Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s40565-018-0443-z | Journal of Modern Power Systems and Clean Energy |
Keywords | Field | DocType |
Coherence identification, Constrained spectral clustering, Controlled islanding, Dynamic time warping, Phasor measurement unit measurement | Spectral clustering,Power flow,Dynamic time warping,Computer science,Phasor measurement unit,Electronic engineering,Coherence (physics),Real-time computing,Cascading failure,Blackout,Islanding | Journal |
Volume | Issue | ISSN |
abs/1708.06424 | 1 | 2196-5625 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hasan Ul Banna | 1 | 0 | 0.34 |
| Zhe Yu | 2 | 88 | 10.79 |
| Di Shi | 3 | 29 | 14.69 |
| Zhiwei Wang | 4 | 1 | 1.37 |
| Dawei Su | 5 | 0 | 0.34 |
| Chunlei Xu | 6 | 0 | 0.68 |
| Sarika Khushalani- Solanki | 7 | 21 | 3.47 |
| Jignesh Solanki | 8 | 21 | 3.47 |