Author ORCID Identifier
Statler College of Engineering and Mining Resources
Lane Department of Computer Science and Electrical Engineering
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.
Digital Commons Citation
Banna, Hasan U.; Yu, Zhe; Shi, Di; Wang, Zhiwei; Su, Dawei; Xu, Chunlei; Solanki, Sarika K.; and Solanki, Jignesh M., "Online coherence identification using dynamic time warping for controlled islanding" (2019). Faculty & Staff Scholarship. 2507.
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