Pruning and simulation for determination of frequency and duration indices of composite power systems

Author

Mitra, J. ; Singh, C.

Author_Institution

LCG Consult., Los Altos, CA, USA

Volume

14

Issue

3

fYear

1999

fDate

8/1/1999 12:00:00 AM

Firstpage

899

Lastpage

905

Abstract

This paper introduces a method for computing the frequency and duration indices of a composite power system, using random Monte Carlo sampling selectively on those parts of the state space where failure states are more likely to occur. The implementation uses a DC flow model to represent network power flows. The method is tested using a modified form of the IEEE Reliability Test System and is shown to be significantly faster than conventional Monte Carlo simulation, while retaining the same level of accuracy

Keywords

Monte Carlo methods; failure analysis; power system analysis computing; power system faults; power system reliability; state-space methods; DC flow model; IEEE Reliability Test System; composite power systems; computational accuracy; duration indices; failure states; frequency indices; network power flows; random Monte Carlo sampling; state space pruning; Computational modeling; Costs; Frequency; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power system simulation; State-space methods; System testing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.780901

Filename

780901