# Influence of Demand and Generation Uncertainty on the Operational   Efficiency of Smart Grids

**Authors:** Benjamin Matthiss, Arghavan Momenifarahani, Kay Ohnmeiss, Martin, Felder

arXiv: 1812.01886 · 2019-02-06

## TL;DR

This paper investigates how forecast errors in load and generation affect the operational efficiency of smart grids with high renewable energy shares, using a small virtual power plant as a case study.

## Contribution

It provides an analysis of the impact of prediction errors on smart grid operation, highlighting the importance of accurate forecasts for system efficiency.

## Key findings

- Forecast errors significantly impact operational performance.
- Improved forecasting reduces operational inefficiencies.
- Analysis specific to small virtual power plants.

## Abstract

To ensure the smooth and near optimal operation of storage and controllable generation in a grid with a high share of renewable energies, it is important to have accurate forecasts for load and generation. But even with the advanced forecasts available today, the prediction error can have a significant impact on the operation performance of the system. This paper compares and analyzes the impact of the prediction-error on the operational performance in case of a small virtual power plant.

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/1812.01886/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/1812.01886/full.md

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Source: https://tomesphere.com/paper/1812.01886