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Power system reliability evaluation using learning vector quantization and Monte Carlo simulation

delete2003-08-01
delete30
PRE
AI
X
Xiaochuan Luo
C
Chanan Singh
A
A.D. Patton
DOI：10.1016/S0378-7796(03)00025-7delete
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Abstract

Abstract

En 中文
Artificial Neural Networks (ANN) based on the Learning Vector Quantization (LVQ) algorithm have received considerable attention as pattern classifiers. This paper proposes a new method for power system reliability evaluation combining Monte Carlo simulation and LVQ which greatly reduces the computing burden of the loss of load probability calculation compared to Monte Carlo simulation only. A case study of the IEEE RTS system is presented demonstrating the efficiency of this approach. (C) 2003 Elsevier Science B.V. All rights reserved.
Keywords:
learning vector quantization
optimal power flow
loss-of-load probability
reliability evaluation
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Electric Power Systems Research cover
Electric Power Systems Research
IF:
4.2
Papers:
1.1W
Citations:
2.2W

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