A5101775017- Power Systems and Renewable Energy
- HVDC Systems and Fault Protection
- Microgrid Control and Optimization
- Wind Turbine Control Systems
- High-Voltage Power Transmission Systems
- Integrated Energy Systems Optimization
- Energy Load and Power Forecasting
- Electric Power System Optimization
- Power Systems and Technologies
- Smart Grid and Power Systems
- Wind Energy Research and Development
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Advanced DC-DC Converters
- Real-time simulation and control systems
- Multilevel Inverters and Converters
- Power System Reliability and Maintenance
- Islanding Detection in Power Systems
- Microstructure and Mechanical Properties of Steels
- Remote Sensing and LiDAR Applications
- Vibration and Dynamic Analysis
- Silicon Carbide Semiconductor Technologies
- Structural Behavior of Reinforced Concrete
- Ideological and Political Education
- Power System Optimization and Stability
South China Agricultural University
2002-2025
China Electric Power Research Institute
2015-2024
North China Electric Power University
2015-2024
North China University of Technology
2024
Zhejiang University of Technology
2023-2024
Northeastern University
2023-2024
State Grid Corporation of China (China)
2021-2024
Northwest Normal University
2016-2024
Fujian Polytechnic of Information Technology
2023
National Cheng Kung University
2022-2023
Large-scale pre-training and instruction tuning have been successful at creating general-purpose language models with broad competence. However, building vision-language is challenging due to the rich input distributions task diversity resulting from additional visual input. Although pretraining has widely studied, remains under-explored. In this paper, we conduct a systematic comprehensive study on based pretrained BLIP-2 models. We gather 26 publicly available datasets, covering wide...
The uncertain nature of wind power causes difficulties in system operation scheduling. Probabilistic descriptions the uncertainty have been studied for decades. However, probabilistic forecasts designed regional multiple farms are few. Although traditional methods single farm can still be used, they limitations capturing spatial correlations among farms, and less robust when multivariate observations not so complete. To improve forecast quality this case, we combine distribution modeling...
Regardless of the rapid development wind power capacity installation around world, curtailment is a severe problem to be solved. Wind can cause abundant outliers and change original characteristics operation data in farms. Power curve cannot accurately modeled with these consequently forecasting as well other applications system will negatively affected. In this paper, caused by are analyzed. Then, data-driven outlier elimination approach combining quartile method density-based clustering...
Instability issues of the grid-connected doubly fed induction generator (DFIG) based wind turbines (WTs) during low-voltage ride-through (LVRT) have got little attention yet. In this paper, small-signal behavior DFIG WTs attached to weak ac grid with high impedances period LVRT is investigated, special paid rotor-side converter. First, on studied strategy, influence high-impedance summarized as interaction between phase-looked loop (PLL) and rotor current controller (RCC). As modal analysis...
In this paper, two power forecasting methods for PV systems, physical method and statistical method, are studied. A model based on the construction of systems a NN historical data set up. The impacts accuracy input data, such as solar irradiance, air temperature, cloud, humidity sun position, these models presented. Best founded methods. Finally, comparison performance is investigated by case study 1MW station. nRMSE over one month very close, i.e. around 10%-13%. seasons Moreover,...
Virtual power plant (VPP) provides a flexible solution to distributed energy resources integration by aggregating renewable generation units, conventional plants, storages, and demands. This paper proposes novel stochastic adaptive robust optimization (SARO) model for determining the optimal self-scheduling plan VPP's participation in day-ahead energy-reserve market. We consider exogenous uncertainties (or called decision-independent uncertainties, DIUs) associated with market clearing...
Renewable energy transmission by high-voltage direct current (HVDC) has attracted increasing attention for the development and utilization of large-scale renewable under Carbon Peak Neutrality Strategy in China. High-penetration power electronic systems (HPPESs) have gradually formed at sending end HVDC transmission. The operation such undergone profound changes compared with traditional dominated synchronous generators. New stability issues, as broadband oscillation transient over-voltage,...
Given the inadequacy of assessed outcomes (e.g., final exam) and importance evaluating learning process in STEM education, we use deep to develop behavior analysis system (SLBAS) assess learners education. We map learner ICAP (interactive, constructive, active, passive) framework, helping instructors better understand learners. The results show that SLBAS exhibits high accuracy. Moreover, Cohen’s kappa coefficient between expert coding is enough support replacing observation method with...
In this paper, a new modulation method is proposed for Z-source three-level T-type inverter (3LT <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> I). The 3LT I combines the merits of two-level and advantages neutral-point-clamped inverter. Although previous literature has proved that space vector (SVM) technique produces desired voltage transfer gain with minimized switching loss, it cannot deal neutral-point (NP) potential balance issue....
The composition, morphology, number, area, size and average distance of inclusions in Fe–23Mn–xAl–0.7C steels were evaluated through an inclusion automatic analysis system (INCA Feature). According to their composition six types are classified the present steels: MnS(Se), AlN, Al2O3, AlN–MnS(Se), Al2O3–MnS(Se), other (i.e. Al2O3–AlN MgO–Al2O3). Thermodynamic calculation results show that AlN formed molten steel with Al contents 3.28 6.76 wt-%. Irregularly shaped MnS(Se) precipitate during...
Distributed model predictive control is an effective method to realize the power system load frequency (LFC). However, stability of multi-area becomes quite challenging with incorporating high wind penetration, as it brings strong uncertainties. This article proposes a tube-based distributed (DMPC) for LFC interconnected system. In scheme, penetrated taken independent generation area, in which virtual inertia incorporated enhancing response. The turbines are operated under de-load mode...
In some regional grids in China, wind power penetration will increase rapidly because of the abundant resources those areas and government policy impetus. However, system security stability may be affected due to higher penetration. Because majority farms with installed capacity intends connected into transmission network 220 kV voltage level, their impacts are becoming more widespread. grid impact studies integration, is mostly concerned problem that affect operation grid. this paper,...
To fulfill the Chinese government's targets for energy conservation and emission reductions, significant efforts to increase efficiency reduce emissions in system have been made by developing combined heat power plants, expanding transmission, incorporating renewables. These elements are not always compatible with each other, however. Renewables particular face difficulties being integrated into system, a portion of this generation is often curtailed, from wind. This article describes work...
China is a land with abundant wind resources. According to the latest official release of national energy resource assessment results, 50-m-high potential amounts about 2,580 GW, which 2,380 GW onshore and 200 offshore in 5-25-m range water depth. The areas suitable for developing large-scale power include Northeast, Northwest, North China, as well coastal provinces Jiangsu Shandong, where accounts 80% whole country, shown Figure 1. (This article does not contain data information Hong Kong...
Owing to the uncertainty and volatility of wind energy, forecasted power scenarios with proper spatio-temporal correlations are needed in various decision-making problems involving systems. In this study, generated from an estimated multi-variate distribution multiple regional farms. According theory copulas, marginal distributions dependence structure modeled through proposed distance-weighted kernel density estimation method regular vine (R-vine) copula, respectively. flexibility...
The adaptive compliant gripper with passive fingers can achieve both a more compact structure and better application versatility. However, the conceptual design of is difficult lacks relevant method. To solve this problem, paper proposes an active-deformation-aided strategy for topology optimization finger structure. This utilizes auxiliary input force to enlarge output deformation enable feasible synthesis fingers. influence virtual spring stiffness on results studied. Based two designed...
Abstract Zero-stiffness compliant mechanisms (ZSCM) can provide constant or zero force over a range of motion without the issues caused by inherent stiffness (CM). The large-deflection curved beams in ZSCM enhance mechanism's performance, but pose significant modeling challenges. As an effective method for beams, chained-pseudo-rigid-body-model (CPRBM) be intuitive to implement synthesis. However, its difficulty solving reaction forces limits usability frequently-used force-based To address...