Fault reconstruction and fault-tolerant control of resilient equilibrium zone based on random forest algorithm

In order to reduce the degree of imbalance of power system distribution network, the study of fault reconstruction and fault-tolerant control in the elastic balance area based on random forest algorithm is proposed. Through the application of refined zoning, intelligent controller deployment, flexible regulation of renewable energy inverters and equivalent aggregation model, a network base model is constructed in the resilient balancing area; the centralized decision structure algorithm in random forest is introduced to locate the faults in the resilient balancing area; the overall architecture of the optimized restructuring of the topology of multi-balancing area network frames is designed for the different power shortage scenarios of the electric power system; In the specific control stage, the three-phase full-bridge rectifier and three-phase four-bridge arm inverter technical frameworks are adapted to adapt to the self-balancing emergency control requirements under the fault condition of flexible balancing zone. In the test results, the unbalance degree is stabilized below 6.0%.

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Publication Details

Published
2025-05-22
DOI
https://doi.org/10.1117/12.3067989
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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Fault reconstruction and fault-tolerant control of resilient equilibrium zone based on random forest algorithm

Kuang–Chao Fan, Weidong Zhong, Chun Li, Weiliang Liu et al.
Anomaly Detection Techniques and Applications
article

Fault reconstruction and fault-tolerant control of resilient equilibrium zone based on random forest algorithm

Kuang–Chao Fan, Weidong Zhong, Chun Li, Weiliang Liu, Jiwen Liu
article en

Abstract

In order to reduce the degree of imbalance of power system distribution network, the study of fault reconstruction and fault-tolerant control in the elastic balance area based on random forest algorithm is proposed. Through the application of refined zoning, intelligent controller deployment, flexible regulation of renewable energy inverters and equivalent aggregation model, a network base model is constructed in the resilient balancing area; the centralized decision structure algorithm in random forest is introduced to locate the faults in the resilient balancing area; the overall architecture of the optimized restructuring of the topology of multi-balancing area network frames is designed for the different power shortage scenarios of the electric power system; In the specific control stage, the three-phase full-bridge rectifier and three-phase four-bridge arm inverter technical frameworks are adapted to adapt to the self-balancing emergency control requirements under the fault condition of flexible balancing zone. In the test results, the unbalance degree is stabilized below 6.0%.

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Anomaly Detection Techniques and Applications
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