A5051404294- Microgrid Control and Optimization
- Energy Load and Power Forecasting
- Power Systems and Renewable Energy
- Optimal Power Flow Distribution
- Wind Turbine Control Systems
- Face and Expression Recognition
- Power System Optimization and Stability
- HVDC Systems and Fault Protection
- Advanced Image and Video Retrieval Techniques
- Smart Grid Security and Resilience
- Smart Grid Energy Management
- Power System Reliability and Maintenance
- Wind Energy Research and Development
- Digital Imaging for Blood Diseases
- Electric Power System Optimization
- Image Retrieval and Classification Techniques
- Face recognition and analysis
- Integrated Energy Systems Optimization
- AI in cancer detection
- High-Voltage Power Transmission Systems
- Software-Defined Networks and 5G
- Neural Networks and Applications
- Real-time simulation and control systems
- Multilevel Inverters and Converters
- COVID-19 diagnosis using AI
Harbin Institute of Technology
2022-2025
Weihai Science and Technology Bureau
2025
Sichuan University
2024
Korea Advanced Institute of Science and Technology
2024
Huazhong University of Science and Technology
2010-2023
People's Bank of China
2022
Henan Polytechnic University
2019-2020
University of Leicester
2020
Jiangnan University
2014
Cranfield University
2010-2012
Abstract: An integrated structural health monitoring (SHM) system for highway bridges is presented. The based on a customized wireless sensor network platform with flexible design that provides variety of sensors typical in SHM. These include accelerometers, strain gauges, and temperature ultra‐low power consumption. S‐Mote node, an acceleration board, board are developed to satisfy the requirements bridge monitoring. Communication software components within TinyOS operating provide whereas...
Scenario forecasting methods have been widely studied in recent years to cope with the wind power uncertainty problem. The main difficulty of this problem is accurately and comprehensively reflect time-series characteristics spatial-temporal correlation generation. In paper, marginal distribution model dependence structure are combined describe these complex characteristics. On basis, a scenario generation method for multiple farms proposed. For model, autoregressive integrated moving...
Modern power systems require fast and effective load shedding to maintain frequency stability enhance resilience, especially during disturbances. Traditional methods suffer from several shortcomings, including slow computational time negligence of priorities. To address these challenges, this paper introduces a novel approach based on prediction deep reinforcement learning. First, dynamic response model the system is constructed. This imitates through transfer function, this, indices...
Fault diagnosis is important to stable operation of power systems, and the machine-learning-based fault-diagnosis models were widely studied because their strong generalization ability. However, model structures are generally designed according topology systems. Once there changes in topology, system fault characteristics might change, structure parameters often required be adjusted for applying new To avoid frequent adjustment work when changes, we propose a novel First, data preprocessing...
Consensus based distributed control schemes have been widely applied to different operation scenarios of wind farms (WFs). However, few studies concern the influences WF communication network topology consensus performances. This paper proposes an optimal design method for re/active power regulation WF, in which each individual turbine (WT) is equipped with energy storage (ES) unit. Firstly, basic model WT ES presented, and scheme described. Secondly, optimization constructed, so as speed up...
With the rapid development of renewable energy, microgrids are becoming more and essential in distribution networks. However, uncertainties brought by new energy sources have posed great challenges to safety stability networks, especially process fault restoration. To address these issues, this paper investigates an emergency power supply recovery strategy for networks considering support capability high-dimensional dynamic correlations uncertainty. Firstly, structure including is analyzed....
With the problems of fault handling in distribution network, few studies concern correlation between islanding operation and recovery. Thus, this paper proposes an recovery strategy for network considering uncertainty new energy. Firstly, objectives division scheme optimization are established. Combined with radiation constraints, power supply capacity, safety distributed generator (DG) a rolling method is used to construct model. Secondly, stage, characteristics island node load weight...
This paper proposes a multi-level operation method designed to enhance the resilience of power systems under extreme weather conditions by utilizing preventive control and virtual oscillator (VO) technology. Firstly, novel model for predicting time intervals between successive failures system during is introduced. Based on this, this considering ramping transmission constraints prior so as ensure normal electricity demand within system. Further, VO-based adaptive frequency strategy...