A5078351785- Smart Grid Security and Resilience
- Network Security and Intrusion Detection
- Power Systems and Renewable Energy
- Power System Optimization and Stability
- Microgrid Control and Optimization
- Smart Grid and Power Systems
- Indoor and Outdoor Localization Technologies
- Energy Load and Power Forecasting
- Power Systems Fault Detection
- Robotics and Sensor-Based Localization
- Advanced Battery Technologies Research
- Fault Detection and Control Systems
- Robotic Path Planning Algorithms
- Underwater Vehicles and Communication Systems
- High-Voltage Power Transmission Systems
- Optimal Power Flow Distribution
- Photovoltaic System Optimization Techniques
- Electricity Theft Detection Techniques
- Electrostatic Discharge in Electronics
- Myasthenia Gravis and Thymoma
- Internet Traffic Analysis and Secure E-voting
- solar cell performance optimization
- Sensorless Control of Electric Motors
- COVID-19 diagnosis using AI
- Evaluation Methods in Various Fields
Anhui Polytechnic University
2011-2024
Ministry of Education of the People's Republic of China
2019-2024
Jiangxi Provincial People's Hospital
2019
Nanchang University
2019
Jiangnan University
2010-2018
Electronic Navigation Research Institute
2018
Abstract The power conversion efficiency of most thin film solar cells is compromised by competing optical and electronic constraints, wherein a cell must be thick enough to collect light yet efficiently extract current. Here, we introduce nanoscale architecture inspired well‐known radio technology concept, the coaxial cable, that naturally resolves this “thick–thin” conundrum. Optically elec‐ tronically amorphous silicon “nanocoax” are in range 8% efficiency, higher than any nanostructured...
Power system state estimation is an essential component of the modern power energy management (EMS), and accurate indispensable basis for subsequent work. However, attacker can inject biases into measurements to launch false data injection attacks (FDIAs) in smart grids, which ultimately cause estimates deviate from security values. This paper proposed joint use static dynamic detect FDIA, i.e. weighted least squares (WLS) extended Kalman filter (EKF) with exponential weighting function...
In a practical multichannel magnetocardiography (MCG) system based on superconducting quantum interference device (SQUID) magnetometers, the Tesla/Volt coefficient must be precisely calibrated for accurate analysis of heart diseases. this article, we utilize biplanar coil to calibrate SQUID magnetometers in an MCG first time. The design theory is discussed detail, including target-field and Tikhonov regularization method. Also, winding patterns can obtained after discretization stream...
The smart grid is built on an integrated and high-speed communication network, which renders it more vulnerable to cyber-attacks. False data injection attacks (FDIAs) sudden load changes (SLCs) can bias state estimation (SE), causing the system make incorrect decisions or provide outputs. For this reason, article proposes a novel outlier detection correction strategy. To detect outliers, we propose extended Kalman filter (EKF) based forecast-assisted SE (FASE) generate estimations. By...
The secure operation of smart grids is closely linked to state estimates that accurately reflect the physical characteristics grid. However, well-designed false data injection attacks (FDIAs) can manipulate process estimation by injecting malicious into measurement while bypassing detection security system, ultimately causing results deviate from values. Since FDIAs tampering with some buses will lead error offset, this paper proposes an attack-detection algorithm based on statistical...
This paper introduces a novel hybrid filtering algorithm that leverages the advantages of Phasor Measurement Units (PMU) to address state estimation challenges in power systems. The primary objective is integrate benefits PMU measurements into design traditional system dynamic estimators. It noteworthy PMUs and Supervisory Control Data Acquisition (SCADA) systems typically operate at different sampling rates estimation, necessitating synchronization during process. To this issue, employs...
According to the characteristic analysis of LiFePO4 Li-ion battery, and aiming at real-time identification model parameter, battery was established based on PNGV. The PNGV parameter achieved by fading memory delivery recursive least squares. simulation results show that this method could identify parameters more effectively reduce error because squares data saturation. It provide some useful reference for improving accuracy SOC estimation.
When the ampere-hour integral method estimates battery SOC, initial value of SOC in definition is difficult to determine and cumulative error caused by open-loop operation often makes estimation result inaccurate, which not conducive driver’s judgment actual remaining power, safety Adverse effects are coming. This paper uses open circuit voltage modify studying characteristics SOC-OCV curve. And using partial correlation coefficient add different weights factors that affect capacity battery,...
This paper analyzes the problems and reasons of high frequency chattering, phase delay, unmanageable with low-speed rotation in traditional SMO control strategy sensor-less a permanent magnet synchronous motor based on sliding mode observer. Aiming at shortcomings above-mentioned strategy, an improved is presented by replacing signum function synovial observer sigmoid to reduce chattering system. Meanwhile, proposed introduces adaptive filter eliminate harmonics adaptively compensates...
An accurate power state is the basis of normal functioning smart grid. However, false data injection attacks (FDIAs) take advantage vulnerability in bad detection mechanism system to manipulate process estimation. By attacking measurements, then affecting estimated state, FDIAs have become a serious hidden danger that affects security and stable operation system. To address vulnerability, this paper, attack method based on weighted least squares (WLS) an adaptive interpolation extended...
On the background of constructing smart energy city, solar photovoltaic based microgrid (PV-MG) will play an important role. In this paper, a typical structure PV-MG, which is consisted PV power generation system, battery storage system (BESS), fixed loads (FLs), and transferable (TLs), constructed firstly. Then in order to improve economy PV-MG's operation, influence demand response (DR) studied during dealing with optimization dispatch problem multi-objective model various equality...
The Phasor Measurement Unit (PMU) with a GPS signal receiver is synchronized sensor widely used for power system state estimation. While the ensures time accuracy, it vulnerable to network attacks. spoofing attacks can alter phase angle of PMU measurement signals and manipulate states. This paper derives model based on PMUs under attacks, according characteristics changes in bus voltages branch currents after GSA. Based this model, detection correction algorithm attacked data proposed detect...
A kind of backstepping sliding mode control method is presented for the nonlinear, uncertainty and strong interference manipulator system via nonlinear disturbance observer. Firstly, combining algorithms with technique, a position tracking controller developed. Secondly, observer designed existed in system, which can compensate controller. Stability analysis closed loop given by Lyapunov stability theorem. Finally, simulation results are respectively. The comparison shows that improves...
Real-time information about vehicle mass and road grade is important for handling stability control. This paper establishes the longitudinal kinematics model of vehicles, using recursive least squares method with adaptive forgetting factors extended Kalman filter algorithm to estimate respectively. The experimental results indicate that can well without adding sensors, convergence steady-state error meet requirements actual control system.
Outliers can be generated in the power system due to aging equipment, faulty sensors, incorrect line connections, etc. The existence of these outliers will pose a threat safe operation system, reduce quality data, affect completeness and accuracy thus monitoring analysis control system. Therefore, timely identification treatment are essential ensure stable reliable In this paper, we consider problem detecting localizing systems. paper proposes Minorization-Maximization (MM) algorithm for...
In underwater acoustic (UWA) communication systems, inter-carrier interference (ICI) caused by the Doppler effect has significant negative impacts on system performance. To address this issue, paper introduces a delay-Doppler spread function (DDSF) to account for of ICI and proposes new compressed sensing (CS) algorithm estimate channels. Typically, proper termination iterative process is major challenge when applying orthogonal matching pursuit (OMP) algorithms in channel estimation, while...
State estimation plays a central role in ensuring the secure operation of smart grid. However, deliberately designed false data injection attacks (FDIAs) can pass by conventional detections to manipulate process state injecting malicious into measurements. Ultimately, FDIAs make result deviate from value and affect security stable power system. In this paper, we consider different distribution characteristics between normal measurements build Gaussian mixture model (GMM). Particularly, focus...
The treatment options for Masaoka stage III thymic epithelial tumors are diverse, mainly because the lesions infiltrate neighboring organs, major vascular structures, with different scopes, extents, and manners. Surgical is main patient in this stage. However, minimally invasive or open surgery, current controversy remains large. This study aimed to investigate feasibility indications of resection tumors.Twenty-six patients who underwent surgery were enrolled study. Among them, group A 8...
Abstract False data injection attacks (FDIAs) cause incorrect system states by tampering with measurements, seriously affecting the EMS’s control process. However, well-designed FDIAs can bypass traditional bad detection (BDD) mechanisms. Aiming at challenge, we improve unscented Kalman filter and combine AIUKF weighted least squares (WLS) to detect FDIAs. Utilizing different convergence rates of two estimators, cosine similarity is introduced for FDIA detection. Various test conditions in...