A comparison of Monte Carlo simulation techniques for composite power system reliability assessment

The paper illustrates three Monte Carlo simulation approaches and compares the sequential technique with nonsequential methods such as state sampling and state transition sampling, when applied to composite power system reliability assessment. The three different Monte Carlo simulation methods have been applied to a composite generation and transmission test system utilizing an annualized peak load and the results are compared. The paper also illustrates the utilization of an annual chronological load curve for each load bus in the test system and a sequential Monte Carlo simulation approach for composite system reliability assessment. An equivalent method, using a load duration curve of the system load and an enumeration process have been applied to the load model and the results are compared in this paper