ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Smart Grids
This article is part of the Research TopicStrength, Stability, and Operation of Electric Machines and New-Energy Power SystemsView all articles
Research on Optimal Configuration Method of Distributed Synchronous Condensers for Renewable Energy Integrated Distribution Networks
Provisionally accepted
- China Power Construction Group Hebei Electric Power Survey & Design Institute Co., Ltd, Shijiazhuang, China
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To address transient voltage violations and inter-area power fluctuations caused by renewable energy integration in distribution networks, this paper proposes a distributed synchronous condenser optimal allocation method that explicitly accounts for transient dynamics. First, a time-slice-based transient voltage security assessment index is developed in accordance with the transient voltage ride-through (VRT) requirements for renewable generation. Second, an index quantifying the improvement in transient voltage security is formulated to identify optimal installation locations for distributed synchronous condensers. Third, an optimization model for condenser capacity allocation is established and solved using a beetle swarm optimization algorithm. Finally, a simulation model is implemented to validate the proposed approach. Results show that, after optimization, the average voltage dip depth at grid-connected nodes is improved by more than 40%, the peak overvoltage is reduced by approximately 20%, and power transfer deviations in the export corridors are effectively mitigated. The simulations demonstrate that the proposed method enables renewable bus voltages to comply with prescribed transient VRT standards and significantly suppresses power fluctuations in the transmission corridors.
Keywords: renewable energy integration, optimal allocation of distributed synchronous condensers, Transient voltage, Distribution network, Beetle swarm optimization algorithm
Received: 21 Oct 2025; Accepted: 29 Nov 2025.
Copyright: © 2025 Gao, Zhang, Feng and Yan. 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: Chao Gao
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