu, Yangbing (2022) Multi-energy dispatching for uncertainty EV demand: A simulation approach. Frontiers in Energy Research, 10. ISSN 2296-598X
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Abstract
Uncertainty and randomness in demand and supply bring significant challenges to the stable operation of the grid and the scheduling planning of multi-energy sources. To solve these challenges, we propose and analyze a multi-energy dispatching model which minimizes the total cost and enhances the efficiency of supplying power. Specifically, we design matching algorithms that simulate an appropriately scaled sequence of stochastic EV demand. We also analyze four different energy dispatching scenarios proving that the scheduling model and the multi-energy synergistic microgrid structure can bring higher efficiency and lower costs. Our main contribution is using a simulation approach to take EVs into account for demand-side uncertainty, which significantly improves the efficiency of grid dispatch.
Item Type: | Article |
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Subjects: | Eurolib Press > Energy |
Depositing User: | Managing Editor |
Date Deposited: | 08 May 2023 04:36 |
Last Modified: | 12 Jan 2024 05:11 |
URI: | http://info.submit4journal.com/id/eprint/1806 |