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http://hdl.handle.net/2080/776
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| Title: | Development of Rule-Based Classifiers for Rapid Stability Assessment of Wide-Area Post-Disturbance Records |
| Authors: | Kamava
Samantaray, S R
Joos, Geza |
| Keywords: | dynamic security assessment
Decision Tree
early termination
fuzzy rule base
phasor measurement unit
wide-area measurement systems
wide-area severity indices |
| Issue Date: | 2009 |
| Publisher: | IEEE |
| Citation: | IEEE Transactions on Power Systems, Vol 24, No 1, P 258-268 |
| Abstract: | The paper proposes a systematic scheme for building
compact and transparent fuzzy rule-based classifiers for rapid stability
assessment; the classifiers are initialized by large accurate decision
trees (DTs). The approach starts by selecting strategic monitoring
buses where phasor measurement units (PMUs) are placed
to capture wide-area response signals in real-time operation. These
measurements are processed in the time and frequency domains for
extracting selected decision features such as the peak spectral density
of the angle, frequency and their dot product evaluated over
the grid areas. These so-called wide-area severity indices (WASI)
are reliable time-varying stability indicators that form the basis of
an effective classification system. Large-size DTs are used to generate
initial accurate classification boundaries for decision making
as early as 1 s or 2 s after fault clearing. From the DT classification
boundaries, fuzzy membership functions (MFs) are developed
... |
| Description: | Copyright for the paper belongs to IEEE |
| URI: | http://dx.doi.org/10.1109/TPWRS.2008.2009430
http://hdl.handle.net/2080/776 |
| Appears in Collections: | Journal Articles
|
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| srs2.pdf | | 1705Kb | Adobe PDF | View/Open |
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