Critical Propagation Path Identification for Cascading Overload Failures With Multi-Stage MILP

• Published in: IEEE access Vol. 10; pp. 117561 - 117571
• Main Authors: Wang, Leibao, Zeng, Siming, Liang, Jifeng, Fan, Hui, Li, Tiecheng, Luo, Peng, Rong, Shiyang, Hu, Bo
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adequacy; Cascading overload failures; Contingency management; Evaluation; Failure; Integer programming; Linear programming; Load flow; Mixed integer; mixed-integer linear programming; N-k contingencies; Optimization; Overloading; Power system faults; Power system protection; Power system reliability; Power transmission lines; Probability; Propagation; propagation path; Reliability aspects; reliability risk; Search algorithms; Transmission lines
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2022.3218327

Cascading overload failures of transmission lines are one of the dominant factors that induce catastrophic blackouts. The reliability risk of cascading overload failures is significantly underestimated in traditional adequacy assessment studies. This paper proposes an evaluation model for the assessment of <inline-formula> <tex-math notation="LaTeX">N </tex-math></inline-formula>-<inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> contingencies as cascading overloading failures. The interactions between outaged lines in the propagation path are revealed with a multi-stage optimization problem. The objective function is to maximize the probability of the propagation path of cascading overload failures. Several linearization techniques are proposed to convert the nonlinear evaluation model to mixed-integer linear programming. A rolling search algorithm is adopted to improve the capability of the proposed model to evaluate high-order contingencies. The case studies on the IEEE 118-bus systems show that the proposed model enables the identification of critical propagation paths with probabilities that are a few orders of magnitude larger than those with the traditional method.