A5085592450- Wind Turbine Control Systems
- Power System Optimization and Stability
- HVDC Systems and Fault Protection
- Security and Verification in Computing
- High-Voltage Power Transmission Systems
- Power Systems and Renewable Energy
- Microgrid Control and Optimization
- IoT and Edge/Fog Computing
- Advanced Malware Detection Techniques
- Formal Methods in Verification
- Physical Unclonable Functions (PUFs) and Hardware Security
Huazhong University of Science and Technology
2023-2024
North China Electric Power University
2016-2017
Doubly fed induction generator (DFIG) wind turbines with virtual inertia control are coupled to power system in dynamic characteristics, and the input of is directly affected by tracking ability phase-locked loop (PLL). Thus, it urgent study impact DFIG on small-signal stability considering effects PLL. First, based operation characteristic strategy, a model interconnected integration PLL inertial established. Second, attenuation time constants state variables calculated, according speeds...
Concerning the stochastic excitation caused by wind power fluctuation and parameter of virtual inertia speed uncertainty, a system stability analysis method considering Wiener noise is proposed in this paper. First, based on reduced-order model DFIG retaining control phase-locked loop (phase-locked loop) dynamics, analytic function relationship between parameters elements state matrix derived using sensitivity method; thus, interconnected with established. And constructing Lyapunov...
In view of the problem that detailed model doubly‐fed induction generator (DFIG) considering virtual inertia control is high ordered and difficult to analyse, a reduced‐order for DFIG applicable small‐signal stability analysis presented. First, according attenuating speed each state variable, dynamic characteristics different components are explored from time scale perspective. On this basis, electromechanical coupling characteristic DFIG, third‐order simplified retaining phase‐locked loop...
Device sharing among users is a common functionality in today's IoT clouds. Supporting device are the delegation methods proposed by different clouds, which we find heterogeneous and ad-hoc clouds use various data (e.g., ID, product access token) as authorization certificates. In this paper, report first systematic study on how authorization-data managed sharing. Our brought to light security risks management, identifying 6 leakage flaws. To mitigate such flaws, propose an approach hide from...