A5031070086- Microgrid Control and Optimization
- Wind Turbine Control Systems
- Electric Motor Design and Analysis
- Multilevel Inverters and Converters
- Energy Load and Power Forecasting
- Sensorless Control of Electric Motors
- Enzyme Catalysis and Immobilization
- Advanced DC-DC Converters
- Smart Grid Energy Management
- Electric Power System Optimization
- Machine Fault Diagnosis Techniques
- Power Systems and Renewable Energy
- Optimal Power Flow Distribution
- Fault Detection and Control Systems
- Microbial Metabolic Engineering and Bioproduction
- Photovoltaic System Optimization Techniques
- Wind Energy Research and Development
- Integrated Energy Systems Optimization
- Plant tissue culture and regeneration
- Biofuel production and bioconversion
- Plant Genetic and Mutation Studies
- Power System Reliability and Maintenance
- Silicon Carbide Semiconductor Technologies
- Radio Frequency Integrated Circuit Design
- Steroid Chemistry and Biochemistry
Zhejiang University of Technology
2012-2025
Baise University
2025
The Scarborough Hospital
2021-2022
University of Toronto
2021-2022
Institute of Microelectronics
2020-2021
University of Chinese Academy of Sciences
2020-2021
Chinese Academy of Sciences
2009-2020
Institute of Electrical Engineering
2019
AbbVie (United States)
2018
University of Nebraska–Lincoln
2013-2017
This paper proposes an artificial neural network (ANN)-based reinforcement learning (RL) maximum power point tracking (MPPT) algorithm for permanent-magnet synchronous generator (PMSG)-based variable-speed wind energy conversion systems (WECSs). The proposed MPPT first learns the optimal relationship between rotor speed and electrical of PMSG through a combination ANNs Q-learning method. is switched from online RL to relation-based when learned. enables WECS behave like intelligent agent...
Abstract To facilitate wind energy use and avoid low returns, or even losses in extreme cases, this paper proposes an integrated risk measurement control approach to jointly manage multiple statistical properties of the expected profit distribution for a storage system. First, risk-averse stochastic decision-making framework multi-type measurements, including conditional value at Risk (CVaR), (VaR) shortfall probability (SP), are described detail. satisfy various needs decision makers,...
This paper proposes an intelligent maximum power point tracking (MPPT) algorithm for variable-speed wind energy conversion systems (WECSs) based on the reinforcement learning (RL) method. The model-free Q-learning is used by controller of WECS to learn a map from states optimal control actions online updating action values according received rewards. experienced are stored in Q-table, which points (MPPs) obtained after certain period learning. learned MPPs then generate optimum speed–power...
Abstract Insulin-induced gene (Insig) negatively regulates SREBP-mediated de novo fatty acid synthesis in the liver. However, upstream regulation of Insig is incompletely understood. Here we report that AMPK interacts with and mediates phosphorylation Insig. Thr222 following activation required for protein stabilization Insig-1, inhibition cleavage processing SREBP-1, lipogenic expression response to metformin or A769662. AMPK-dependent ablates Insig’s interaction E3 ubiquitin ligase gp78...
This paper proposes a novel transient reconfiguration solution and coordinating control strategy for power converters to enhance the fault ride through voltage support capabilities of doubly-fed induction generator with an energy storage device (DFIG-ESD). During grid fault, connection grid-side converter is reconfigured such that it connected rotor circuit in parallel rotor-side provide additional route current, while ESD responsible dc-link regulation. A coordinated demagnetizing reactive...
This study proposes a statistical measure and stochastic optimization model for generating risk-seeking wind power offering strategies in electricity markets.Inspired by the value at risk (VaR) to quantify risks worst-case scenarios of profit distribution, is proposed potential high profits best-case distribution，which referred as best (VaB) scenarios.Then, based on VaB developed producer, which formulated mixed-integer linear programming problem.By adjusting parameters model, producer can...
In the context of dual carbon target, this article proposes an optimal dispatch strategy for peer-to-peer (P2P) trading large-scale interconnected microgrid (MG) systems considering cost so that individual MG can minimize its operation and earn profits through active trading. A robust optimization approach is adopted to cope with uncertain renewable power outputs, adaptive uncertainty quantification–alternative direction method multipliers (AUQ–ADMM) algorithm used solve game problem MGs...
The drivetrains of many utility-scale wind turbines have a gearbox connected with doubly fed induction generator (DFIG). Since failure is major contributor to the high maintenance cost faced by industry, it important perform fault diagnosis for gearboxes. Among different methods, those using current signals collected from terminals shown their merits in terms complexity, cost, and reliability. In this paper, new method that uses DFIG stator signal turbine drivetrain nonstationary conditions...
This article presents a detailed analysis and design of high step-down converter. The proposed converter achieves voltage gain without the need extreme duty cycles by using coupled inductor. features low switch stresses, which reduces conduction loss MOSFETs. Moreover, magnetizing current inductor is zero, magnetic size. leakage energy recycled. Zero switching achieved to reduce improve EMI performance. In addition, continuous output achieved; hence, small filtering capacitor can be used. A...
Studying the influence of altitude on soil microorganisms and enzyme activity is crucial for protecting land environmental changes in karst areas. The study focused at different altitudes Luganyou area, Baise City. Multidimensional statistical analysis encompassed assessments nutrient properties, microorganisms, enzymes across these gradients. results indicate that 0-15 cm layer surpasses 15-30 layer. Catalase, urease, cellulase exhibit consistent trends both shady sunny slopes, increasing...
This paper proposes a novel direct torque control (DTC) scheme for permanent-magnet synchronous motor (PMSM) drives using relatively low sampling frequency. Unlike the conventional DTC in which single voltage vector is selected according to outputs of hysteresis controllers, proposed uses nonlinear adaptive-midpoint saturation controllers regulate and flux tracking errors determine durations multiple vectors are from new switching table. The naturally inherits most intrinsic merits DTC,...
To address the stochasticity issues of wind power generation, this article proposes an anti-disturbance full-order sliding-mode control (FOSMC) strategy for current permanent-magnet synchronous generator (PMSG)-based energy conversion systems (WECSs). An extended state observer (ESO) is designed to estimate uncertainty external disturbances and internal model parameters in real time. FOSMC PSMG. The uses a continuously controlled sliding mode solve chattering problem estimated by ESO improve...
In this paper, an unknown system dynamic estimator-based reaching law control scheme is proposed for buck converters with parameter uncertainties, input voltage fluctuations and load variations. By utilizing a first-order low-pass filter, simple estimator (USDE) only one design constructed to efficiently compensate the lumped disturbance. Then, two-phase power presented sliding mode controller design, relatively fast convergence of variable guaranteed in whole process by adjusting value...
Online collaborative learning has become a new norm for online teaching at colleges, and improving the quality of is an inevitable requirement deepening information age education. This paper establishes multiple mediating effect model based on self-regulated integration to explore influence college students’ Internet-specific epistemic beliefs academic achievement in contexts. The results survey 503 students participating group showed that contexts significantly positively predicted...
Abstract This study was conducted to determine if human growth hormone (hGH) could be produced in the milk of transgenic mice at high levels without adverse effects on and reproduction. Twenty‐four were generated carrying hGH coding sequences linked a mouse whey acidic protein (WAP) promoter. Of 17 that gave rise offspring detected four with ranging from 65 ng/ml 0.41 mg/ml. The expressing line propagated generate homozygous offspring. These expressed greater than 1 Although low serum during...
Voltage fluctuation and flicker level induced by grid-connected wind power may exceed the national standard, resulting in serious quality problems, which makes it necessary to assess these two items before connection, so as obtain proper proposal of project implementation. In this paper, voltage caused a new-developed farm connected weak system are assessed. The entire assessment is built PSCAD/EMTDC with 132 simplified DFIGs models speed based on actual measured data. fluctuations gust ramp...
Gearbox faults are a leading reliability issue in wind turbines. Generator current-based methods have been successfully used gearbox fault diagnosis and shown advantages over the traditional vibration-based techniques terms of implementation, cost, reliability. This paper proposed new generator stator diagnostic method for gearboxes doubly-fed induction (DFIG)-based turbines under varying rotating speed conditions. Hilbert transform is first to demodulate current signal, then Vold-Kalman...