Advanced prevention against icing on high voltage power lines
نویسندگان
چکیده
Historical meteorological data indicates, that our weather is becoming more and extreme. For the electrical utility operators (Distribution System Operators - DSOs Transmission TSOs), these changes arise in new operation challenges need to be addressed. example, frequent icing phenomenon affects all components of power line by a significant mechanical overload: it endangers conductors, insulators towers, as well. The result often fatal beside serious failures, effects on operators’ decisions. These not only endanger reliability grids loss for weeks or even months, but general, safety surroundings line. As technology advances, we will able collected, analyses predict very large databases field meteorology engineering. ability processing mentioned data, combined with know-how results capacity operate lines at their thermal limits during different ambient parameters. This called Dynamic Line Rating (DLR) – great way increase transmission given line, can also effectively used prevent, solve icing-related issues. Higher currents higher Joule-heats, consequently heat conductors. If reached approached, prevented. prevention possible, detection removal ice layer necessary. proper handling this issues, requires advanced algorithms (expert systems) reliable measuring equipment. combination synchronization between algorithms, service equipment key successful operation. An EU H2020 financed project FLEXITRANSTORE has just been launched develop cross-country co-operation, objective improve anti-icing de-icing solutions. To establish analyse solutions, includes several universities, TSOs DSOs. issues Budapest University Technology Economics’ (BME) developed an neural-network based algorithm which use OTLM system. It planned install demonstrate capabilities grid (Electro Ljubljana ELJ). Besides introduction DLR icing, paper focuses preparation/organisation co-operation companies universities.
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ژورنال
عنوان ژورنال: Energija
سال: 2022
ISSN: ['0354-8651', '2812-7528']
DOI: https://doi.org/10.37798/201867282