Wangyue

In 2007 and 2014, he received a doctorate degree in power system and automation engineering from Huazhong University of Science and Technology and a doctorate degree in electrical engineering from Zhejiang University. He served as a substation construction engineer for 3 years, and as a visiting scholar at Cornell University from 2019 to 2020 (USA). His main research areas are power system reliability and risk operation methods, power system backup planning and small probability high-risk event assessment. He presides over the project of the National Natural Science Foundation of China Research on theory and application of low-probability high-impact risk assessment of power system based on importance sampling mechanism, Youth Fund of The Study on Multi-Coordinated-Mechanism Probabilistic Operational Reliability Evaluation of Smart Electric Distribution System (excellent finalization) and one Key laboratory open project. He has authored 9 SCI papers (the first author), which of 7 papers are included in IEEE and IET. He has hosted and participated in many projects sponsored by the national major special R&D and power grid companies.

Introduction to Research Field: Power system risk management and control is an interdisciplinary that specializes in system risk analysis and control around uncertain factors. It can provide auxiliary decision-making information for the safe design and operation of complex power systems and promote the dynamic balance of investment and reliability returns. By tracking system risks, the occurrence of high-risk system disasters such as large-scale blackouts and personal casualties can be suppressed with as little management and construction costs as possible. The subject is mainly predicated upon uncertainty theories such as probability theory, stochastic process and fuzzy theory, and leverages cutting-edge technologies such as data mining and artificial intelligence, and integrates modeling, analysis, calculation, control, and optimization, to focus on the fault statistics of electrical equipment, and information-energy-human complex network response to random interference as well as the interaction influences of the external operating environment.

major contribution (live update)

https://scholar.google.com/citations?user=8oM_bUoAAAAJ&hl=zh-CN

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