A5100694110- Materials Engineering and Processing
- Civil and Geotechnical Engineering Research
- Frequency Control in Power Systems
- Integrated Energy Systems Optimization
- Geomechanics and Mining Engineering
- Power Systems and Technologies
- Simulation and Modeling Applications
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Advanced Control Systems Optimization
- Smart Grid and Power Systems
- Innovations in Concrete and Construction Materials
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Video Surveillance and Tracking Methods
- Electric Vehicles and Infrastructure
- Bone Tissue Engineering Materials
- Control Systems and Identification
- Smart Grid Energy Management
- Geoscience and Mining Technology
- Machine Fault Diagnosis Techniques
- Iterative Learning Control Systems
- Advanced Sensor and Control Systems
- Microgrid Control and Optimization
- Electric Power System Optimization
- Additive Manufacturing and 3D Printing Technologies
North China Electric Power University
2017-2024
Jilin Vocational College of Industry and Technology
2024
Ningbo University of Technology
2022-2024
Nanjing Forestry University
2024
Beihang University
2022-2024
Beijing Institute of Technology
2024
Shanghai University of Electric Power
2023
Qinghai University
2023
Shanghai University
2023
Durham University
2022
To encourage the utilization of decentralized renewable energy systems, a data-driven-based distributionally robust optimization (DRO) model is proposed for virtual power plant (VPP) considering responsiveness electric vehicles (EVs) and ladder-type carbon trading mechanism (LT-CTM). An EV storage (EV-VES) calculation dispatchable formulated to facilitate centralized scheduling EVs, spatial–temporal distribution characteristics. Additionally, multiple kinds systems flexible loads are...
The effective fault diagnosis of the motor bearings not only can ensure smooth and efficient operation equipment but also detect eliminate running in time to prevent major accidents. Based on deep learning algorithm, this article constructs a stacked auto-encoder network. input data are compressed reduced by introducing sparsity constraint, so that network accurately extract characteristics data, recognition ability be improved random noise. simulation result shows overcome shortcomings...
To address climate change and environmental pollution, an increasing number of renewable energy source generations are connected to the grid; meanwhile, need for carbon capture pollutant reduction traditional has increased in urgency. In this study, dispatch problem integrated system (IES) is expanded considering penetration, capture, reduction. First all, detailed models pollutants reductions systems set up. Specifically, system’s characteristics, which contribute more flexibility...
Abstract This article questions the consistency of EU anti-dumping regulation with WTO Anti-dumping Agreement. It argues that expiry paragraph 15(a)(ii) on 11 December 2016, China’s Accession Protocol may no longer provide legal basis for to set aside Chinese domestic prices in determining normal value products. Moreover, given European Commission has consistently used costs are not actual producers constructing products, practice runs risk being inconsistent law since Agreement does allow...
Multi-motor synchronous drive system is increasingly widely used in industry and manufacturing, where its control structure strategy affect the quality efficiency of production. In order to solve contradiction between fastness overshoot, difficulty determining compensation law conventional PID, cross-coupling control, master-slave strategies multi-motor this paper proposes a self-coupling PID based on ring adjacent reduce complexity structure. Furthermore, analyzes parameter tuning rules...
Abstract With the development of wind power generation units towards mega-scale, blade root and tower have large load vibration problems during operation turbines. In order to extend operational life turbines, a PI independent pitch control (IPC) strategy with fuzzy adaptive tuning (FAT) is introduced based on existing turbine model achieve optimal loads. Simulations are carried out by FAST software US Renewable Energy Laboratory compare cooperative pitch. The results show that IPC reduces...
Abstract With the rapid development of renewable energy, primary frequency control (PFC) is becoming more critical and significant to ensure stability electrical power system. As main role PFC, thermal unit tends in a wide operation interval, changes PFC characteristics along with working conditions are inevitable. By decomposing quantifying dynamic energy conversion process, this paper proposes novel mechanism evaluate capability for supercritical plants that covered 30%–100% rated load. In...
In the era of digital information, social development requires an increasing demand for various types sensors, especially flexible electronic which are capable sensing external environmental stimuli and transducing to electrical signals analysis processing. The diverse output present challenges widespread applications, need develop a universal wireless monitoring framework adapt multiple sensors. this work, we developed multimodal sensor monitor system with measurement accuracy comparable...
ABSTRACT The organic Rankine cycle (ORC) serves as an effective means of converting low‐grade heat sources into power, playing a pivotal role in environmentally friendly production and energy recovery. However, the inherent complexity, strong unidentified nonlinearity, control constraints pose significant challenges to designing optimal controller for ORC systems. To address these issues, this research introduces novel modeling framework Leveraging attention mechanism‐based long short‐term...
The presence of sets incomplete measurements is a significant issue in the real‐world application multivariate statistical process monitoring models for industrial fault detection. Since missing data are usually correlated with some available variables, these can be used if an efficient algorithm presented. To resolve problem, novel method combining Markov chain model and generalized projection nonnegative matrix factorization (MCM‐GPNMF) proposed to detect diagnose faults process. basic...
With the development of big data technology, tracking and monitoring specific objectives often require mutual corroboration supplementation from multiple sources. However, due to constraints such as geographical environment, equipment, target attributes, some source information may be inadequately sampled incomplete, leading incompleteness. This incompleteness results in significant disparities between computed real operational scenarios theoretical expectations. In response variation...