A5107226498- Microgrid Control and Optimization
- Wind Energy Research and Development
- Frequency Control in Power Systems
- Hybrid Renewable Energy Systems
- Magnetic Bearings and Levitation Dynamics
- Machine Fault Diagnosis Techniques
- Bone Tissue Engineering Materials
- Shoulder and Clavicle Injuries
- Advanced Sensor and Energy Harvesting Materials
- Conducting polymers and applications
- Perovskite Materials and Applications
- Analytical Chemistry and Sensors
- Adaptive Dynamic Programming Control
- Trauma Management and Diagnosis
- Pelvic and Acetabular Injuries
- Energy Harvesting in Wireless Networks
- Calcium Carbonate Crystallization and Inhibition
- TiO2 Photocatalysis and Solar Cells
- Electromagnetic wave absorption materials
- Advanced Chemical Sensor Technologies
- Gas Sensing Nanomaterials and Sensors
- Power System Optimization and Stability
- Wind Turbine Control Systems
- Advanced Antenna and Metasurface Technologies
- Electrospun Nanofibers in Biomedical Applications
Xi'an University of Technology
2012-2024
Xi’an University
2012-2024
Florida Atlantic University
2020
University of Rhode Island
2013-2014
Resonance-activated KNbO 3 nanofibers have significant strain-induced piezoelectric potential, facilitating the conversion of mechanical to chemical energy. The presence resonance-enhanced mechanism can reduce requirement for ultrasonic power input.
Due to the nonlinearity, uncertainty and complexity of power system, it is a challenging task design an effective control approach based on exact model using traditional methods. In this paper, we investigate application novel approximate dynamic programming (ADP) architecture, goal representation heuristic (GrHDP), large benchmark system. Unlike ADP with action network critic network, GrHDP integrates third into actorcritic (ACD) automatically adaptively build internal reinforcement signal...
With increasing intermittent and fluctuant wind power integrated into the system, high penetration of generation has brought a series challenges including voltage stability for safe operation system. Static VAR Compensator (SVC) been widely used to control on point common coupling (PCC) farm. When severe fault occurs leads serious drop in SVC controlled by conventional method may cause overshoot after clearance due its response time lag. And this PCC lead failure ride through. In order solve...
<div>Marine hydrokinetic (MHK) turbines extract renewable energy from oceanic environments. However, due to the harsh conditions that these operate in, system performance naturally degrades over time. Thus, ensuring efficient condition-based maintenance is imperative towards guaranteeing reliable operation and reduced costs for hydroelectric power. </div><div>This paper proposes a novel framework aimed at identifying classifying severity of rotor blade pitch imbalance...
<div>Marine hydrokinetic (MHK) turbines extract renewable energy from oceanic environments. However, due to the harsh conditions that these operate in, system performance naturally degrades over time. Thus, ensuring efficient condition-based maintenance is imperative towards guaranteeing reliable operation and reduced costs for hydroelectric power. </div><div>This paper proposes a novel framework aimed at identifying classifying severity of rotor blade pitch imbalance...
This paper presents a novel spatiotemporal optimization approach for maximizing the output power of an ocean current turbine (OCT) under uncertain velocities. In order to determine power, velocities and consumed generated by OCT system are modeled. The stochastic behavior is function time location, which modeled as Gaussian process. composed three parts, including maintaining at operating depth, changing water depth reach maximum power. Two different algorithms, model predictive control...
This paper presents a novel spatiotemporal optimization approach for maximizing the output power of an ocean current turbine (OCT) under uncertain velocities. In order to determine power, velocities and consumed generated by OCT system are modeled. The stochastic behavior is function time location, which modeled as Gaussian process. composed three parts, including maintaining at operating depth, changing water depth reach maximum power. Two different algorithms, model predictive control...
This paper presents a novel spatiotemporal optimization approach for maximizing the output power of an ocean current turbine (OCT) under uncertain velocities. In order to determine power, velocities and consumed generated by OCT system are modeled. The stochastic behavior is function time location, which modeled as Gaussian process. composed three parts, including maintaining at operating depth, changing water depth reach maximum power. Two different algorithms, model predictive control...
This paper presents an integrated path planning and tracking control of marine hydrokinetic energy harvesting devices. To address the highly nonlinear uncertain oceanic environment, planner is designed based on a reinforcement learning (RL) approach by fully exploring historical ocean current profiles. The will search for to optimize chosen cost criterion, such as maximizing total harvested given time. Model predictive (MPC) then utilized design optimal command from subject problem...