Resilient Strategies in Cyber-Physical Energy Systems

A special issue of Infrastructures (ISSN 2412-3811). This special issue belongs to the section "Smart Infrastructures".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 5546

Special Issue Editors


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Guest Editor
Institute of Electrical Power and Energy Technology, Hamburg University of Technology, 21079 Hamburg, Germany
Interests: power-system dynamics; distributed control; situational awareness; state estimation and identification; Smart Grid testing; real-time simulation

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Guest Editor
University of Vaasa, P.O. Box 700, 65101 Vaasa, Finland
Interests: information systems; energy informatics; human behavior; ethics; value co-creation; project management; qualitative research methods; design science

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Guest Editor

Special Issue Information

Dear Colleagues

Energy systems and particularly power systems, as critical infrastructures, are of supreme importance to society. The current major developments, namely, the evolving producer and consumer structures and characteristics as well as the dynamics of ICT innovations and smart solutions, threaten the operation of power systems. If we fail to make the new digitalized power system at least as robust and resilient as the current system, the consequences could be drastic and a threat to society. Such a concern would severely obstruct the progress of energy-system transformation and, subsequently, the businesses working towards sustainable energy solutions. How can we improve the ability of cyber-physical energy systems (CPES) to respond to rare, hard-to-predict and unexpected disruptive events with large magnitudes and consequences, e.g., cyber attacks and extreme-weather events?

In order to answer this question, researchers and practitioners need to look closely at holistic methods and approaches that help us to understand, model and predict the behavior of the overall system and its components regarding the most important details, comprehend the relationships and interactions among them, and use the gained knowledge in the decision-making chain. In addition, innovative mitigation strategies are required to enhance the ability of the system to adapt and provide timely responses to complex disruptive events.

We invite you to contribute to this Special Issue, which includes (but is not limited to) the following topics:

  • The analytic monitoring and situational awareness of both ICT and power systems;
  • The modelling of complex events (e.g., cyber attacks, extreme-weather events, fires and cascaded events);
  • Systematic analyses of interdependent systems;
  • The modelling and analysis of human behavior and interaction in CPES;
  • Integrated mitigation and remedial strategies in CPES;
  • The application of digital real-time simulation in the validation and testing of system resilience;
  • Co-simulation methods for ICT and power systems.

We welcome studies that are technical, socio-technical or even social in nature that particularly promote the application of research methods based on qualitative, quantitative, design-science and critical approaches for the aforementioned topics.

Dr. Davood Babazadeh
Prof. Dr. Tero Vartiainen
Dr. Panos Kotsampopoulos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Infrastructures is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • resilience
  • smart city
  • smart grid
  • microgrid
  • digitalization, multi-domain simulation
  • data-driven modelling
  • artificial intelligence
  • analytical monitoring
  • situational awareness
  • cyber security
  • distributed control
  • cyber-physical energy systems

Published Papers (2 papers)

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Research

17 pages, 836 KiB  
Article
Holistic Simulation Approach for Optimal Operation of Smart Integrated Energy Systems under Consideration of Resilience, Economics and Sustainability
by Kai Hoth, Tom Steffen, Béla Wiegel, Amine Youssfi, Davood Babazadeh, Marcus Venzke, Christian Becker, Kathrin Fischer and Volker Turau
Infrastructures 2021, 6(11), 150; https://doi.org/10.3390/infrastructures6110150 - 23 Oct 2021
Cited by 7 | Viewed by 2214
Abstract
The intermittent energy supply from distributed resources and the coupling of different energy and application sectors play an important role for future energy systems. Novel operational concepts require the use of widespread and reliable Information and Communication Technology (ICT). This paper presents the [...] Read more.
The intermittent energy supply from distributed resources and the coupling of different energy and application sectors play an important role for future energy systems. Novel operational concepts require the use of widespread and reliable Information and Communication Technology (ICT). This paper presents the approach of a research project that focuses on the development of an innovative operational concept for a Smart Integrated Energy System (SIES), which consists of a physical architecture, ICT and energy management strategies. The cellular approach provides the architecture of the physical system in combination with Transactive Control (TC) as the system’s energy management framework. Independent dynamic models for each component, the physical and digital system, operational management and market are suggested and combined in a newly introduced co-simulation platform to create a holistic model of the integrated energy system. To verify the effectiveness of the operational concept, energy system scenarios are derived and evaluation criteria are suggested which can be employed to evaluate the future system operations. Full article
(This article belongs to the Special Issue Resilient Strategies in Cyber-Physical Energy Systems)
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13 pages, 1360 KiB  
Article
Optimal Temperature-Based Condition Monitoring System for Wind Turbines
by Payam Teimourzadeh Baboli, Davood Babazadeh, Amin Raeiszadeh, Susanne Horodyvskyy and Isabel Koprek
Infrastructures 2021, 6(4), 50; https://doi.org/10.3390/infrastructures6040050 - 26 Mar 2021
Cited by 9 | Viewed by 2730
Abstract
With the increasing demand for the efficiency of wind energy projects due to challenging market conditions, the challenges related to maintenance planning are increasing. In this paper, a condition-based monitoring system for wind turbines (WTs) based on data-driven modeling is proposed. First, the [...] Read more.
With the increasing demand for the efficiency of wind energy projects due to challenging market conditions, the challenges related to maintenance planning are increasing. In this paper, a condition-based monitoring system for wind turbines (WTs) based on data-driven modeling is proposed. First, the normal condition of the WTs key components is estimated using a tailor-made artificial neural network. Then, the deviation of the real-time measurement data from the estimated values is calculated, indicating abnormal conditions. One of the main contributions of the paper is to propose an optimization problem for calculating the safe band, to maximize the accuracy of abnormal condition identification. During abnormal conditions or hazardous conditions of the WTs, an alarm is triggered and a proposed risk indicator is updated. The effectiveness of the model is demonstrated using real data from an offshore wind farm in Germany. By experimenting with the proposed model on the real-world data, it is shown that the proposed risk indicator is fully consistent with upcoming wind turbine failures. Full article
(This article belongs to the Special Issue Resilient Strategies in Cyber-Physical Energy Systems)
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