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.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 9215166 |
| Tidsskrift | CSEE Journal of Power and Energy Systems |
| Vol/bind | 7 |
| Udgave nummer | 1 |
| Sider (fra-til) | 172-180 |
| Antal sider | 9 |
| ISSN | 2096-0042 |
| DOI | |
| Status | Udgivet - jan. 2021 |
Bibliografisk note
Funding Information:Manuscript received April 30, 2020; revised July 22, 2020; accepted August 10, 2020. Date of online publication October 6, 2020; date of current version October 26 2020. This work was supported by the Young Elite Scientists Sponsorship Program by CAST (2017QNRC001), National Natural Science Foundation of China (No. U1766204, NO.51821004), Beijing Municipal Science and Technology Project (No. Z181100005118005) and the Fundamental Research Funds for the Central Universities (2018ZD05).
Funding Information:
This work was supported by the Young Elite Scientists Sponsorship Program by CAST (2017QNRC001), National Natural Science Foundation of China (No. U1766204, NO.51821004), Beijing Municipal Science and Technology Project (No. Z181100005118005) and the Fundamental Research Funds for the Central Universities (2018ZD05).
Publisher Copyright:
© 2015 CSEE.