UB IlmenauIlmenau : Universitätsverlag Ilmenau, 2024. - xiv, 182 Seiten.
(Ilmenauer Beiträge zur elektrischen Energiesystem-, Geräte- und Anlagentechnik - IBEGA ; 39)
DOI 10.22032/dbt.61594
URN urn:nbn:de:gbv:ilm1-2024000223
Zugl.: Dissertation, Technische Universität Ilmenau, 2024
The energy transition is driving significant changes in Europe's transmission systems, emphasizing HVDC technology for long-distance transmission and necessitating the optimization of existing assets with new control. This thesis introduces an innovative approach for coordinating preventive and curative congestion management in electrical power systems.
It develops a novel optimization model that integrates preventive and curative measures through a SCOPF model using bilevel programming. A specialized hybrid solver based on the Differential Evolution algorithm addresses the model's computational challenges. Case studies evaluate the impact of combining curative actions with preventive measures, explore prioritization strategies, and assess cost and computational implications.
The research offers a framework to enhance the reliability and resilience of power systems, providing a valuable tool for operators and planners to manage the dynamic energy landscape efficiently and securely.
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https://nbn-resolving.org/urn:nbn:de:gbv:ilm1-2024000223