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Suying Gui on Muck Rack

Suying Gui

As seen in: Nature, MDPI
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Articles

Research on a fast self-healing control method for tie-line faults in regional distribution networks based on source–load–storage interaction

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By Chuan Zhou, Suying Gui, Guomin Gao, Chaoyi Liu, Yongtao Ma
| Nature Verified
Abstract To address the challenges of islanding susceptibility, complex network topology, and insufficient coordination between traditional protection and stability control under high penetration of distributed generation in regional distribution networks, a fast fault self-healing control method based on source–load–storage coordinated interaction is proposed.
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Application of Voiceprint Recognition Technology Based on Channel Confrontation Training in the Field of Information Security

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By Suying Gui, Chuan Zhou, Hao Wang, Tiegang Gao
| MDPI
Abstract : With the rapid development of big data, artificial intelligence, and Internet technologies, human–human contact and human–machine interaction have led to an explosion of voice data. Rapidly identifying the speaker’s identity and retrieving and managing their speech data among the massive amount of speech data have become major challenges for intelligent speech applications in the field of information security.
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Fault Location of Distribution Network Based on Back Propagation Neural Network Optimization Algorithm

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By Chuan Zhou, Yan Liu, Junpeng Ma, Suying Gui
| MDPI
Abstract : Research on fault diagnosis and positioning of the distribution network (DN) has always been an important research direction related to power supply safety performance. The back propagation neural network (BPNN) is a commonly used intelligent algorithm for fault location research in the DN. To improve the accuracy of dual fault diagnosis in the DN, this study optimizes BPNN by combining the genetic algorithm (GA) and cloud theory.
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