A5091707685- Microgrid Control and Optimization
- Power Systems and Renewable Energy
- Energy Load and Power Forecasting
- Islanding Detection in Power Systems
- Smart Grid Energy Management
- Electric Vehicles and Infrastructure
- Wind Turbine Control Systems
- Power Quality and Harmonics
- Advanced Battery Technologies Research
- Integrated Energy Systems Optimization
- Optimal Power Flow Distribution
- Frequency Control in Power Systems
- High-Voltage Power Transmission Systems
- Sensorless Control of Electric Motors
- Fault Detection and Control Systems
- Electric Motor Design and Analysis
- Multilevel Inverters and Converters
- Advanced DC-DC Converters
- Elevator Systems and Control
- Power System Optimization and Stability
- Magnetic Bearings and Levitation Dynamics
- Advancements in PLL and VCO Technologies
- Odor and Emission Control Technologies
- Machine Fault Diagnosis Techniques
- Injection Molding Process and Properties
First Affiliated Hospital of Zhengzhou University
2020-2025
Shenyang University of Technology
2017-2024
Henan Agricultural University
2023
Harbin Institute of Technology
2021-2023
New York University
2022
Wuhan University of Technology
2019-2021
China Construction Bank
2021
Northeastern University
2011-2017
Carnegie Mellon University
2015
Beijing Jiaotong University
2013
Abstract Objectives To evaluate the incidence and mortality of acute respiratory distress syndrome (ARDS) in medical/respiratory intensive care units (MICUs/RICUs) to assess ventilation management use adjunct therapy routine clinical practice for patients fulfilling Berlin definition ARDS mainland China. Methods This was a multicentre prospective longitudinal study. Patients who met were included. Baseline data on ventilator collected. Results Of 18,793 admitted participating ICUs during...
With the increasing penetration of electric vehicles (EVs), orderly charging–discharging (C–D) strategy EVs can effectively alleviate impact large-scale grid-connected EVs. However, schedule C–D system EV clusters encounters curse dimensionality problem. In addition, performance control faces great challenges environmental uncertainty user demand and electricity price. This paper proposes an cluster scheduling considering real-time prices based on deep reinforcement learning. Firstly, we...
Synchronous reference frame phase locked loop (SRF-PLL) is widely used for grid synchronization and control in grid-connected applications. A major problem with SRF-PLL how to improve its dynamic performance filtering capability under complex conditions such as unbalance, distortion, dc offset mixing without affecting tracking stability. In order achieve this goal, a novel second-order generalized integrator (NSOGI) modified NSOGI (MNSOGI) rejection based on are proposed, then, an effective...
The rapid development of electric vehicles (EVs) makes the load vehicle charging stations (EVCSs) affect power grid. Aiming at low accuracy station forecasting caused by number EVs, temperature and electricity price, other factors, this paper proposes a method EVCSs based on combination multivariable residual correction grey model (EMGM) long short-term memory (LSTM) network. Firstly, influencing factors are analysed, theory is introduced into forecast EVCSs. role EMGM in taking account...
Acute lung injury (ALI) is a severe condition with multifaceted causes, including inflammation and oxidative stress. This research investigates the influence of m6A (N6-methyladenosine) modification on GBP4, protein pivotal for macrophage polarization, critical immune response in ALI. Utilizing mouse model to induce ALI, study analyzed GBP4 expression alveolar macrophages. By overexpressing or knocking down assessed its impact M1 polarization. The role YTHDF1 was also explored through...
The synchronous reference frame phase-locked loop (SRF-PLL) is widely used for synchronization applications. However, it suffers from a poor performance under unbalanced and distorted grid conditions. To improve the filtering capability of SRF-PLL, moving average filter (MAF) incorporated into its control at cost slow transient response PLL in recently published literature. further their dynamic without compromising disturbance rejection stability, novel based on quasi-type-1 structure...
DC microgrids (MGs) are complex systems connecting a number of renewable energy sources to different types loads based on distributed networks. However, the strong reliance communication networks makes MGs vulnerable intentional cyber-attacks. In this paper, attack detection scheme is presented for MG system by proposing an observer. The proposed detector able detect attacks with only local knowledge overall microgrid system. By eigenvalue assignment method, designed residual decoupled from...
In order to reduce the pollution caused by coal-fired generating units during heating season, and promote wind power accommodation, an electrical thermal system dispatch model based on combined heat (CHP) with energy storage (TES) demand response (DR) is proposed. this model, emission cost of CO2, SO2, NOx, operation desulfurization denitrification considered as environmental cost, which will increase proportion fuel in economic model. Meanwhile, units, investment storage, incentive DR,...
To handle the multiple-objective problem including carbon emission reduction and economic operation of integrated energy system (IES), this paper proposes an optimal scheduling model for IES considering combined weights low-carbon operation. In dispatch IES, we mainly use cold heat power (CCHP) to optimize distribution, charge discharge electric vehicles (EVs) enhance regulation capability CCHP. Furthermore, aiming at lowest dioxide cost, highest renewable accommodation, a multi-objective...
Fault diagnosis for blast furnace is actually a multi-class classification problem because the may appear usually many kinds of abnormal states. Moreover, those states should be monitored and diagnosed timely what can help workers take effective measures. Support vector machine (SVM) state-of-the-art problems currently. But tasks involve imbalanced training examples in practice. Imbalanced dataset learning an important practical issue learning, especially support (SVM). such data problem. A...
In this paper, we demonstrate three key features of oxide-based nano-oscillators: 1) the observation threshold switching and filamentary oscillations in TaO x ; 2) highest frequency achieved by oscillators; 3) a study with linear (resistor) nonlinear (transistor) ballasts to clearly understand role filament dynamics scaling. These oscillators show tunability over range 20 kHz–250 MHz, 250 MHz being reported for class oscillators. Different types using two distinct methods: tuning channel...
For three‐phase power system, the synchronous reference frame (SRF) phase‐locked loop (PLL) is probably most widely used synchronisation technique under ideal grid condition. However, presence of dc‐offset causes fundamental frequency oscillations errors in estimated phase. To deal with this problem, delay signal cancellation (DSC) operator utilised SRF‐PLL recent published literature at cost slowing down dynamic behaviour. The aim to propose a rapid rejection method PLL for synchronisation....
The conventional approach to designing controllers for the phase-shifted full-bridge (PSFB) converter is design a linear compensator based on small-signal model, which cannot provide with strong robustness against parametric disturbances and consistent transient responses over wide range of operating conditions. This paper proposed fixed frequency pulse-width-modulation (PWM)-based integrated sliding mode (ISM) controller PSFB converter. By analyzing modulation full bridge, dynamic...
Traveling-wave-based fault location methods are widely used for modern power systems owing to their high accuracy on two-terminal lines. However, they perform poorly hybrid multi-terminal Many traveling-wave-based have been developed recently solve this problem, but computational burdens and complex procedures. To tackle challenge, a new method is presented in paper. First, ensure that the implementation of proposed not affected by different line parameters, normalization algorithm lines,...
In most grid-connected power converter applications, the phase-locked loop (PLL) is probably widespread grid synchronization technique, owing to its simple implementation. However, phase-tracking performance tends worsen when voltage under unbalanced and distorted conditions. Many filtering techniques are utilized solve this problem, however, at cost of slowing down transient response. It a major challenge for PLL achieve satisfactory dynamic without degrading capability. To tackle...
This paper concerns a novel data-based policy iteration control method for discrete-time systems with disturbances. To avoid the need of system dynamic and state, new equation is constructed by using operation data. Based on this, we derive Bellman that can be applied to design model-free algorithm. For disturbances, transform <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_\infty $...
The active vector effects on torque and flux linkage are different in interior permanent magnet synchronous motor (IPMSM) systems at times under direct control (DTC). These may cause overcompensation or undercompensation to leading large ripples the IPMSM DTC systems. A novel duty ratio modulation strategy for is presented, which considers these differences that ignored conventional strategies. proposed aims minimizing ripple ripple, makes sure system can work an optimum state. angle, impact...
Abstract Recently, the fault diagnosis of rotating machinery based on deep learning has achieved increasingly widespread applications. However, it is often difficult to achieve expected results by relying a single sensor due limited information obtained and susceptibility influence additive noise. To address above problems, this paper proposes multi-sensor fusion method for improved fuzzy support self-normalized spatio-temporal network enhance feature while achieving data fusion. This...
Abstract Traditionally, most fault diagnosis work on rotating machinery is carried out single sensor datasets. However, the feature source may suffer from missing or inaccurate features, which especially sluggish for tasks under noise interference. Feature-level fusion of multi-sensor information can obtain more comprehensive and abundant information, while improving discrimination. Therefore, through feature-level a parallel multi-scale attentional convolutional neural network (PMSACNN)...
Frequency stability in an isolated grid can be easily impacted by sudden load or wind speed changes. Many frequency regulation techniques are utilized to solve this problem. However, there only few studies designing torque compensation controllers based on power performances different Speed Parts. It is a major challenge for turbine generator (WTG) achieve the satisfactory performance To tackle challenge, paper proposes gain scheduled strategy permanent magnet synchronous (PMSG) turbines....
In the collection and transmission of power big data, problem data missing exists. response to this problem, paper proposes a detection repair method based on SOM-LSTM. Firstly, large amount collected is analyzed type determined. Then, SOM used classify data. The LSTM trained according characteristic values different users complete types Finally, analysis actual in some regional loads China. Experimental results show that, compared with extreme learning machine (ELM) LSTM, proposed SOM-LSTM...