A5058363207- Power System Optimization and Stability
- HVDC Systems and Fault Protection
- Power Systems and Renewable Energy
- Smart Grid and Power Systems
- Optimal Power Flow Distribution
- Power Systems and Technologies
- High-Voltage Power Transmission Systems
- Power System Reliability and Maintenance
- Microgrid Control and Optimization
- Power Systems Fault Detection
- Electric Power System Optimization
- Advanced Thermoelectric Materials and Devices
- Energy Load and Power Forecasting
- Wind Turbine Control Systems
- Islanding Detection in Power Systems
- Smart Grid Security and Resilience
- Real-time simulation and control systems
- Smart Grid Energy Management
- Integrated Energy Systems Optimization
- Thermal Radiation and Cooling Technologies
- Anomaly Detection Techniques and Applications
- Computational Physics and Python Applications
- Multilevel Inverters and Converters
- Virology and Viral Diseases
- Frequency Control in Power Systems
Shandong University
2016-2025
Shanghai Dianji University
2025
Wuhan University of Technology
2022-2024
Beijing Forestry University
2024
State Forestry and Grassland Administration
2024
Peking University
2023-2024
Nanjing University of Science and Technology
2024
St. Jude Children's Research Hospital
2024
Southwest University of Science and Technology
2010-2023
Zhejiang Wanli University
2010-2023
While lightweight ViT framework has made tremendous progress in image super-resolution, its uni-dimensional self-attention modeling, as well homogeneous aggregation scheme, limit effective receptive field (ERF) to include more comprehensive interactions from both spatial and channel dimensions. To tackle these drawbacks, this work proposes two enhanced components under a new Omni-SR architecture. First, an Omni Self-Attention (OSA) block is proposed based on dense interaction principle,...
Abstract Serologic and molecular evidence indicates that peste des petits ruminants virus (PPRV) infection has emerged in goats sheep the Ngari region of southwestern Tibet, People's Republic China. Phylogenetic analysis confirms PPRV strain from Tibet is classified as lineage 4 closely related to viruses currently circulating neighboring countries southern Asia.
Frequency drop due to loss of massive generation is a threat power system frequency stability. Under-frequency load shedding (UFLS) the principal measure prevent successive declination and blackouts. Based on traditional stage-by-stage UFLS scheme, new continuous scheme proposed in this paper shed loads proportional deviation. The characteristic analyzed with closed-form solution dynamics. threshold time delay are added make practical. A line-by-line based precise control introduced...
Abstract Human adipose‐derived stem cells (ASCs) have a potential for the treatment of peripheral nerve injury. Recent studies demonstrated that can mediate therapeutic effect by secreting exosomes. We aimed to investigate human ASCs derived exosomes (ASC‐Exos) on regeneration in vitro and vivo. Our results showed after being internalized Schwann (SCs), ASC‐Exos significantly promoted SC proliferation, migration, myelination, secretion neurotrophic factors upregulating corresponding genes...
To mitigate forced oscillation and avoid confusion with modal oscillation, fundamentals of in multimachine power system are investigated. First, the explicit formulation is formulated terms disturbances mode shapes. Then, amplitude, components envelope intensively studied. Consequently, measures for mitigating obtained. Forced can also be effectively detected discriminated from by utilizing its uniqueness properties Study results 10-machine 39-bus New England test a real-life demonstrate...
Emergency control is an important measure for prevention of power system blackouts. This paper presents a new event-driven emergency load-shedding scheme that minimizes load shedding while meeting constraints on transient angle stability, voltage/frequency deviation security, and availability to be shed at any bus. The evaluation these based time domain trajectories provided by numerical simulations. optimal (OEDLS) model was created minimize the total cost. By analyzing characteristics...
This paper proposes a new decentralized restoration scheme in order to realize efficient coordinated of the coupled transmission and distribution (TS-DS) system. First, considering separated operation TS operator (TSO) DS operators (DSOs) avoid TSO data processing burden, TS-DS system is divided into several subsystems according their physical connection. Then, implement independent but decision-making subsystems, framework constructed by model decoupling iterative interaction between DS....
Abstract As the core components of fifth‐generation (5G) communication technology, optical modules should be consistently miniaturized in size while improving their level integration. This inevitably leads to a dramatic spike power consumption and consequent increase heat flow density when operating confined space. To ensure successful start‐up operation 5G modules, active cooling precise temperature control via Peltier effect space is essential yet challenging. In this work, p‐type Bi 0.5...
A coordinated voltage regulation method based on model predictive control (MPC) is proposed in this paper for utilizing wind farms (WF) as black-start (BS) source to start up a thermal generating unit. The reactive power devices with different dynamic response characteristics including turbine generators (WTGs), energy storage system (ESS), and static var generator (SVG) are by the MPC handle disturbances caused ancillary machine during BS process. sharing between WTGs optimized maximize...
Generator start-up is a pivotal step of transmission system self-healing after large-scale blackouts. Considering the uncertainty initial power situation blackouts and line restoration during restoration, an online generator algorithm based on Monte Carlo tree search (MCTS) sparse autoencoder (SAE) proposed for real-time decision making. First, support efficiency indicator involving total generation capability number restored lines are proposed. Then, SAE deployed to learn data relevant...
DC short-circuit current calculation for the modular multilevel converter based multi-terminal direct (MMC-MTDC) grid is critical and fundamental in equipment selection protection setting. The existing MTDC methods suffer from low efficiency, poor adaptability, inflexibility. To address these issues, this paper proposes an efficient general companion circuit-based method to estimate currents of asymmetric bipolar grids. First, MMC equivalent RLC series circuit parallel with a time-dependent...
Abstract Background Mesenchymal stem cells including adipose-derived (ASCs) have a considerable potential in the field of translational medicine. Unfortunately, multiple factors (e.g., older age, co-existing diabetes, and obesity) may impair cellular function, which hinders overall effectiveness autologous cell therapy. Noncoding RNAs—including microRNAs (miRNAs), long ncRNAs (lncRNAs), circular RNAs (circRNAs)—have been shown to play important roles biology. However, diabetes-related...
The arrival of surgical robots in high-end medical equipment is a landmark, and the realization tactile sensation major challenge this important cutting-edge research field. Aiming to address issue, we present ultra-sensitive ionic electronic skin form flexible capacitive pressure sensors, which incorporate multistage bionic microstructures ion gels for purpose monitoring delicate operations robots. Significantly, exhibits an ultra-high sensitivity 9484.3 kPa-1 (<15 kPa), remains higher than...
Wearable thermoelectric generators (w-TEGs) convert thermal energy into electrical to realize self-powering of intelligent electronic devices, thus reducing the burden battery replacement and charging, improving usage time efficiency devices. Through finite element simulation, this study successfully designed high-performance generator made it wearable module by adopting “rigid device—flexible connection” method. It was found that higher convective heat transfer coefficient (h) on cold-end...
We develop a generalized 3D shape generation prior model, tailored for multiple tasks including unconditional generation, point cloud completion, and cross-modality etc. On one hand, to precisely capture local fine detailed information, vector quantized variational autoencoder (VQ-VAE) is utilized index geometry from compactly learned code-book based on broad set of task training data. the other discrete diffusion generator introduced model inherent structural dependencies among different...
Pre-fault dynamic security assessment (DSA) of power systems needs to consider different fault locations. Existing data-driven DSA methods lack generalizable location features, failing accurately assess unlearned locations, i.e., locations not in the training set. To address this issue, paper proposes a continuous feature representation method based on electrical distance, aiming construct pre-fault model Firstly, is represented continuously as an coordinate with distance preselected...