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    Online Monitoring of Power System Small Signal Stability Using Artificial Neural Networks
    Shifting paradigms in electrical power generation, transmission and consumption will affect system dynamics and may negatively influence its small signal stability in the long run. A smaller stability margin calls for smart methods to monitor the current state of the power system to be able to detect critical situations immediately. This paper proposes a method based on artificial neural networks that is capable of providing an online supervision service, which works in real-time due to its low demand for computational resources. Additionally, the requirements regarding system state information of such a monitoring system are investigated to assess the measurement and communication setup necessary for its proper functionality and thus its applicability to real power systems.
    Publicationtype: Conference Paper
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    Item type:Publication, Access status: with files ,
    Increasing tightness by introduction of intertemporal constraints in MILP unit commitment
    Flexibility requirements of controllable units in energy systems increase with high shares of volatile renewable energy (VRE) production. In this work, an existing unit commitment optimisation, formulated as mixed-integer linear problem (MILP) for energy systems is extended with intertemporal constraints to achieve a more realistic and detailed portrayal of the producer park against the backdrop of need for higher flexibilities. Those extensions mainly consider start-up times as well as minimum operating and standstill periods from a technical perspective, which are associated with rising complexity as well as tightness of the MILP. A small-scale energy system designed as a single copper plate with island restrictions, consisting of a conventional power plant, a short-term and a long-term energy storage and a VRE producer park is used to investigate the effects of the integrated intertemporal constraints. The study shows, that unit commitment is widely influenced by these extensions and the scattering of units, observed in the reference system without these extensions, is eliminated. The number of starts and operating hours therefore results in a more realistic unit commitment. Even though the equation numbers of the MILP increases drastically, the computation time is lowered significantly.
    Publicationtype: Conference Paper
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