Profit-optimal data-driven operation of a hybrid power plant participating in energy markets

20260 citationsJournal Articlegreen Open Access

Authors

Abhinav Anand · Technical University of Munich

Carlo L. Bottasso

J Petzschmann · Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg

K Strecker · Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg

R Braunbehrens · Energy Institute

A Kaifel

Abstract

Formulates an Energy Management System (EMS) for a hybrid plant (wind + battery storage) participating in the German energy market. Uses SCADA data to improve wind power forecasts and minimizes battery degradation costs online, achieving significantly higher profits than the industry standard.Visit the SUDOCO project website to know more: Sudoco – Sustainable Resilient Data-enabled Offshore Wind Farm and Control CO-design

Topics & Keywords

Microgrid Control and Optimization Hybrid Renewable Energy Systems Integrated Energy Systems Optimization

UN Sustainable Development Goals

Affordable and clean energy

Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19257627

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