Reliability evaluation of wind farms considering generation and transmission systems

This paper studies reliability contribution of wind farms for a typical power system in Australia. Reliability evaluation has been done in two different levels; generation system level and generation-transmission composite system. State Sampling Monte Carlo technique is utilized for reliability assessment and Fuzzy C-means clustering method is employed to create multistep models for load and wind power. Furthermore, different scenarios have been studied to evaluate the effect of tie-line power transfer modeling on the reliability benefit of wind farms. Results show that the capacity value of wind farms in a composite system assessment is lower than generation level and is related to transmission system limits, power flow constraints and tie lines power transfer model. Moreover, results of the composite system study can be utilized in transmission expansion planning in order to increase the reliability contribution of wind energy.