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

authored by

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.

Organisation(s)

Electric Power Engineering Section

External Organisation(s)

University of Bremen

Type

Conference contribution

Pages

6519-6524

No. of pages

6

Publication date

16.12.2024

Publication status

Published

Peer reviewed

Yes

Sustainable Development Goals

SDG 7 - Affordable and Clean Energy

Electronic version(s)

https://doi.org/10.1109/CDC56724.2024.10886828 (Access: Closed)