首页|University of Split Researchers Detail Research in Machine Learning (Machine Lea rning Classifier for Supporting Generator’s Impedance-Based Relay Protection Fun ctions)
University of Split Researchers Detail Research in Machine Learning (Machine Lea rning Classifier for Supporting Generator’s Impedance-Based Relay Protection Fun ctions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on ar tificial intelligence. According to news reporting from Split, Croatia, by NewsR x journalists, research stated, “Transient stability of the electric power syste m still heavily rests on a timely and correct operation of the relay protection of individual power generators.” The news reporters obtained a quote from the research from University of Split: “Power swings and generator pole slips, following network short-circuit events, can initiate false relay activations, with negative repercussions for the overal l system stability. This paper will examine the generator’s underimpedance (21G) and out-of-step (78) protection functions and will propose a machine learning b ased classifier for supporting and reinforcing their decision-making logic. The classifier, based on a support vector machine, will aid in blocking the underimp edance protection during stable generator swings. It will also enable faster tri pping of the out-of-step protection for unstable generator swings. Both protecti on functions will feature polygonal protection characteristics. Their implementa tion will be based on European practice and IEC standards.”
University of SplitSplitCroatiaEur opeCyborgsEmerging TechnologiesMachine Learning
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