# Uncertainty Management in Power System Operation Decision Making

arXiv: https://arxiv.org/abs/1911.10358 · HTML: https://mlsanity.com/paper/1911.10358/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Nov 2019.

## Built on by (most cited first, 1 of 1)

- [Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review](https://mlsanity.com/paper/2202.10098/) (2022)

## Abstract (arXiv)

Due to the penetration of renewable energy resources and load deviation, uncertainty handling is one of the main challenges for power system; therefore the need for accurate decision-making in a power system under the penetration of uncertainties is essential. However, decision makers should use suitable methods for uncertainty management. In this chapter, some of the uncertainty modeling methods in power system studies are analyzed. At first, multiple uncertain parameters that the power system deals with are introduced, then some useful uncertainty modeling methods are introduced. To show the uncertainty modeling process and its effect on the decision-making, a microgrid consisting of multiple uncertain parameters is considered, and stochastic scenario-based approach is used for uncertainty modeling. The scheduling of microgrids in the presence of different types of uncertainty is solved from the profit-maximization point of view. The simulation results are presented for a 33-bus microgrid that shows the effectiveness of the proposed method for decision-making under high level of uncertainty.