A5010105123- Microgrid Control and Optimization
- Power Systems and Renewable Energy
- Adaptive Control of Nonlinear Systems
- Sensorless Control of Electric Motors
- Wind Turbine Control Systems
- Iterative Learning Control Systems
- Photovoltaic System Optimization Techniques
Nanjing Institute of Technology
2021-2022
Due to the lack of inertial support physical rotor reliable power, problem weak inertia system is prominent when large-scale grid connection. Aiming at new energy power systems, this paper takes photovoltaic generation with generalized droop control as research object. Firstly, introduces structure and mathematical principle At same time, electrical torque model established in order reveal characteristics grid-tied inverter under control, moreover, influencing factors system's influence...
Photovoltaic power generation relies on electronics and therefore does not have natural inertia damping characteristics. In order to make the capacitance of medium time scale participate in grid frequency response without adding additional equipment, this paper takes grid-connected photovoltaic system based DC voltage droop control as research object, establishes static synchronous generator (SSG) model system. The is used analyze main parameters affecting inertia, synchronization...
Aiming at the problem that generalized disturbance such as parameter perturbation, load and unmodeled dynamics will reduce performance of mover speed control permanent magnet synchronous linear motor (PMSLM), an improved sliding mode (ISMC) strategy PMSLM based on model-assisted extended state observer (MALESO) is proposed. Firstly, a mathematical model considering established, then tracking error signal introduced into traditional exponential reaching law (TERL) system variable, (IERL)...