All Outputs (6)

An incremental high impedance fault detection method under non-stationary environments in distribution networks (2023)
Journal Article
Guo, M. F., Yao, M., Gao, J. H., Liu, W. L., & Lin, S. (2024). An incremental high impedance fault detection method under non-stationary environments in distribution networks. International Journal of Electrical Power & Energy Systems, 156, Article 109705. https://doi.org/10.1016/j.ijepes.2023.109705

In the non-stationary environments of distribution networks, where operating conditions continually evolve, maintaining reliable high impedance faults (HIF) detection is a significant challenge due to the frequent changes in data distribution caused... Read More about An incremental high impedance fault detection method under non-stationary environments in distribution networks.

Semantic segmentation-based intelligent threshold-free feeder detection method for single-phase ground fault in distribution networks (2023)
Journal Article
Hong, C., Qiu, H.-Y., Gao, J.-H., Lin, S., & Guo, M.-F. (in press). Semantic segmentation-based intelligent threshold-free feeder detection method for single-phase ground fault in distribution networks. IEEE Transactions on Instrumentation and Measurement, https://doi.org/10.1109/TIM.2023.3335520

Feeder detection for single-phase ground fault (SPGF) is challenging in a resonant grounded system due to the difference in feeder capacitance to ground and the influence of the arc suppression coil. This paper utilizes semantic segmentation algorith... Read More about Semantic segmentation-based intelligent threshold-free feeder detection method for single-phase ground fault in distribution networks.

A novel flexible fault eliminator with active disturbance rejection and soft grid-connection in distribution networks (2023)
Journal Article
Zheng, Z.-Y., Qiu, H.-Y., Zhang, B.-L., Guo, M.-F., Lin, S., & Cai, W.-Q. (2023). A novel flexible fault eliminator with active disturbance rejection and soft grid-connection in distribution networks. International Journal of Electrical Power & Energy Systems, 154, Article 109425. https://doi.org/10.1016/j.ijepes.2023.109425

Among the possible fault types in the distribution networks, single-line-to-ground (SLG) fault has the highest probability. The SLG fault current and arc can easily cause personal injury and death. This study proposed a flexible fault eliminator (FFE... Read More about A novel flexible fault eliminator with active disturbance rejection and soft grid-connection in distribution networks.

Application of Semantic Segmentation in High-Impedance Fault Diagnosis Combined Signal Envelope and Hilbert Marginal Spectrum for Resonant Distribution Networks (2023)
Journal Article
Gao, J.-H., Guo, M.-F., Lin, S., & Chen, D.-Y. (2023). Application of Semantic Segmentation in High-Impedance Fault Diagnosis Combined Signal Envelope and Hilbert Marginal Spectrum for Resonant Distribution Networks. Expert Systems with Applications, 231, Article 120631. https://doi.org/10.1016/j.eswa.2023.120631

The diagnosis of high-impedance fault (HIF) is a critical challenge due to the presence of faint signals that exhibit distortion and randomness. In this study, we propose a novel diagnostic approach for HIF based on semantic segmentation of the signa... Read More about Application of Semantic Segmentation in High-Impedance Fault Diagnosis Combined Signal Envelope and Hilbert Marginal Spectrum for Resonant Distribution Networks.

Multi-agent reinforcement learning control of a hydrostatic wind turbine-based farm (2023)
Journal Article
Huang, Y., Lin, S., & Zhao, X. (2023). Multi-agent reinforcement learning control of a hydrostatic wind turbine-based farm. IEEE Transactions on Sustainable Energy, https://doi.org/10.1109/tste.2023.3270761

This paper leverages multi-agent reinforcement learning (MARL) to develop an efficient control system for a wind farm comprising a new type of wind turbines with hydrostatic transmission. The primary motivation for hydrostatic wind turbines (HWT) is... Read More about Multi-agent reinforcement learning control of a hydrostatic wind turbine-based farm.

Flexible neutral point displacement overvoltage suppression method based on backstepping control in unbalanced distribution networks (2023)
Journal Article
Zheng, Z.-Y., Xu, J.-F., Zhang, B.-L., Wang, H., Guo, M.-F., & Lin, S. (2023). Flexible neutral point displacement overvoltage suppression method based on backstepping control in unbalanced distribution networks. International Journal of Electrical Power & Energy Systems, 148, Article 108950. https://doi.org/10.1016/j.ijepes.2023.108950

Three-phase AC distribution networks are required to operate as symmetrically as possible for optimal performance, but the three-phase-to-ground parameters are asymmetric in the field due to network construction deviation, resulting in the three-phas... Read More about Flexible neutral point displacement overvoltage suppression method based on backstepping control in unbalanced distribution networks.