Document Type

Article

Publication Date

2019

College/Unit

Statler College of Engineering and Mining Resources

Department/Program/Center

Lane Department of Computer Science and Electrical Engineering

Abstract

Controlled islanding is considered to be the last countermeasure to prevent a system-wide blackout in case of cascading failures. It splits the system into self-sustained islands to maintain transient stability at the expense of possible loss of load. Generator coherence identification is critical to controlled islanding scheme as it helps identify the optimal cut-set to maintain the transient stability of the post-islanding systems. This paper presents a novel approach for online generator coherency identification using phasor measurement unit (PMU) data and dynamic time warping (DTW). Results from the coherence identification are used to further cluster non-generator buses using spectral clustering with the objective of minimizing power flow disruptions. The proposed approach is validated and compared to existing methods on the IEEE 39-bus system and WECC 179-bus system, through which its advantages are demonstrated.

Source Citation

Banna, H.U., Yu, Z., Shi, D. et al. Online coherence identification using dynamic time warping for controlled islanding. J. Mod. Power Syst. Clean Energy 7, 38–54 (2019). https://doi.org/10.1007/s40565-018-0443-z

Comments

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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