# Forecasting Intra-Hour Imbalances in Electric Power Systems

**Authors:** T\'arik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth

arXiv: 1902.00563 · 2019-02-05

## TL;DR

This paper introduces a new forecasting tool for intra-hour electric power imbalances, aiming to assist transmission system operators in balancing supply and demand more accurately amidst increasing grid complexity.

## Contribution

The paper presents a novel imbalance forecasting method tailored for the Norwegian TSO, improving proactive imbalance management over existing solutions.

## Key findings

- Higher accuracy in imbalance trend prediction
- Potential to reduce balancing reserves usage
- Supports proactive imbalance mitigation

## Abstract

Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is due to the increasing complexity of the electric power grid system with the intermittent renewable production as one of the contributors. A beforehand information about an occurring imbalance can help the transmission system operator to adjust the production plans, and thus ensure a high security of supply by reducing the use of costly balancing reserves, and consequently reduce undesirable fluctuations of the 50 Hz power system frequency. In this paper, we introduce the relatively new problem of an intra-hour imbalance forecasting for the transmission system operator (TSO). We focus on the use case of the Norwegian TSO, Statnett. We present a complementary imbalance forecasting tool that is able to support the TSO in determining the trend of future imbalances, and show the potential to proactively alleviate imbalances with a higher accuracy compared to the contemporary solution.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1902.00563/full.md

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/1902.00563/full.md

## References

11 references — full list in the complete paper: https://tomesphere.com/paper/1902.00563/full.md

---
Source: https://tomesphere.com/paper/1902.00563