Ranking transmission lines by overload probability using the empirical rate function
Systems and Control
2020-05-20 v2 Systems and Control
Optimization and Control
Probability
Abstract
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.
Cite
@article{arxiv.2002.12675,
title = {Ranking transmission lines by overload probability using the empirical rate function},
author = {Brendan Patch and Bert Zwart},
journal= {arXiv preprint arXiv:2002.12675},
year = {2020}
}
Comments
Accepted to PMAPS 2020 (the 16th International Conference on Probabilistic Methods Applied to Power Systems)