DOI:https://doi.org/10.1007/s40565-018-0443-z |
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Online coherence identification using dynamic time warping for controlled islanding |
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Net amount: 1078 |
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Author:
Hasan Ul BANNA1,2, Zhe YU1, Di SHI1, Zhiwei WANG1, Dawei SU3, Chunlei XU3, Sarika Khushalani SOLANKI2, Jignesh M. SOLANKI2
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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
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Foundation: |
This work was supported by SGCC Science and Technology Program (No. 5455HJ160007). |
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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 |
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Online Time:2019/01/28 |
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