A data-driven real-time stability metric for SST-based microgrids
Document Type
Article
Publication Date
1-1-2022
Abstract
In this paper, a data-driven based Real-time Stability Metric (RSM) is proposed to evaluate the stability in Solid State Transformer (SST)-based modern distribution systems based on nonlinear time series analysis. This approach brings two main advantages to the analysis. First, the time series dataset is obtained from the terminal measurement; therefore, linearization is not necessarily needed as opposed to linear approaches. Second, fast dynamics in the system can be captured by an appropriate time resolution in data acquisition and it facilitates the proposed stability analysis capable in real-time. In this study, three Solid State Transformers are considered in a microgrid as the test system. Stability is evaluated by real-time determination of Lyapunov exponents through a real-time processor coordinated with the microgrid.
Publication Title
International Journal of Electrical Power and Energy Systems
Volume
134
Digital Object Identifier (DOI)
10.1016/j.ijepes.2021.107397
ISSN
01420615
Citation Information
Ferdowsi, F., Vahedi, H., Abianeh, A.J., Edrington, C.S., Elmezyani, T. (2022) A data-driven real-time stability metric for SST-based microgrids. International Journal of Electrical Power and Energy Systems, 134, 107397. https://doi.org/10.1016/j.ijepes.2021.107397