Skip to main content

ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1479216
This article is part of the Research Topic Advanced Data-Driven Uncertainty Optimization for Planning, Operation, and Analysis of Renewable Power Systems View all 4 articles

A Low Voltage Load Balancing Distribution Method Considering Street Information and V2G Technology Application

Provisionally accepted
Youfei Lu Youfei Lu 1Yushen Gong Yushen Gong 2*Chenhui Huang Chenhui Huang 1Shaoyuan Gu Shaoyuan Gu 1Jiapeng Tong Jiapeng Tong 1Wendong Huang Wendong Huang 1
  • 1 Guangzhou Power Supply Bureau, Guangdong Power Grid Co., LTD., Guangdong, China
  • 2 South China University of Technology, Guangzhou, China

The final, formatted version of the article will be published soon.

    The low-voltage distribution network is the final stage in delivering electric energy from power plants to consumers. Its operational condition significantly affects numerous power users. Distribution companies can implement intelligent planning through comprehensive digital systems, effectively preventing load distribution imbalances for medium-voltage and high-voltage distribution networks. However, in the case of low-voltage distribution networks (LVDNs), resolving load imbalance issues typically relies on planners' experience, which poses significant limitations. Vehicle-to-grid (V2G) technology utilizes electric vehicle (EV) batteries as distributed energy storage units, enabling bidirectional energy and information exchange between the vehicle and the power grid. With advancements in EV charging technology, EVs can now actively participate in the operation of lowvoltage distribution networks (LVDNs) through V2G technology. This paper proposes a low-voltage load distribution planning method incorporating street information and V2G technology. A two-stage stochastic programming mixed-integer model is developed to address the issue of imbalanced loads in the low-voltage distribution network. The planning scheme is derived by solving this model. Finally, a case study is presented to verify the effectiveness of the proposed method.

    Keywords: Low-Voltage Distribution Network(LVDN)1, Load Balancing Distribution2, Two-Stage Stochastic Programming3, Street Information4, Vehicle to Grid(V2G)5

    Received: 11 Aug 2024; Accepted: 09 Sep 2024.

    Copyright: © 2024 Lu, Gong, Huang, Gu, Tong and Huang. 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: Yushen Gong, South China University of Technology, Guangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.