| Issue |
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
|
|
|---|---|---|
| Article Number | 01063 | |
| Number of page(s) | 6 | |
| Section | Chemical Performance Structure Research and Environmental Pollution Control | |
| DOI | https://doi.org/10.1051/e3sconf/202124801063 | |
| Published online | 12 April 2021 | |
Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization Algorithm
School of Mechanical Engineering, Shanghai Dianji University, Shanghai, 201306, China
* Corresponding author’s e-mail: 186002010103@st.sdju.edu.cn
In order to solve the problem that the frequency stability of power system is threatened due to inertia and damping reduction. In this paper, an adaptive control strategy of virtual synchronous generator based on improved multi-objective particle swarm optimization algorithm with physical process is proposed. This method takes into account the static and dynamic performance of the system, and in the face of small disturbances, it can adjust the moment of inertia and damping in a planned way and reduce the search range of the moment of inertia, thereby reducing the frequency deviation and speeding up the end of the transition process.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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