The reliability evaluation of the power system containing wind farm using the improved state space partition method

The random mass access of wind power made the reliability assessment of power system with large-scale wind farms more significant. This paper proposed a new method of power system reliability assessment with large-scale wind power generation. The state-space partitioning algorithm is improved considering the forced shutdown of unit rate and its effect on the reliability of the system, using the minimum adjacent state instead of adjacent state sets. At the same time, the proposed method considered the wind turbine´s own service model and the uncertainty of wind speed. Use the normal distribution function to simulate wind speed distribution. Use hierarchical cluster analysis technology to consider the uncertainty of the wind farms to join in the system. Compared with the fast sort method reduces the need to filter on the number of states and memory footprint, increasing the calculation speed. In this paper, finally, based on the Matlab program, using the IEEE-RTS79 reliability test system as an example verified the correctness and validity of the algorithm.