A5014476056- Microgrid Control and Optimization
- Optical Systems and Laser Technology
- Neural Networks and Applications
- Electric Vehicles and Infrastructure
- Image and Video Stabilization
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
- Advanced Sensor and Control Systems
- Advanced Control Systems Design
- Advanced Control Systems Optimization
- Hybrid Renewable Energy Systems
- Solar Radiation and Photovoltaics
Yingkou Institute of Technology
2020-2023
North China Electric Power University
2016
As the electric vehicle(EV)charging is playing an important role in distribution network, it has attracted more and attention. In order to clarify relationship between operation mode of EVs, peak charging load power grid, this paper defines two key parameters: coincidence factor mutual factor. The variation tendencies these parameters under different EVs scale rate are also analyzed. Based on characteristics EV network residential area, evaluation method for supportability proposed. Finally...
Abstract In order to improve the adaptive compensation control ability of furnace dynamic temperature logic, an optimal model logic based on proportion‐integral‐derivative (PID) position algorithm is proposed. Firstly, constraint index heating constructed, and target structure analysis electric realized by using PID mode. The platinum resistor used collect in feedback link, controlled equipment converts electrical energy into heat for release. As rises, difference between two sent fuzzy...
Due to the uncertainty and randomness of large-scale wind light, output power grid has great fluctuations. If it is directly connected grid, will affect main grid. In addition, when switches between on-grid/off-grid operation modes, there be shortages, shocks oscillations. The scientific reasonable configuration energy storage system capacity big data can reduce load shortage rate, improve utilization rate renewable energy, ensure reliable For this reason, key technology wind-solar hybrid...