A novel algorithm for fast static security analysis during power grid interaction

A new fast static security analysis algorithm, based on the interval analysis theory and probability theory, is proposed to improve the efficiency and accuracy of security analysis during power network interaction. In this paper, the characteristics of network interaction and uncertainty in the interaction process are illustrated firstly. After that the dimension reduction technique is employed in DC interval load flow calculation to determine the branch power flow efficiently. Then active power related contingency screening index is proposed, based on the DC interval analysis and the probability theory, which facilitates the screening of serious contingencies during the interactive process and improves the accuracy of contingency screening. Finally, cumulated and Gram-Charlier series expansion based AC probabilistic power flow is carried out for different operating scenarios during interactive time process. JS 1018-bus example system is introduced to validate the proposed method. Compared with traditional static security analysis, the proposed method can provide more efficient and accurate results for real time system operation.