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Št. zadetkov: 4
Optimal ensemble-based framework for ground-fault protection in radial MV distribution networks with resonant grounding☆
Boštjan Polajžer, Younes Mohammadi, Thomas Olofsson, Gorazd Štumberger
Izvirni znanstveni članek
Oznake: resonančno ozemljena omrežja;rele za ozemljitveno napetost;visokoimpedančne napake;učenje v ansamblu;izbira optimalne značilnosti;resonant grounded networks;ground-fault relay;high-impedance faults;ensemble-based learning;optimal feature selection;
Ground fault relays (GFRs) in resonant-grounded medium voltage distribution networks shall not operate during phase-to-ground (Ph-G) fault inception, allowing the Petersen coil to suppress self-extinguishing faults, but the designated GFR must operate during permanent faults. In order to enhance the ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Quantifying power system frequency quality and extracting typical patterns within short time scales below one hour
Younes Mohammadi, Boštjan Polajžer, Roberto Chouhy Leborgne, Davood Khodadad
Izvirni znanstveni članek
Oznake: močnostni sistemi;statistika;strojno učenje;energetski sistemi;quantifying power system frequency quality;statistical indices;pattern extracting;machine learning;short time scales;renewable energy sources;
This paper addresses the lack of consideration of short time scales, below one hour, such as sub-15-min and sub1-hr, in grid codes for frequency quality analysis. These time scales are becoming increasingly important due to the flexible market-based operation of power systems as well as the rising ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Most influential feature form for supervised learning in voltage sag source localization
Younes Mohammadi, Boštjan Polajžer, Roberto Chouhy Leborgne, Davood Khodadad
Izvirni znanstveni članek
Oznake: močnostni sistemi;električna napetost;nadzorovano učenje;nenadzorovano učenje;voltage sag (dip);source localization;supervised and unsupervised learning;convolutional neural network;time-sample-based features;
The paper investigates the application of machine learning (ML) for voltage sag source localization (VSSL) in electrical power systems. To overcome feature-selection challenges for traditional ML methods and provide more meaningful sequential features for deep learning methods, the paper proposes th ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Investigating winter temperatures in sweden and norway: potential relationships with climatic indices and effects on electrical power and energy systems
Younes Mohammadi, Aleksey Palstev, Boštjan Polajžer, Seyed Mahdi Miraftabzadeh, Davood Khodadad
Izvirni znanstveni članek
Oznake: zimske temperature;antlantski ocean;električni sistemi;energetski sistemi;winter temperatures;biogas;Atlantic Meridional Overturning Circulation;AMOC;weaking;NAO;North Atlantic Oscillation;SSA;Singular Spectrum Analysis;electrical power and energy systems;
This paper presents a comprehensive study of winter temperatures in Norway and northern Sweden, covering a period of 50 to 70 years. The analysis utilizes Singular Spectrum Analysis (SSA) to investigate temperature trends at six selected locations. The results demonstrate an overall long-term rise i ...
Leto: 2023 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Št. zadetkov: 4
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