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DOI:https://doi.org/10.1007/s40565-018-0443-z
Online coherence identification using dynamic time warping for controlled islanding
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Authros: Hasan Ul BANNA1,2, Zhe YU1, Di SHI1, Zhiwei WANG1, Dawei SU3, Chunlei XU3, Sarika Khushalani SOLANKI2, Jignesh M. SOLANKI2

Author Affiliation: 1. GEIRI North America, San Jose, USA 2. Department of CSEE, West Virginia University, Morgantown, USA 3. Grid Dispatch Center, State Grid Jiangsu Electric Power Company, Nanjing, China

Foundation:

This work was supported by SGCC Science and Technology Program (No. 5455HJ160007).
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 identi- fication 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.

Keywords:

Coherence identification, Constrained spectral clustering, Controlled islanding, Dynamic time warping, Phasor measurement unit measurement
              Online Time:2019/01/28
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