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Search results for: POWER SWING DETECTION

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Search results for: POWER SWING DETECTION

  • Katedra Elektroenergetyki

    * ochrona i bezpieczeństwo pracy systemu elektroenergetycznego, * stabilność sterowanie pracą systemu elektroenergetycznego, * kompleksowe modelowanie systemów elektroenergetycznych oraz szczegółowe modele elementów systemu, * urządzenia FACTS i systemy HVDC w systemach elektroenergetycznych, * odnawialne źródła energii w systemach elektroenergetycznych, * urządzenia i instalacje elektryczne, * optymalizacja struktury i parametrów...

  • Katedra Elektrotechniki, Systemów Sterowania i Informatyki

    W Katedrze Elektrotechniki, Systemów Sterowania i Informatyki prowadzone są badania w tematyce podstaw elektrotechniki, zaawansowanych systemów sterowania, prototypowania dedykowanych rozwiązań sprzętowych w FPGA. Prowadzone badania skupiają się również na wykorzystaniu zaawansowanych technik analizy komputerowej w systemach sterowania oraz elektrotechniki.

  • Zespół Systemów Mikroelektronicznych

    * projektowania I optymalizacji układów i systemów mikroelektronicznych * zaawansowane metody projektowania i optymalizacji analogowych filtrów aktywnych * programowanie układów scalonych (FPGA, CPLD, SPLD, FPAA) * układy specjalizowane ASIC * synteza systemów o małym poborze mocy * projektowanie topografii układów i zagadnień kompatybilności elektromagnetycznej * modelowania przyrządów półprzewodnikowych * modelowania właściwości...

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Search results for: POWER SWING DETECTION

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Search results for: POWER SWING DETECTION

  • Performance analysis of power swing blocking feature in ABB 670 series impedance relays

    Publication

    - Acta Energetica - Year 2012

    This paper presents test results of a distance protection’s PSD power swing detection feature in ABB 670 series relays. A RED670 relay was tested, which is part of the hydroelectric set protection in Żarnowiec Pumped Storage Plant. The power swing blocking feature’s performance was analysed on the basis of the results of object tests made with an Omicron digital tester. Also presented are simulation results that illustrate the...

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  • Fault detection in measuring systems of power plants

    Publication

    This paper describes possibility of forming diagnostic relations based on application of the artifical neural networks (ANNs), intended for the identifying of degradation of measuring instruments used in developed power systems. As an example a steam turbine high-power plant was used. And, simulative calculations were applied to forming diagnostic neural relations. Both degradation of the measuring instruments and simultaneously...

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  • Autoencoder application for anomaly detection in power consumption of lighting systems

    Publication

    - IEEE Access - Year 2023

    Detecting energy consumption anomalies is a popular topic of industrial research, but there is a noticeable lack of research reported in the literature on energy consumption anomalies for road lighting systems. However, there is a need for such research because the lighting system, a key element of the Smart City concept, creates new monitoring opportunities and challenges. This paper examines algorithms based on the deep learning...

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  • Damage Detection Strategies in Structural Health Monitoring of Overhead Power Transmission System

    Publication

    Overhead power transmission lines, their supporting towers, insulators and other elements create a highly distributed system that is vulnerable to damage. Typical damage scenarios cover cracking of foundation, breakage of insulators, loosening of rivets, as well as cracking and breakage of lines. Such scenarios may result from various factors: groundings, lightning strikes, floods, earthquakes, aeolian vibrations, conductors galloping,...

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  • Fault detection and diagnostics of complex dynamic systems using Gaussian Process Models - nuclear power plant case study

    Publication

    - Year 2023

    The article examines the use of Gaussian Process Models to simulate the dynamic processes of a Pressurized Water nuclear Reactor for fault detection and diagnostics. The paper illustrates the potential of Gaussian Process Models as a tool for monitoring and predicting various fault conditions in Pressurized Water nuclear Reactor power plants, including reactor coolant flow and temperature variations, deviations from nominal working...

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