Applications of cluster analysis in Monte Carlo production simulation

Author

Huang, S.R. ; Lin, Y.W.

Author_Institution

Dept. of Electr. Eng., Feng Chia Univ., Taichung, Taiwan

Volume

11

Issue

2

fYear

1996

fDate

5/1/1996 12:00:00 AM

Firstpage

1052

Lastpage

1058

Abstract

The paper describes a computer algorithm designed for power system Monte Carlo production simulation. The design seeks to enhance the precision of production cost estimation at a reduced computation time of the existing approach. The techniques included are cluster sampling and proportional estimate. The algorithm has been evaluated and compared numerically with the existing approach. The effectiveness on precision improvement is demonstrated in this paper

Keywords

Monte Carlo methods; costing; economics; electric power generation; pattern recognition; power system analysis computing; power system planning; Monte Carlo production simulation; calculation precision; cluster analysis; cluster sampling; computation time; computer algorithm; computer simulation; power system generation; proportional estimate; Algorithm design and analysis; Application software; Clustering algorithms; Computational modeling; Computer simulation; Costs; Monte Carlo methods; Power system analysis computing; Power system simulation; Production systems;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.496194

Filename

496194