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Pregled bibliografske jedinice broj: 1003498

Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators


Lopac, Nikola; Bulić, Neven; Vrkić, Nikša
Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators // Energies, 12 (2019), 9; 1609, 22 doi:10.3390/en12091609 (međunarodna recenzija, članak, znanstveni)


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Naslov
Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators

Autori
Lopac, Nikola ; Bulić, Neven ; Vrkić, Nikša

Izvornik
Energies (1996-1073) 12 (2019), 9; 1609, 22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
wound rotor synchronous generator ; load angle ; sliding mode observer ; state estimation

Sažetak
Synchronous generator load angle is a fundamental quantity for power system stability assessment, with possible real-time applications in protection and excitation control systems. Commonly used methods of load angle determination require additional measuring equipment, while existing research on load angle estimation for wound rotor synchronous generator has been limited to the estimator based on the generator’s phasor diagram and estimators based on artificial neural networks. In this paper, a load angle estimator for salient-pole wound rotor synchronous generator, based on a simple sliding mode observer (SMO) which utilizes field current, stator voltages, and stator currents measurements, is proposed. The conventional SMO structure is improved with use of hyperbolic tangent sigmoid functions, implementation of the second order low-pass filters accompanied with corresponding phase delay compensation, and introduction of an adaptive observer gain proportional to the measured field current value. Several case studies conducted on a generator connected to a power system suggest that the proposed estimator provides an adequate accuracy during active and reactive power disturbances during stable generator operation, outperforming the classical phasor diagram-based estimator by reducing mean squared error by up to 14.10%, mean absolute error by up to 41.55%, and maximum absolute error by up to 8.81%.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Tehnički fakultet, Rijeka

Profili:

Avatar Url Neven Bulić (autor)

Avatar Url Nikola Lopac (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Lopac, Nikola; Bulić, Neven; Vrkić, Nikša
Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators // Energies, 12 (2019), 9; 1609, 22 doi:10.3390/en12091609 (međunarodna recenzija, članak, znanstveni)
Lopac, N., Bulić, N. & Vrkić, N. (2019) Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators. Energies, 12 (9), 1609, 22 doi:10.3390/en12091609.
@article{article, author = {Lopac, Nikola and Buli\'{c}, Neven and Vrki\'{c}, Nik\v{s}a}, year = {2019}, pages = {22}, DOI = {10.3390/en12091609}, chapter = {1609}, keywords = {wound rotor synchronous generator, load angle, sliding mode observer, state estimation}, journal = {Energies}, doi = {10.3390/en12091609}, volume = {12}, number = {9}, issn = {1996-1073}, title = {Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators}, keyword = {wound rotor synchronous generator, load angle, sliding mode observer, state estimation}, chapternumber = {1609} }
@article{article, author = {Lopac, Nikola and Buli\'{c}, Neven and Vrki\'{c}, Nik\v{s}a}, year = {2019}, pages = {22}, DOI = {10.3390/en12091609}, chapter = {1609}, keywords = {wound rotor synchronous generator, load angle, sliding mode observer, state estimation}, journal = {Energies}, doi = {10.3390/en12091609}, volume = {12}, number = {9}, issn = {1996-1073}, title = {Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators}, keyword = {wound rotor synchronous generator, load angle, sliding mode observer, state estimation}, chapternumber = {1609} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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