Uncertainty Management in Power System Operation Decision Making

TL;DR

This paper reviews uncertainty modeling methods in power system operation, demonstrating their application in microgrid scheduling under high uncertainty levels to improve decision-making accuracy.

Contribution

It introduces a comprehensive analysis of uncertainty modeling techniques and applies a stochastic scenario-based approach to microgrid scheduling, highlighting its effectiveness.

Findings

Effective uncertainty modeling improves microgrid decision-making.

Stochastic scenario-based approach enhances profit maximization.

Method performs well under high uncertainty levels.

Abstract

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.