Now showing 1 - 4 of 4
  • Publication
    A novel framework for synchrophasor based online recognition and efficient post-mortem analysis of disturbances in power systems
    ( 2020)
    Kummerow, André
    ;
    Monsalve, Cristian
    ;
    Brosinsky, Christoph
    ;
    Nicolai, Steffen
    ;
    Westermann, Dirk
    Synchrophasor based applications become more and more popular in today's control centers to monitor and control transient system events. This can ensure secure system operation when dealing with bidirectional power flows, diminishing reserves and an increased number of active grid components. Today's synchrophasor applications provide a lot of additional information about the dynamic system behavior but without significant improvement of the system operation due to the lack of interpretable and condensed results as well as missing integration into existing decision-making processes. This study presents a holistic framework for novel machine learning based applications analyzing both historical as well as online synchrophasor data streams. Different methods from dimension reduction, anomaly detection as well as time series classification are used to automatically detect disturbances combined with a web-based online visualization tool. This enables automated decision-making processes in control centers to mitigate critical system states and to ensure secure system operations (e.g., by activating curate actions). Measurement and simulation-based results are presented to evaluate the proposed synchrophasor application modules for different use cases at the transmission and distribution level.
  • Publication
    Digital-Twin based Services for advanced Monitoring and Control of future power systems
    ( 2020)
    Kummerow, André
    ;
    Nicolai, Steffen
    ;
    Brosinsky, Christoph
    ;
    Westermann, Dirk
    ;
    Naumann, Andre
    ;
    As real-time applications in information technology (IT) and operational technology (OT) advance, new innovative concepts become possible. IT/OT convergence opens new pathways to design and operate intelligent cyber-physical systems, such as the Digital Twin (DT) concept, which has been discovered as key technology by several industries. This paper describes how centralized and decentralized DTs can help to monitor and control future power systems with special consideration of their interaction in case of corrupted communication from cyber-attacks. While the virtual representation of substations is regarded from the edge computing perspective the control room of the interconnected power system represents the centralized perspective. The concepts allows to have a system wide perspective, while also keeping detailed information at hand. The future system operator in the control room will benefit from services provided by DTs analytical and control features, rising resilience to cyber-physical anomalies and enhance situational awareness.
  • Publication
    PMU-based online and offline applications for modern power system control centers in hybrid AC-HVDC transmission systems
    ( 2019)
    Kummerow, André
    ;
    Brosinsky, Christoph
    ;
    Monsalve, Christian
    ;
    Nicolai, Steffen
    ;
    Bretschneider, Peter
    ;
    Westermann, Dirk
    This investigation presents new control center applications for the management of hybrid AC-DC transmission systems incorporating phasor measurements. This is done by the identification and extraction of critical events from historical and online measurement records as well as dynamic simulation data using artificial intelligence methods. The new control center applications provide a web-based dynamic monitoring interface for the operator assistance.
  • Publication
    Challenges and opportunities for phasor data based event detection in transmission control centers under cyber security constraints
    ( 2019)
    Kummerow, André
    ;
    Rösch, Dennis
    ;
    Monsalve, Christian
    ;
    Nicolai, Steffen
    ;
    Bretschneider, Peter
    ;
    Brosinsky, Christoph
    ;
    Westermann, Dirk
    The scope of this survey is the phasor based event detection under cyber security constraints in modern transmission control centers. A general concept for a physical and cyber event detection is developed as a combination of state-of-the-art disturbance classification and cyber-attack detection methods. This requires the incorporation of heterogeneous data sources and advanced data fusion and analysis techniques. An enhanced and robust recognition of the current grid situation is proposed to distinguish between different scheduled and unscheduled grid events. Furthermore, Digital Twins are considered as new promising technology for control centers and potential benefits for physical and cyber event detection are described.