A Robust Design Strategy for Grid-Connected Inverter Controller Parameters Based on Passivity Theory
Authors
Ming Li, Yongtao Mao, Xing Wang, Enjun Liu, Xing Zhang, Hua Geng
Abstract
Nowadays, with the vigorous development of offshore wind power and desert photovoltaic projects, especially with grid-connected inverters as the key interface for renewable energy grid integration, the traditional control methods based on linear architectures such as proportional-integral (PI) control are no longer suitable for the novel scenarios. This is due to the nonlinear scenarios resulting from changes in grid structure or parameters caused by inverters plug-and-play and random switching conditions. In these situations, there is a risk of wide-band oscillation in the grid-connected current. Therefore, this paper proposes a passivity-based feedback controller designed using the port-controlled Hamiltonian model (PCH) for grid-connected inverters operating in traditional grid-following (GFL) modes. Considering nonlinear control delays, a parameter design scheme optimized for multiple performance indexes is obtained using the D-partition method. This scheme ensures that the grid-connected inverter can resist external disturbances and operate reliably under nonlinear conditions, with strong robustness.
Keywords
d-partition method, grid-following, passivity-based control (pbc), robust control
Citation
- ISBN: 9789819620456
- Publisher: Springer Nature Singapore
- DOI: 10.1007/978-981-96-2046-3_17
- Note: International Conference of Electrical, Electronic and Networked Energy Systems
BibTeX
@inbook{Li_2025,
title={{A Robust Design Strategy for Grid-Connected Inverter Controller Parameters Based on Passivity Theory}},
ISBN={9789819620463},
ISSN={1876-1119},
DOI={10.1007/978-981-96-2046-3_17},
booktitle={{The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems}},
publisher={Springer Nature Singapore},
author={Li, Ming and Mao, Yongtao and Wang, Xing and Liu, Enjun and Zhang, Xing and Geng, Hua},
year={2025},
pages={162--171}
}References
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