Robust Model Predictive Control-Based Energy Management System for the Island Power System of Suðuroy, Faroe Islands

verfasst von

Marco Alferink, Lucas Reus, Lutz Hofmann, Kai Michels

Abstract

In this paper a robust Model Predictive Control (MPC)-based Energy Management System (EMS) is developed and investigated for the case study of Suðuroy, Faroe Islands, under uncertainties resulting from real data. This island power system comprises volatile renewable energy sources, synchronous machines and a Battery Energy Storage System (BESS). In the presented robust MPC both uncertainties from the wind farm power and load demand forecasts are considered. Simulation results are derived from data of one week focusing on the diesel generators’ operational costs and the BESS usage. A comparison against a deterministic MPC-based EMS as well as historical grid operation data is performed. In the presented case study it is shown that both the deterministic MPC and the robust MPC provide significant economic benefits compared to the current grid operation. It is also found that the robust MPC achieves similar performance to the deterministic MPC regarding operational costs. Increased robustness gained through higher state of charge of the BESS is not traded for higher operational costs, highlighting the advantages of the robust MPC-based EMS.

Organisationseinheit(en)

Fachgebiet Elektrische Energieversorgung

Externe Organisation(en)

Universität Bremen

Typ

Aufsatz in Konferenzband

Seiten

6519-6524

Anzahl der Seiten

6

Publikationsdatum

16.12.2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.1109/CDC56724.2024.10886828 (Zugang: Geschlossen)