Identification of Cascading Failure Critical Lines in the Dynamic Zero-sum Game of DC Transmission System Based on Bias Correlation

As wind power penetration and DC operation expand, the power grid’s operation characteristics become increasingly complicated. The research on identifying critical lines of Cascading failure in wind power DC transmission networks is extremely useful in preventing power grid outages. To identify key lines, five indexes were developed: average load rate, weighted power flow transfer entropy, short-circuit ratio of wind power access ratio, transient voltage variation level of wind power gathering point, and effectively short-circuit ratio of operational reactive power. This study used the bias correlation approach and the bias relation number between the five indexes and load loss to demonstrate that all five indices may indicate Cascading failures. Demonstrate the usefulness of the five indicators. Finally, the weighing is realized using the dynamic zero-sum game in conjunction with the upgraded AHP scale expansion analytic Hierarchy process and EVM entropy weight technique. Given the influence factor that the management and adjustment of the power system itself may avoid the growth of the Cascading failure in the power system’s development process, the weight is more consistent with the power system’s development trend.