Convergence characteristics of two Monte Carlo models for reliability evaluation of interconnected power systems

✍ Scribed by C. Singh; T.Pravin Chander; Jun Feng

• Publisher: Elsevier Science
• Year: 1993
• Tongue: English
• Weight: 698 KB
• Volume: 28
• Category: Article
• ISSN: 0378-7796
• DOI: 10.1016/0378-7796(93)90073-n

✦ Synopsis

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.