Accelerating System Adequacy Assessment using the Multilevel Monte Carlo Approach
@article{Tindemans2019AcceleratingSA,
title={Accelerating System Adequacy Assessment using the Multilevel Monte Carlo Approach},
author={Simon Tindemans and Goran Strbac},
journal={ArXiv},
year={2019},
volume={abs/1910.13013}
}
5 Citations
Multilevel Monte Carlo with Surrogate Models for Resource Adequacy Assessment
- Computer Science2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
- 2022
The high accuracy and inference speed of machine-learned surrogates result in very large speedups, compared to using MLMC with hand-built models.
Composite Power System Reliability with Renewables and Customer Flexibility
- Engineering2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
- 2022
Composite Power System Reliability is defined as the computational procedure that quantifies the probability that the power system will perform the function of delivering electric power to customers…
Bibliography on Composite System Reliability Assessment 2000-2020
- Engineering2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
- 2022
This paper presents a bibliography on composite power system reliability evaluation. It includes material which has become available since the publication of eight previous papers, "Bibliography on…
Stochastic Diffusion Process-based Multi-Level Monte Carlo for Predictive Reliability Assessment of Distribution System
- EngineeringU.Porto Journal of Engineering
- 2021
Reliability assessment of electrical distribution systems is an important criterion to determine system performance in terms of interruptions. Probabilistic assessment methods are usually used in…
Joint assessment of generation adequacy with intermittent renewables and hydro storage: A case study in Finland
- Environmental Science, Engineering
- 2021
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