# Development of a multi-timescale method for classifying hybrid energy storage systems in grid applications

arXiv: https://arxiv.org/abs/2203.07750 · HTML: https://mlsanity.com/paper/2203.07750/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Mar 2022.

## Built on by (most cited first, 1 of 1)

- [Large Language Models are Pattern Matchers: Editing Semi-Structured and Structured Documents with ChatGPT](https://mlsanity.com/paper/2409.07732/) (2024)

## Abstract (arXiv)

An extended use of renewable energies and a trend towards increasing energy consumption lead to challenges such as temporal and spatial decoupling of energy generation and consumption. This work evaluates the possible applications and advantages of hybrid energy storage systems compared to conventional, single energy storage applications. In a mathematical approach, evaluation criteria such as frequency, probability of power transients, as well as absolute power peaks are combined to identify suitable thresholds for energy management systems on a multi-timescale basis. With experimental load profiles from a municipal application, an airport, and an industrial application, four categories, clustering similar roles of the VRFB and the SC, are developed.