A5100633347- Power Systems and Renewable Energy
- Smart Grid and Power Systems
- Genetic factors in colorectal cancer
- Microgrid Control and Optimization
- High-Voltage Power Transmission Systems
- Energy Load and Power Forecasting
- Power System Reliability and Maintenance
- HVDC Systems and Fault Protection
- Multilevel Inverters and Converters
- Power Systems and Technologies
- Power Systems Fault Detection
- Machine Fault Diagnosis Techniques
- Photovoltaic System Optimization Techniques
- Smart Grid Energy Management
- Power Quality and Harmonics
- Islanding Detection in Power Systems
- Cancer-related molecular mechanisms research
- Evaluation Methods in Various Fields
- Advanced Computational Techniques and Applications
- Power Transformer Diagnostics and Insulation
- Advanced Sensor and Control Systems
- Solar Radiation and Photovoltaics
- Advanced Decision-Making Techniques
- Integrated Energy Systems Optimization
- Silicon Carbide Semiconductor Technologies
Southeast University
2015-2024
Xi'an Medical University
2024
Air Force Medical University
2022-2024
Suzhou Research Institute
2022-2023
Shanghai University
2023
South China University of Technology
2023
Xijing Hospital
2022
Zhejiang University of Technology
2022
Southeast University
2005-2020
Suzhou Electrical Apparatus Science Academy
2012
Adding PD-1 blockade in the neoadjuvant regimens for locally advanced rectal cancer (LARC) patients with microsatellite stable (MSS) / mismatch repair-proficient (pMMR) tumors is an attractive, but debatable strategy. This phase 2, multicenter, prospective, single-arm study enrolled from 6 centers June 2021 to November 2022. Locally (LARC, cT
This paper presents an improved phase disposition pulsewidth modulation (PWM) (PDPWM) for the modular multilevel converter (MMC) which is based on selective loop bias mapping (SLBM) method. Its main idea to change of PDPWM carrier wave cycling according balance situation system. new method can operate at symmetric condition generate output voltage with as many 2N + 1 levels, and by SLBM, voltages upper/lower arm capacitors be well balanced. Compared phase-shifted PWM, this more easily...
With the rapid growth of photovoltaic (PV) power in recent years, stability system operation, performance contingency analysis as well quality grid are threatened by inherent uncertainty and fluctuation PV output. It is necessary to have knowledge output characteristics for reliable dispatching. Day-ahead forecasting an effective support achieving optimal Probabilistic can describe that difficult depict deterministic forecasting, results more comprehensive. An ensemble nonparametric...
Load forecasting is an important prerequisite and foundation for ensuring the rational planning safe operation of integrated energy systems. In view interactive coupling problem among multivariate loads, this paper constructs a TCN-GAT load model based on SHAP (Shapley Additive Explanation) value selection strategy. The uses temporal convolutional networks (TCN) to time series system, applies global attention mechanism (GAT) process output network hidden layer state, thereby increasing...
Recently, a large number of distributed photovoltaic (PV) power generations have been connected to the grid, which resulted in an increased fluctuation net load. Therefore, load forecasting has become more difficult. Considering characteristics load, ultrashort-term model based on phase space reconstruction and deep neural network (DNN) is proposed, can be divided into two steps. First, time series data performed using C-C method. Second, reconstructed fitted by DNN obtain predicted value...
With the refinement and intelligence of power system optimal dispatching, widespread adoption advanced grid applications that consider safety economy systems, massive access distributed energy resources, requirement for bus load prediction accuracy is continuously increasing. Aiming at volatility brought about by large-scale new sources, adaptability to different forecasting horizons time series characteristics load, this paper proposes a phase space reconstruction (PSR) deep belief network...
As the coupling and integration of multi-energy flow in integrated energy system (IES) deepen increasingly, cascading failure will develop across different systems more easily widely through hub (EH). And it brings great challenges to security reliability IES. The defects present model IES have been summarized, a novel search strategy fault chains combined heating power network was proposed this paper. First, initial risk assessment index each branch is form sets. Then, heat control (CHPC)...
Contingency analysis (CA) is fundamental to power system planning and operation. The compensation method linear flow (LPF) models are frequently used in CA boost efficiency. However, the conventional scheme fails adapt modern LPF with novel structures. To bridge this gap, paper proposes a generalized warm-start algorithm (GWSCA) for LPFs. efficiently calculate inversion of perturbed coefficient matrix models, decomposition devised based on inverse lemma full rank decomposition. A strategy...
Voltage sag is one of the most serious problems in power quality. The occurrence voltage will lead to a huge loss social economy and have effect on people’s daily life. identification types basis for solving problem ensuring safe grid operation. Therefore, with measured data uploaded by monitoring system, this paper proposes type algorithm based K-means-Singular Value Decomposition (K-SVD) Least Squares Support Vector Machine (LS-SVM). Firstly; each phase sample RMS sparsely coded K-SVD...
Slepian-Wolf coding is a promising distributed source technique that can completely remove the data redundancy caused by spatially correlated observations in wireless sensor networks (WSNs). In this paper, we study major problems applying for aggregation cluster-based WSNs with an objective to optimize compression so total amount of whole network minimized. We first consider clustered problem, which aims at selecting set disjoint potential clusters cover such global gain maximized. To solve...
A hybrid photovoltaic (PV) forecasting model is proposed for the ultrashort-term prediction of PV output. The contains two parts: offline modeling and online forecasting. module uses historical monitoring data to establish a weather type classification output regression submodels. real-time identification on target days irradiation intensity temperature time series. appropriate submodel can be selected based subsequent results, performed over short scale. incorporates power generation...
Voltage sag is a serious power quality phenomenon that threatens industrial manufacturing and residential electricity. A large-scale monitoring system has been established continually improved to detect record voltage events. However, the inefficient process of data sampling cannot provide valuable information early enough for governance system. Therefore, novel online recognition method sags proposed. The main contributions this paper include: 1) causes waveform characters were analyzed; 2)...
A self-supervised voltage sag source identification method based on a convolution neural network is proposed in this study. In addition, CNN (Convolutional Neural Networks) model constructed the basis of and AutoEncoder. The layer pool are used to extract characteristics, training process realized principle AE. mode, features which reflect data characteristics rather than artificial features, thus improving accuracy practical application. It unnecessary input lot correct labels before...
The high-penetrated renewables enable flexible and versatile dispatchable resources in power systems. As the digitalization process improves with help of information communication technology (ICT), a real-time online control framework is essential to regulate such low-inertia system dominated by renewables. To practices, control-oriented model developed linking load increments frequency dynamics. Based on model, predictive (MPC)–based feedback algorithm well designed virtue rapid data...
In recent years, the increasing demands for high performance integrated circuit devices have led to development of multi-die stacked technology in a single package form. The 3D (three dimension) is developing trend advanced high-density packaging, which can easily meet smaller footprint, lower profile, multi-function, power consumption and cost cell phones consumer products like digital cameras, MP4, PDA other wireless devices. Some correlative concepts been proposed this paper. Firstly,...
This paper explores the limitations of neutral-point voltage balancing problem for different loading conditions and index modulations neutral-point-clamped three-level inverters. However, modulation, which based on virtual space vector concept, that only requires addition output three-phase currents equals zero, guaranteed potential any load over full range converter all power factors. It is shortcomings those methods to estimate sectors calculating a lot trigonometric functions, results in...
As an important content of smart grid's intelligentialize, high voltage circuit breaker (HVCB) can enhance security and stability power system observably. Therefore, on-line monitoring fault diagnosis technologies develop significantly. In order to promote accuracy learning abi lity, hybrid method is proposed for HVCB in this paper, characteristics control coil current are used as modeling data. The model built by includes three modules: detection, recognition. Fault detection inspect data...