M.H Liu
A solution to the parameter selection and current static error issues with frequency shift islanding detection methods
Liu, M.H; Zhao, W.; Wang, Q.; Huang, S.L.; Shi, K.P.
Abstract
Frequency shift islanding detection methods have been widely used in inverter-based distributed generations. Two representatives of such methods, Sandia frequency shift (SFS) and reactive current perturbation (RCP) methods, are investigated in this paper. The investigation reveals two main issues with these two methods, i.e., parameter selection scheme for positive feedback gain and current static error. The current parameter selection scheme, in particular, is considered unreliable and inconvenient in this paper, for it has not considered the weakening effect of PI regulators on positive feedback and the positive feedback gain is actually obtained by trial and error, which makes it difficult to use such methods well in field environments. In view of these issues, this paper proposes a solution that contains an improved method to eliminate current static error and a reliable and convenient parameter selection scheme based on system stability analyses. The final simulations and experiments verify the good performance of the improved method and the parameter selection scheme.
Citation
Liu, M., Zhao, W., Wang, Q., Huang, S., & Shi, K. (2020). A solution to the parameter selection and current static error issues with frequency shift islanding detection methods. IEEE Transactions on Industrial Electronics, 68(2), 1401-1411. https://doi.org/10.1109/tie.2020.2970684
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 30, 2019 |
Online Publication Date | Feb 5, 2020 |
Publication Date | 2020 |
Deposit Date | Dec 31, 2019 |
Publicly Available Date | Jan 3, 2020 |
Journal | IEEE Transactions on Industrial Electronics |
Print ISSN | 0278-0046 |
Electronic ISSN | 1557-9948 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 68 |
Issue | 2 |
Pages | 1401-1411 |
DOI | https://doi.org/10.1109/tie.2020.2970684 |
Public URL | https://durham-repository.worktribe.com/output/1280865 |
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