Problems in the classic frequency shift islanding detection methods applied to energy storage converters and a coping strategy

Liu, M.H.; Zhao, W.; Huang, S.L.; Wang, Q.; Shi, K.P.

Abstract

This paper first derives a usable formula based on the parallel R, L, C load and the conclusions from frequency shift islanding detection methods in current literature: the angle by which the total output current of the distributed resources (DR) units leads the point of common coupling (PCC) voltage must be conducted to have the same shifting direction as the load admittance angle during the variation of the frequency. On the basis of the formula and multi-DR operation, the scenarios in which the classic frequency shift methods are applied to energy storage converters are analyzed. The results indicate that the setting of the angle by which the energy storage converter current leads the PCC voltage may need to be modified when running state changes. It results in the problems that the classic methods are not applicable for non-UPF (unity power factor) control and have to distinguish between generation mode and consumption mode for UPF control. On account of the problems, a coping strategy, i.e. an improved method, is proposed. The analyses indicate that the improved method is applicable in every state. The last simulations and experiments confirm the preceding conclusions.

Citation

Liu, M., Zhao, W., Huang, S., Wang, Q., & Shi, K. (2018). Problems in the classic frequency shift islanding detection methods applied to energy storage converters and a coping strategy. IEEE Transactions on Energy Conversion, 33(2), 496-505. https://doi.org/10.1109/tec.2017.2761851

• Journal Article Type: Article
• Acceptance Date: Oct 3, 2017
• Online Publication Date: Oct 16, 2017
• Publication Date: Jun 1, 2018
• Deposit Date: Oct 9, 2017
• Publicly Available Date: Nov 1, 2017
• Journal: IEEE Transactions on Energy Conversion
• Print ISSN: 0885-8969
• Electronic ISSN: 1558-0059
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 33
• Issue: 2
• Pages: 496-505
• DOI: https://doi.org/10.1109/tec.2017.2761851
• Public URL: https://durham-repository.worktribe.com/output/1347564