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- Title
Adaptive inertia and damping of grid‐connected inverter with improved VSG control.
- Authors
Ling, Zhitao; Liu, Yitao; Wang, Zhiping; Yin, Jian
- Abstract
The control technology of virtual synchronization generator (VSG) based on energy storage system is proposed to compensate for the inertia and damping loss caused by the grid connection of distributed generators. However, with the addition of virtual inertia and damping, VSG is prone to generate frequency and power oscillation, and the regulating ability is weakened. For the above problems, this paper analyzes the inertia and damping characteristics of the synchronous motor in the rotation of synchronous motors, and applies artificial neural network control to VSG. In intelligent control strategy, a multi‐input‐output radial basis function (RBF) neural network is first proposed to adaptively adjust virtual inertia and damping. Finally, an experimental platform with a rated power of 1 kW and a variable load of 1 kW was built to validate the proposed control strategy. The experimental results show that the artificial neural network control strategy has a better regulation ability.
- Subjects
SYNCHRONOUS electric motors; RADIAL basis functions; ENERGY storage; ELECTRIC inverters; FREQUENCIES of oscillating systems; INTELLIGENT control systems
- Publication
IET Power Electronics (Wiley-Blackwell), 2023, Vol 16, Issue 16, p2769
- ISSN
1755-4535
- Publication type
Article
- DOI
10.1049/pel2.12600