116 citations · 390 across the 7 of their papers we have counts for
9 papers
Quantitative Method for Security Situation of the Power Information Network Based on the Evolutionary Neural Network
Quande Yuan, Yuzhen Pi, Lei Kou +2
Cybersecurity is the security cornerstone of digital transformation of the power grid and construction of new power systems. The traditional network security situation quantificati…
Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side
Jinsong Sang, Hongbin Sun, Lei Kou
As an efficient way to integrate multiple distributed energy resources and the user side, a microgrid is mainly faced with the problems of small-scale volatility, uncertainty, inte…
Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features
Lei Kou, Chuang Liu, Guo-wei Cai +2
A three-phase pulse-width modulation (PWM) rectifier can usually maintain operation when open-circuit faults occur in insulated-gate bipolar transistors (IGBTs), which will lead th…
A survey on the development status and application prospects of knowledge graph in smart grids
Jian Wang, Xi Wang, Chaoqun Ma +1
With the advent of the electric power big data era, semantic interoperability and interconnection of power data have received extensive attention. Knowledge graph technology is a n…
Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features
Kou Lei, Liu Chuang, Cai Guo-Wei +3
Three-phase PWM rectifiers are adopted extensively in industry because of their excellent properties and potential advantages. However, while the IGBT has an open-circuit fault, th…
Fault diagnosis for open-circuit faults in NPC inverter based on knowledge-driven and data-driven approaches
Lei Kou, Chuang Liu, Guo-wei Cai +3
In this study, the open-circuit faults diagnosis and location issue of the neutral-point-clamped (NPC) inverters are analysed. A novel fault diagnosis approach based on knowledge d…