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  • As far as synchronized phasor measurement systems have emerged as a powerful tool to improve power systems performance and reliability and e.g. fault localization possibility, the need of precise, robust and fast method of phasor identification occurred. The authors present the SW and HW implementation of their original mathematical method of frequency and phase angle assessment. Statistical methods minimizing standard deviation of moving averages of the window lengths corresponding to possible frequency values for frequency assessment and numerical quadrature for phasor are used. The algorithm has been developed and tested using Mathematica SW. Microchip implementation using C language was realized and tested in laboratory conditions.
  • As far as synchronized phasor measurement systems have emerged as a powerful tool to improve power systems performance and reliability and e.g. fault localization possibility, the need of precise, robust and fast method of phasor identification occurred. The authors present the SW and HW implementation of their original mathematical method of frequency and phase angle assessment. Statistical methods minimizing standard deviation of moving averages of the window lengths corresponding to possible frequency values for frequency assessment and numerical quadrature for phasor are used. The algorithm has been developed and tested using Mathematica SW. Microchip implementation using C language was realized and tested in laboratory conditions. (en)
Title
  • Advanced Method of Phasors Identification in Electrical Grids
  • Advanced Method of Phasors Identification in Electrical Grids (en)
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  • Advanced Method of Phasors Identification in Electrical Grids
  • Advanced Method of Phasors Identification in Electrical Grids (en)
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  • RIV/68407700:21230/12:00200062!RIV13-MSM-21230___
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  • 121185
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  • RIV/68407700:21230/12:00200062
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  • Phasor detection; function minimization; noised signal; signal sampling; standard deviation (en)
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  • [830D6F066387]
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  • Brno
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  • Brno
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  • Proceedings of the 13th International Scientific Conference EPE 2012
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  • Kyncl, Jan
  • Müller, Miroslav
  • Müller, Zdeněk
  • Švec, Jan
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  • Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
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  • 978-80-214-4514-7
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  • 21230
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