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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 |
doi: 10.3389/fenrg.2024.1506211
This article is part of the Research Topic Advancing Demand Response in Renewable Smart Grid for a Sustainable Future View all 5 articles
Voltage Regulation in Distribution Networks by Electrical Vehicles with Online Parameter Estimation
Provisionally accepted- 1 State Grid Jiangsu Electric Power Co., LTD, Nanjing, Jiangsu Province, China
- 2 China Electric Council, Beijing, China
- 3 Shanghai Jiao Tong University, Shanghai, China
The integration of a large number of electric vehicles (EVs) offers a new perspective for providing voltage regulation services for the operation of distribution networks. In this paper, we utilize EV clusters by controlling the discharging power to realize voltage regulation of distribution networks. We formulate a feedback-based optimization problem with the objectives of minimizing voltage mismatch as well as reducing the cost of voltage regulation services provided by EV clusters. Then we propose an algorithm with online resistance estimation to find the optimal solution without requiring complete information about distribution networks. The convergence of the proposed algorithm is guaranteed by theoretical proof. Numerical results in 33-bus system validate the performance of the algorithm.
Keywords: EV clusters, Voltage regulation, Feedback-based optimization, Online estimation, Recursive least squares
Received: 04 Oct 2024; Accepted: 18 Nov 2024.
Copyright: © 2024 Lyu, Han, Li, Yuan and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Wenyue Wang, Shanghai Jiao Tong University, Shanghai, China
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