A5086560178- Microgrid Control and Optimization
- Smart Grid Energy Management
- Power Systems and Renewable Energy
- Magnetic Properties and Applications
- Laser and Thermal Forming Techniques
- Silicon Carbide Semiconductor Technologies
- Power Systems Fault Detection
- Thin-Film Transistor Technologies
- Distributed and Parallel Computing Systems
- Machine Learning and ELM
- Advanced Computing and Algorithms
- Belt Conveyor Systems Engineering
- Dam Engineering and Safety
- Induction Heating and Inverter Technology
- Integrated Energy Systems Optimization
- Energy Load and Power Forecasting
- Geoscience and Mining Technology
- Advanced Data Storage Technologies
- Underground infrastructure and sustainability
- Optimal Power Flow Distribution
- Caching and Content Delivery
- Grey System Theory Applications
- High-Voltage Power Transmission Systems
- Neural Networks and Applications
- Smart Grid and Power Systems
China Railway Signal & Communication (China)
2025
State Grid Corporation of China (China)
2023-2024
Wuhan National Laboratory for Optoelectronics
2017-2018
Huazhong University of Science and Technology
2017-2018
Huazhong University of Science and Technology Hospital
2017
China University of Mining and Technology
1990
In high-speed railway signaling systems, the network structure of Train Control Center and Inter-locking Integrated System (TIS) is highly complex, with a large number interfaces, numerous redundant channels, forwarding components such as switches. These factors result in challenges insufficient accuracy, low efficiency, poor real-time performance terms monitoring fault diagnosis. As scale yards continues to expand, these issues are becoming increasingly prominent. To address challenges,...
By exploiting the potential advantages of electromagnetic forming, a comprehensive approach has been developed for large sheet metal forming. In this study, was applied to form an aluminum alloy into partial-ellipsoid shape. The is with diameter 1378 mm, and thickness 3.945 mm. Compared conventional forming process, facility very light-weight, following dimension: width 1840 length height 1800 An experiment performed evaluate quality obtained by proposed facility. profile formed measured...
The development of pulsed power supplies and switched-mode raises urgent need for medium-frequency high-power transformers. This paper proposes an optimal design method Fe-based amorphous transformer based on multiobjective postdecision genetic algorithm. optimization targets at volume (expressed in terms area product A <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> ) its loss. Transformer operating frequency f , magnetic flux density B...
The increasing demand for distributed energy and active load increases the risk of voltage violations in distribution systems. This paper proposes a distributionally robust transactive control method local trading network operation management systems with interconnected microgrids. In particular, emerging SOP technology is used flexible connection multi-microgrids (MMGs). First, interactive market between operator (DNO) regional microgrids constructed to simultaneously solve economic...
Accurate prediction of load is very important in the management power system. This paper proposed a two-stage optimization method gray-Markov model with fractional order accumulation for short-term forecasting. Firstly, gray GMpq(1,1) optimal investigated. Secondly, Markov chain state numbers used to deal residual error series improve accuracy. Thirdly, results case study show that and can perform more intelligent further accuracy forecasting relative some other methods.
The development of power electronic transformer (PET) and high pulse technology raises urgent need for frequency (HPHF) transformers. High-frequency (HF) Fe-based amorphous is a promising solution. This paper proposes an optimal design method HF based on post-decision multiobjective genetic algorithm (GA). optimization targets at volume (expressed in terms area product A <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> ) its loss. Taking...
The demand response (DR) resources of multiple entities have different operation strategies, which makes it difficult to realize the co-optimization. This paper proposes a cooperative hierarchical scheduling optimization model interconnected multi-microgrid and an active distribution network (ADN) considering DR with strategies. First, collaborative framework is proposed interaction characteristics mode multi-interconnected microgrid ADN are analyzed. Second, two-layer established, upper...
The integration of large-scale intermittent renewable energy generation into the power grid imposes challenges to secure and economic operation system, storage (ES) can effectively mitigate this problem as a flexible resource. However, conventional ES allocation is mostly planned meet regulation demands individual entities, which likely result in low utilization difficult recover investment cost. Therefore, two-stage stochastic optimal model for grid-side independent (IES) considering...
In recent years, the development of Internet has penetrated into all walks life, and several large companies are actively embracing new era by developing businesses in energy sector, including investment power plants storage plants. This paper mai
Abstract Considering the impact of industrial hydrogen load on consumptive capacity new energy, it is necessary to research generation coordination and planning power systems considering industry load. Firstly, energy consumption in production storage process, as well for addition/use, transfer, interruptible flexibility, an equivalent electrical conversion model multiple forms loads established. Secondly, absorption investment decision-making problem supply, production, equipment unified...
The field of distribution network has entered the era "big data", and deep learning with strong adaptive feature extraction, classification prediction ability also achieved fruitful results in data processing. However, most these studies were all performed under a single label system to achieve task objective. In context big data, not only cuts off connection between multi-tasks fault identification network, but can't completely describe various state information such as type segment...