Application of perturbation analysis to sensitivity computations of generating units and system reliability

Author

Salehfar, H. ; Trihadi, S.

Author_Institution

Dept. of Electr. Eng., North Dakota Univ., Grand Forks, ND, USA

Volume

13

Issue

1

fYear

1998

fDate

2/1/1998 12:00:00 AM

Firstpage

152

Lastpage

158

Abstract

Power generating units do not contribute equally to system reliability. The contribution or reliability importance of units can be determined by the sensitivity of system indices to input uncertainties. Units with high sensitivities are the primary candidates for system upgrades or improvements. This paper extends the infinitesimal perturbation analysis (IPA) to complex Monte Carlo based generating system reliability programs and computes system and unit sensitivity measures. Generating units are represented by 3- and 6-state models and various important system operating rules and policies are recognized. Results from a case study are presented and discussed

Keywords

Monte Carlo methods; electric power generation; perturbation techniques; power system reliability; sensitivity analysis; 3-state models; 6-state models; Monte Carlo based generating system reliability programs; generating units; infinitesimal perturbation analysis; input uncertainties; reliability importance; sensitivity computations; system operating policies; system operating rules; system reliability; Computational modeling; Monte Carlo methods; North America; Power engineering computing; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power system simulation; Stochastic systems;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.651627

Filename

651627