Ranking transmission lines by overload probability using the empirical\n rate function

2020/02/28 by Brendan Patch, Bert Zwart, Patch, Brendan +1
Engineering · #Electric Power System Optimization #FOS: Electrical engineering #FOS: Mathematics #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Power System Reliability and Maintenance #Probability (math.PR) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2002.12675

openalex publication_date 2020/02/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We develop a non-parametric procedure for ranking transmission lines in a\npower system according to the probability that they will overload due to\nstochastic renewable generation or demand-side load fluctuations, and compare\nthis procedure to several benchmark approaches. Using the IEEE 39-bus test\nnetwork we provide evidence that our approach, which statistically estimates\nthe rate function for each line, is highly promising relative to alternative\nmethods which count overload events or use incorrect parametric assumptions.\n

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