Composite system reliability evaluation based on Monte-Carlo simulation combined with outages screening

A new algorithm for composite system reliability evaluation is proposed. The new algorithm is based on the Monte-Carlo simulation method. Before simulation, an acceleration table is formed according to the screening of all the single and double outages, during simulation, all the multiple outages are considered and evaluated by using the acceleration table. In order to reduce the computational quantity, a heuristics algorithm is adopted. The concepts of relevant regions and regulative regions are proposed based on the concept of central relaxation and are used to judge the relations between the faulted components, which make it efficient to screen possible contingencies. The IEEE RTS (24-bus, 38-line, 32-generator) and the Northeast China Power System (NECPS, 331-bus, 467-line, 179-generator) were evaluated by using the developed algorithm. Results show that the new algorithm is credible and efficient. When the scale of the system is enlarged the computational quantity is increased linearly. So the new algorithm can be used for large scale power system reliability evaluation.