A passive islanding detection scheme using variational mode decomposition based mode singular entropy for integrated microgrids
- Authors
- Admasie, S.[Admasie, S.]; Bukhari, S.B.A.[Bukhari, S.B.A.]; Haider, R.[Haider, R.]; Gush, T.[Gush, T.]; Kim, C.-H.[Kim, C.-H.]
- Issue Date
- Dec-2019
- Publisher
- ELSEVIER SCIENCE SA
- Keywords
- distributed energy resources; islanding detection; Microgrids; Shannon entropy; variational mode decomposition
- Citation
- ELECTRIC POWER SYSTEMS RESEARCH, v.177
- Indexed
- SCIE
SCOPUS
- Journal Title
- ELECTRIC POWER SYSTEMS RESEARCH
- Volume
- 177
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/8072
- DOI
- 10.1016/j.epsr.2019.105983
- ISSN
- 0378-7796
- Abstract
- The high penetration of renewable energy resources, along with their inherently intermittent nature, makes unintentional islanding a critical issue in distributed generation systems. This study proposes an islanding detection scheme for integrated microgrids by using variational mode decomposition-based mode singular entropy (VMDMSE). The proposed scheme retrieves a three-phase voltage signal at the targeted distribution energy resource (DER), and employs variational mode decomposition (VMD) to obtain the principal modes. First, singular value decomposition (SVD) generates the characteristic singular matrix. Then, the probability array associated with the singular values is calculated. Finally, the mode singular entropy (MSE) is computed and utilized as an islanding detection index. The proposed scheme is evaluated through several simulations in various islanded and normal operating conditions. Moreover, cases involve varying power mismatches, and the quality factor are simulated on a widely used UL-1741 standard test system in MATLAB/SIMULINK environment. The obtained results confirm that the proposed scheme is capable of detecting islanding operation within half a cycle, even for a zero mismatch power between load and generation in the islanded region.
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Collections - Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles
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