Design and Dispatch of Decentralized Energy Systems using Artificial Neural Networks

verfasst von

Lukas Koenemann, Astrid Bensmann, Johannes Gerster, Richard Hanke-Rauschenbach

Abstract

Decentralized energy systems, pivotal in transitioning towards a sustainable energy future, require intelligent dispatch strategies for the operation of flexible components in order to integrate inflexible renewable energy sources economically. Conventional rule-based dispatch strategies often fail to optimally exploit the capabilities of flexible system components, while optimal dispatch models, based on the assumption of perfect forecasting, tend to overestimate their performance. This paper investigates the effectiveness of artificial neural networks (ANNs) as a dynamic dispatch strategy for distributed energy systems (DES), evaluating their performance in operational scenarios with a predefined system layout and during the system design optimization phase. Our analysis shows that ANN-based dispatch strategies outperform conventional rule-based methods by up to 8.19% in operational efficiency according to training datasets and by 3.19% in validation datasets. However, they fall short of optimal dispatch strategies by 4.52% and 1.59% in training and validation datasets, respectively. When applied to system design optimization, ANN-based strategies outperform rule-based approaches by 5.80-9.19% but underperform against optimal dispatch designs by 10.63%. Crucially, the study highlights that dispatch strategies not only influence overall system costs but also significantly impact the sizing and configuration of individual system components. This underlines the importance of incorporating intelligent dispatch strategies like ANNs early in the design process to ensure a balanced and cost-effective system architecture.

Organisationseinheit(en)

Institut für Elektrische Energiesysteme

Externe Organisation(en)

WETEC Systems GmbH

Typ

Aufsatz in Konferenzband

Seiten

2307-2318

Anzahl der Seiten

12

Publikationsdatum

30.06.2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Allgemeine Energie, Allgemeiner Maschinenbau, Allgemeine Umweltwissenschaft

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.52202/077185-0198 (Zugang: Geschlossen)