Capturing Distribution Grid-Integrated Solar Variability and Uncertainty Using Microgrids

TL;DR

This paper proposes a robust optimization-based microgrid scheduling model to effectively manage solar variability and uncertainty, aiding higher solar integration into distribution grids.

Contribution

It introduces a novel microgrid optimal scheduling approach that captures solar variability and uncertainty using robust optimization techniques.

Findings

The model effectively mitigates solar variability impacts.

Numerical simulations demonstrate improved grid hosting capacity.

The approach enhances reliability of solar integration.

Abstract

The variable nature of the solar generation and the inherent uncertainty in solar generation forecasts are two challenging issues for utility grids, especially as the distribution grid integrated solar generation proliferates. This paper offers to utilize microgrids as local solutions for mitigating these negative drawbacks and helping the utility grid in hosting a higher penetration of solar generation. A microgrid optimal scheduling model based on robust optimization is developed to capture solar generation variability and uncertainty. Numerical simulations on a test feeder indicate the effectiveness of the proposed model.