ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Sustainable Energy Systems
Collaborative Fault-Tolerant Control of Power Systems Comprising Synchronous Generator Units
Provisionally accepted- 1Guangdong Electric Power Design Institute of China Energy Engineering Group, Guangzhou, China
- 2Guangdong Power Grid Corp Dongguan Power Supply Bureau, Dongguan, China
- 3North University of China, Taiyuan, China
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The inevitability of actuator faults within power systems, particularly those composed of synchronous generator units, poses a significant challenge. These faults, with the potential to induce frequency fluctuations, can lead to dynamic instability in the power system, emphasizing the critical need to address such issues. Exploring systematic fault-tolerant control mechanisms tailored for power systems with synchronous generator compositions holds paramount theoretical value and bears significant engineering implications. However, the intricate coupling effects between unknown actuator faults and interconnected outputs present a formidable obstacle. Conventional approaches, grappling with these intricate coupling effects, have proven insufficient in establishing a secure and stable control paradigm for power systems with synchronous generator units. In response to these challenges, this paper pioneers a novel distributed controller. Leveraging adaptive parameter design and deploying a sophisticated backstepping approach to estimate actuator fault terms, the controller ensures the stable operation of the power system in the face of actuator faults. To validate the efficacy of the proposed approach, simulations are meticulously executed using a representative large-scale power system as a case study. The simulation outcomes serve to affirm the effectiveness of the devised scheme, providing tangible evidence of its capability to ensure power system stability amidst actuator faults.
Keywords: Collaborative fault-tolerant control, Synchronous generator, Actuator failure, Backstepping technique, Distributedcontroller
Received: 14 Jun 2025; Accepted: 03 Dec 2025.
Copyright: © 2025 Li, Luo, Li, Wang and Zhihong. 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: Wang Zhihong
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