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EDITORIAL article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1483215
This article is part of the Research Topic Power System Operation and Optimization Considering High Penetration of Renewable Energy View all 26 articles

Editorial: Power System Operation and Optimization Considering High Penetration of Renewable Energy

Provisionally accepted
  • 1 State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, China
  • 2 Zhejiang University, Hangzhou, Zhejiang Province, China
  • 3 The University of Tennessee, Knoxville, Knoxville, Tennessee, United States
  • 4 Technical University Dortmund, Dortmund, North Rhine-Westphalia, Germany

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

    Keywords: Power system operation and control, Power System Optimization, economic and low-carbon dispatch, artificial intelligence, power system restoration

    Received: 19 Aug 2024; Accepted: 29 Aug 2024.

    Copyright: © 2024 Liu, Lin, Dong and Zhao. 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: Shengyuan Liu, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, 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.