- Wind Energy Research and Development
- Wind Turbine Control Systems
- Electric Power System Optimization
- Power Systems Fault Detection
- Robotic Mechanisms and Dynamics
- Power Systems and Technologies
- Manufacturing Process and Optimization
- Energy Load and Power Forecasting
- Smart Grid and Power Systems
- Fault Detection and Control Systems
- Advanced Sensor and Control Systems
- Microgrid Control and Optimization
- Piezoelectric Actuators and Control
- Advanced Algorithms and Applications
- Coal Properties and Utilization
- Power System Optimization and Stability
- Stability and Control of Uncertain Systems
- Fuzzy Logic and Control Systems
- Fluid Dynamics and Vibration Analysis
- Frequency Control in Power Systems
- Rock Mechanics and Modeling
- Smart Grid Energy Management
- Model Reduction and Neural Networks
- Advanced Surface Polishing Techniques
- Underground infrastructure and sustainability
Tianjin University
2022-2023
Tsinghua University
2019-2022
Anhui University
2021
State Key Joint Laboratory of Environment Simulation and Pollution Control
2020
China University of Mining and Technology
2019
Nanjing University of Posts and Telecommunications
2015
Dynamic power control of wind farms (WFs) is necessary to provide automatic generation (AGC) services for the system. However, cooperative WF AGC remains a great challenge because nonlinear and high-dimensional nature wake flow dynamics. To address this challenge, article proposes model predictive (MPC) framework with deep learning-based reduced-order modeling (ROM). Two novel neural network architectures are designed, which successfully formulate ROM capturing dominant steering dynamics in...
Abstract The abnormal emission of gas in coals is the main factor that induces serious disasters coal mines. During mining process, roof movement has important effects on law and flow characteristics. In this study, an extremely thick seam under fully mechanized sublevel caving conditions from Tashan mine China was used as example; effect weighting goaf studied. Then, large step small caused by different thicknesses lamprophyre breakage were objects a numerical simulation study...
Applying the consensus algorithm in Multi-Agent System, this paper proposes a fully distributed economic dispatch strategy for power systems considering flexible loads. Without center collecting global information, through using of information interaction among local buses, involving loads is achieved. The involves two algorithms running parallel. first which has mismatch correction term, term calculated by on bus to ensure generation-demand balance. second uses another calculate buses used...
Abstract Wake effects impose significant aerodynamic interactions among wind turbines. To improve the farm operating performance, practical online control considering wake becomes very important. achieve optimal while responding to grid demands, this paper proposes a novel supervisory (SC) model and its explicit solutions. From controller modelling perspective, two major modes, maximum power point tracking mode set‐point mode, are first analysed unified in one optimisation effects. In way,...
High efficiency and precision machining of complex components with spatial free-form surface features is facing significant scientific challenges, which put forward higher requirements for the design equipment. Considering engineering practice on rotation ability, motion stiffness performance mass equipment, two novel parallel five degree freedom (5-DOF) robots layout are proposed. This kind robot approximately centrally symmetric, reasonable constraint driving wrench design, greatly...
This work investigates the fault-tolerant control scheme for Takagi-Sugeno fuzzy semi-Markov jump systems with actuator faults. The hidden model is employed to describe asynchronous phenomenon between controller and plant. Based on Lyapunov theory, fault tolerant depending observable mode presented make sure that stochastically stable satisfies <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$H_{\infty}$</tex> performance. A simulation example...
Although deep learning has achieved impressive advances in transient stability assessment of power systems, the insufficient and imbalanced samples still trap training effect data-driven methods. This paper proposes a controllable sample generation framework based on Conditional Tabular Generative Adversarial Network (CTGAN) to generate specified samples. To fit complex feature distribution samples, proposed firstly models as tabular data uses Gaussian mixture normalize data. Then we...
Wake effects impose significant aerodynamic interactions among wind turbines. Advanced farm control considering the wake dynamics has become of great importance for energy integration into power grid. To address this issue, a control-oriented dynamic model is essential, which needs to be able capture dominant characteristics while ensuring high computational efficiency. In paper, data-driven reduced order method adopted develop low-order WF model. The captures flow seen by high-fidelity...
To provide automatic generation control (AGC) service, wind farms (WFs) are required to their operation dynamically track the time-varying power reference. Wake effects impose significant aerodynamic interactions among turbines, which remarkably influence WF dynamic production. The nonlinear and high-dimensional nature of wake model, however, brings extremely high computation complexity obscure design controllers. This paper overcomes difficulty brought by model proposing a novel...
It can accurately locate the fault of local feeder automation power grid, close area in time, and improve transmission efficiency grid. However, traditional grid location algorithm has limitations, which seriously affects operational causes a lot waste resources. Based on matrix algorithm, mathematical model distribution network topological region is established. Meaningless factors positioning are eliminated. A time difference method node used for identifying branch line. The primary...