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BRIEF RESEARCH REPORT article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1540577
This article is part of the Research Topic Advanced Technologies for High-quality Development of Distribution Systems with Distributed Energy Resources View all 3 articles

A Multi-Grade Reactive Power Utilization Evaluation Method for Distribution Networks with High Renewables

Provisionally accepted
Min Xu Min Xu 1Wenqian Yao Wenqian Yao 1Wanyan Zeng Wanyan Zeng 2*Tianting Li Tianting Li 1Zhou Wang Zhou Wang 1Qing Dou Qing Dou 2
  • 1 Economic and Technological Research Institute, Development Division of State Grid Gansu Electric Power Company, Lanzhou, China
  • 2 Hunan University, Changsha, China

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

    This paper proposes a multi-grade reactive power utilization evaluation strategy for distribution networks with high renewables to identify the devices with low-grade utilization efficiency. Firstly, a suitability assessment indicator is presented to quantify the mismatch degree between reactive power demand and compensation capacity in distribution substations, and then a Kantorovich distance-based scenario reduction method is used to obtain typical reactive power load curves from historical data. Furthermore, influence factors on reactive power planning are investigated for distribution networks with different penetration level of renewable energy sources. Finally, considering zonal differences in load types and network structures, a multigrade utilization evaluation strategy is proposed to identify inefficient reactive power equipment under various operating conditions. Comparative case studies have validated the superior performance of the proposed strategy for better utilization of reactive power compensation equipment.

    Keywords: Distribution networks, reactive power utilization, Renewable Energy, multi-grade evaluation, Reactive power compensation equipment

    Received: 06 Dec 2024; Accepted: 28 Jan 2025.

    Copyright: © 2025 Xu, Yao, Zeng, Li, Wang and Dou. 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: Wanyan Zeng, Hunan University, Changsha, 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.