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.
@article{arxiv.1812.01886,
title = {Influence of Demand and Generation Uncertainty on the Operational Efficiency of Smart Grids},
author = {Benjamin Matthiss and Arghavan Momenifarahani and Kay Ohnmeiss and Martin Felder},
journal= {arXiv preprint arXiv:1812.01886},
year = {2019}
}