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Quick and effective multiple contingency screening algorithm based on long‐tailed distribution
- Source :
- IET Generation, Transmission & Distribution. 10:257-262
- Publication Year :
- 2016
- Publisher :
- Institution of Engineering and Technology (IET), 2016.
-
Abstract
- This study proposes a quick and effective algorithm for screening severe N − 2 contingency, thus avoiding exhausting analysis of all conceivable N − 2 contingencies. First, the index of overload contribution rate (OCR) is developed on the basis of distribution factor, which is discovered to be long-tailed distributed by statistics. Then, by fully exploiting the discovered feature, the so-called technique of combination of partitioned data sets (TCPDS) is designed and described. The core of the contingency screening algorithm is to apply the TCPDS to the OCR. Moreover, an index system is established to evaluate the proposed algorithm. Finally, the proposed algorithm is proved to be effective and efficient by the index system when applied to some practical power systems.
- Subjects :
- Index (economics)
Distribution (number theory)
Basis (linear algebra)
Computer science
020209 energy
Energy Engineering and Power Technology
02 engineering and technology
computer.software_genre
Screening algorithm
Electric power system
Core (game theory)
Control and Systems Engineering
Feature (computer vision)
0202 electrical engineering, electronic engineering, information engineering
Data mining
Electrical and Electronic Engineering
Contingency
computer
Algorithm
Subjects
Details
- ISSN :
- 17518695
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- IET Generation, Transmission & Distribution
- Accession number :
- edsair.doi...........caa845306084d10f9e883dd4fd3deb45