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  1. Home
  2. Applications
  3. Energy
  4. Resilient Monitoring and Control

Resilient Monitoring and Control A profound paradigm shift in the Energy sector has begun – caused especially by the large-scale integration of distributed energy resources, energy market liberalization and changes to the roles of actors, e.g. to prosumers.

The resilient operation of such a reformed, decentralized and dynamic energy system depends extensively on the data that are gathered, processed and exchanged among different actors using Information and Communication Technologies (ICT).

Key challenges in such an integrated Cyber Physical Energy System (CPES) are how to deduce a meaningful understanding of gathered information in forms of e.g. models deduction or identification of an event that can be used for operation and control of the system. Following this vision, the key topics of the group "Resilient Monitoring and Control" (ROC) are:

  • Decentralized multi-domain sensor data fusion and analysis
  • State Estimation, Monitoring and state identification of Dynamic Systems
  • Digital Twins for control, operation and planning of CPES
  • Data-driven Predictive Maintenance in Renewable Energy Systems

Against the background, examples of research questions that group ROC are currently progressing, among many others, are: 

  • How to model, design and enhance situational awareness of large-scale, multi-domain systems based on heterogeneous and distributed sensor data?
  • How to develop models for assessing the situation of energy systems using real-time, historical and scenario based data?
  • How to design and analyze strategies for resilient multi-modal energy systems?
  • How to develop digital twin for predictive maintenance of Distributed Energy Resources (DER)?

 

[Translate to english:] Sesa-Lab im OFFIS
  • Co-Simulation of Multi-Modal Energy Systems
  • Distributed Artificial Intelligence
  • Data Integration and Processing
  • Energy-efficient Smart Cities
  • Power Systems Intelligence
  • Resilient Monitoring and Control
  • Standardized Systems Engineering and Assessment
  • Smart Grid Testing

Group Manager

M.Sc. Michael Brand
Michael Brand, M.Sc.

Persons

B

Michael Brand

E-Mail: Michael.Brand(at)offis.de, Phone: +49 441 9722-144, Room: E84a

G

Andre Göring

E-Mail: andre.goering(at)offis.de, Phone: +49 441 9722-173, Room: E83

H

Batoul Hage Hassan

E-Mail: batoul.hage.hassan(at)offis.de, Phone: +49 441 9722-704, Room: E82

Nils Huxoll

E-Mail: nils.huxoll(at)offis.de, Phone: +49 441 9722-534, Room: E83

N

Anand Narayan

E-Mail: anand.narayan(at)offis.de, Phone: +49 441 9722-246, Room: E82

R

Amin Raeiszadeh

E-Mail: amin.raeiszadeh(at)offis.de, Phone: +49 441 9722-156, Room: E83

T

Payam Teimourzadeh Baboli

E-Mail: Payam.TeimourzadehBaboli(at)offis.de, Phone: +49 441 9722-129, Room: E87

W

Jelke Wibbeke

E-Mail: jelke.wibbeke(at)offis.de, Phone: +49 441 9722-492, Room: E83

Projects

D

DERIEL

De-Risking Electrolysis

Duration: 2021 - 2025

E

ENSURE Phase 2

Neue EnergieNetzStruktURen für die Energiewende (Phase 2)

Duration: 2020 - 2023

R

ReMoDigital

Resilience Monitoring for the Digitization of the Energy Transition

Duration: 2020 - 2023

S

SEGIWA

Series production of electrolyzers in the gigawatt range

Duration: 2021 - 2025

SiNED

Systemdienstleistungen für sichere Stromnetze in Zeiten fortschreitender Energiewende und digitaler Transformation

Duration: 2020 - 2024

V

VORAUS PV

Entwicklung von Vorehrsagealgorithmen für Ausfälle in komplexen leistungselektronischen Systemen in der Photovoltaik

Duration: 2020 - 2023

Publications

2022

A Hybrid Model for Analysing Disturbance Propagation in Cyber-Physical Energy Systems

Haack, J and Narayan, A and Patil, AD and Klaes, M and Braun, M and Lehnhoff, S and de Meer, H and Rehtanz, C; Electric Power Systems Research; July / 2022

URL DOI BIB
Digital Twin Architecture and Technologies for Hydrogen Electrolyser Applications

Nils Huxoll, Sharaf Alsharif, Jan C Diettrich, Tobias Brandt and Michael Brand; Abstracts of the 11th DACH+ Conference on Energy Informatics - Volume 5, Supplement 2; September / 2022

URL DOI BIB
Optimal Data Reduction of Training Data in Machine Learning-Based Modelling: A Multidimensional Bin Packing Approach

J Wibbeke, P Teimourzadeh Baboli, S Rohjans; Energies ; Jan. / 2022

URL DOI BIB
Reliability-Sensitive Optimization for Provision of Ancillary Services by Tempo-Spatial Correlated Distributed Energy Resources

P. Teimourzadeh Baboli, A. Raeiszadeh, M. Brand, and S. Lehnhoff; 17th International Conference on Soft Computing Models in Industrial and Environmental Applications; Sep. / 2022

BIB
Virtualization for Performance Guarantees of State Estimation in Cyber-Physical Energy Systems

Batoul Hage Hassan, Anand Narayan, Michael Brand and Sebastian Lehnhoff; DACH+ Conference on Energy Informatics 2022; September / 2022

DOI BIB

2021

Analyzing the Propagation of Disturbances in CPES considering the States of ICT-enabled Grid Services

Anand Narayan, Marcel Klaes, Sebastian Lehnhoff, Christian Rehtanz; Electrical Power and Energy Conference (EPEC 2021); October / 2021

BIB
Demo abstract: A Platform to Assess the Trust in Power System Components, Data, and Services

Michael Brand, Felipe Castro, Batoul Hage Hassan, Carsten Krüger, Torben Logemann, Björn Siemers, Dennis Weller, Torge Wolff, Sebastian Lehnhoff; Abstracts of the 10th DACH+ Conference on Energy Informatics; 09 / 2021

DOI BIB
Model Identification and Parameter Tuning of Dynamic Loads in Power Distribution Grid: Digital Twin Approach

Nils Huxoll; Mohannad Aldebs; Payam Teimourzadeh Baboli; Sebastian Lehnhoff; Davood Babazadeh; 2021 International Conference on Smart Energy Systems and Technologies (SEST); September / 2021

URL DOI BIB
Modern Trends and Skill Gaps of Cyber Security in Smart Grid

Björn Siemers, Shadi Attarha, Jirapa Kamsamrong, Michael Brand, Maria Valliou, Ruta Pirta-Dreimane, Janis Grabis, Nadezhda Kunicina, Mike Mekkanen, Tero Vartiainen and Sebastian Lehnhoff; IEEE EUROCON-2021 (2021 IEEE 19th International Conference on Smart Technologies (EUROCON)) ; 06 / 2021

BIB
Optimal Temperature-Based Condition Monitoring System for Wind Turbines

Payam Teimourzadeh Baboli, Davood Babazadeh, Amin Raeiszadeh, Susanne Horodyvskyy, Isabel Koprek; Infrastructures; 4 / 2021

URL DOI BIB
EN: Alle Publikationen aus dem Bereich Resilient Monitoring and Control
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