Abstract
An approach to smoothing the fluctuations of large-scale wind power is investigated using vehicle-to-grid (V2G) systems. First, an energy management and optimization system is designed and modeled. By using the wavelet packet decomposition method, the target grid-connected wind power, the required electric vehicle (EV) power, and supercapacitor power are determined. The energy management model for EVs is then developed by introducing a knapsack problem that can evaluate the needs of an EV fleet. Furthermore, an optimized dispatch strategy for EVs and wind power is developed by using a dynamic programming method. A case study demonstrates that the energy management and optimization method for V2G systems achieves noticeable performance improvements over benchmark techniques.
Original language | English |
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Article number | 9215166 |
Journal | CSEE Journal of Power and Energy Systems |
Volume | 7 |
Issue number | 1 |
Pages (from-to) | 172-180 |
Number of pages | 9 |
ISSN | 2096-0042 |
DOIs | |
Publication status | Published - Jan 2021 |
Bibliographical note
Publisher Copyright:© 2015 CSEE.
Keywords
- Dynamic programming
- electric vehicle
- knapsack problem
- wavelet packet decomposition
- wind power integration