Reliability Modeling of Standby and Emergency Generating Systems.

Abstract

Engine-generator units for use in standby power systems are reviewed. Reliability models including state transition diagrams are developed for sample systems. Methods of reliability analysis are discussed and the calculation of useful reliability measures is demonstrated. A computer program for the solution of reliability measures is included. Example systems studies are conducted and results presented. The state space approach for evaluating important reliability measures can be quickly and efficiently applied to varied standby/emergency configurations. The results of such a quantitative evaluation can assist in making cost vs. benefit decision for an installation as well as making comparisons of generator systems. The example studies conducted in the paper demonstrates the improved reliability measures obtained by introducing redundancy into a standby configuration, but another important aspect to consider is that of the start-up failure probability. Results showed that a single engine system with high start-up probability stands to be as equally reliable as a dual generator configuration with lower start-up probability. Consideration of environmental conditions can also have an effect on reliability measures but on a far more restricted scale.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1984
Accession Number
ADA159007

Entities

People

  • J. M. Lynch

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computations
  • Computer Programs
  • Computers
  • Differential Equations
  • Electrical Engineering
  • Engineering
  • Environment
  • Equations
  • Failed States
  • Failure Mode And Effect Analysis
  • Frequency
  • Generators
  • Probability
  • Standby Generators
  • Steady State
  • Test And Evaluation
  • Transitions

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Inertial Navigation Systems.
  • Internal Combustion Engine (ICE) Technology.

Technology Areas

  • Space