CONVERGENCE CHARACTERISTICS OF 2 MONTE-CARLO MODELS FOR RELIABILITY EVALUATION OF INTERCONNECTED POWER-SYSTEMS

abstract

• The convergence characteristics of two Monte Carlo models are investigated in this paper. These two models or their variations have been used by the electric power industry. Model 1 is based on the random sampling of generator and transmission line status for each hour. Model 2 advances the generation and transmission using the next-event approach. Mathematical analysis and system studies indicate that model 2 converges slower than model 1. The simulation time for model 2 is generally more than twice the mean duration of loss of load. The CPU time per year of simulation is shorter for model 2. However, the total CPU time for model 2 is much longer than for model 1. 1993.

authors

• Singh, Chanan

published proceedings

• ELECTRIC POWER SYSTEMS RESEARCH

author list (cited authors)

• SINGH, C., CHANDER, T. P., & FENG, J.

citation count

• 20

publication date

• October 1993

publisher

• Elsevier  Publisher

keywords

• Monte-carlo Simulations
• Power System Modeling
• Reliability Evaluation

Digital Object Identifier (DOI)

• 10.1016/0378-7796(93)90073-N

start page

• 1

end page

• 9

volume

• 28

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2F0378-7796%2893%2990073-n