ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Smart Grids
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1645357
This article is part of the Research TopicProgress and Challenges in Power Systems: Distributed Generation, Smart Metering, Energy Storage and Electric VehiclesView all articles
A safety assessment method for substation system dynamics adapted to high penetration of distributed renewable energy sources with backward flow delivery
Provisionally accepted
- Shanghai University of Electric Power, Shanghai, China
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To address the challenges of bidirectional power flow and complex fault characteristics caused by the high penetration of renewable energy sources in substations, this paper proposes a comprehensive safety assessment method for substations based on system dynamics. By constructing a spatiotemporal correlation network of substation equipment and incorporating power flow reversal scenarios, the method establishes a dynamic risk assessment model that couples three key factors: power grid operation, equipment aging, and equipment interdependencies. Validation results from a case study of a regional substation demonstrate that the proposed method can quantify the fault propagation effects among equipment, achieve dynamic evaluation of the overall safety status of the substation, and effectively overcome the limitations of existing approaches, such as single factor assessment and neglect of equipment correlations. This provides a new analytical approach for ensuring the safe operation of substations with high renewable energy integration.
Keywords: new power system1, fault probability2, adjacency matrix3, distributed powersupply4, system dynamics mode5
Received: 11 Jun 2025; Accepted: 09 Oct 2025.
Copyright: © 2025 Xie, Yang, Deng, Jiang, Hong 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: Yuqi Yang, yy1226517591@163.com
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