Optimizing the Operation of Energy Islands with Predictive Nonlinear Programming - A case study based on the Princess Elisabeth Energy Island

Mario Useche; Pieter M. O. Gebraad; Vinícius Albernaz Lacerda; Marc Cheah-Mañé; Oriol Gomis‐Bellmunt

doi:10.5281/zenodo.18414312

Optimizing the Operation of Energy Islands with Predictive Nonlinear Programming - A case study based on the Princess Elisabeth Energy Island

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

Read full text

Authors: Mario Useche, Pieter M. O. Gebraad, Vinícius Albernaz Lacerda, Marc Cheah-Mañé, Oriol Gomis‐Bellmunt

DOI: 10.5281/zenodo.18414312

Cited by: 0

Abstract

This repository contains Python/Pyomo code used to perform operational simulations of the Princess Elisabeth Energy Island, as described in the following publication: Useche-Arteaga, M., Gebraad, P., Lacerda, V., Cheah-Mane, M., and Gomis-Bellmunt, O.: Optimizing the Operation of Energy Islands with Predictive Nonlinear Programming – A case study based on the Princess Elisabeth Energy Island, Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2025-102, in review, 2025.

Fields of Study & Subjects

Integrated Energy Systems Optimization Electric Power System Optimization Hybrid Renewable Energy Systems

Publication details

Journal / source: Zenodo (CERN European Organization for Nuclear Research)
Publication date: 29 January 2026
Language: EN