2020/02/28 by Brendan Patch, Bert Zwart, Patch, Brendan +1
Computer Science · Engineering · Mathematics · #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) #cs.SY #eess.SY #electronic engineering #information engineering #math.OC #math.PR
paper · pdf · doi:10.48550/arxiv.2002.12675
Accepted to PMAPS 2020 (the 16th International Conference on Probabilistic Methods Applied to Power Systems)
openalex publication_date 2020/02/28 · arxiv created 2020/05/19 · arxiv updated 2020/05/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We develop a non-parametric procedure for ranking transmission lines in a power system according to the probability that they will overload due to stochastic renewable generation or demand-side load fluctuations, and compare this procedure to several benchmark approaches. Using the IEEE 39-bus test network we provide evidence that our approach, which statistically estimates the rate function for each line, is highly promising relative to alternative methods which count overload events or use incorrect parametric assumptions.