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Comparative study of speed estimators with highly noisy measurement signals for Wind Energy Generation Systems

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  • Carranza, O.
  • Figueres, E.
  • Garcerá, G.
  • Gonzalez, L.G.

Abstract

This paper presents a comparative study of several speed estimators to implement a sensorless speed control loop in Wind Energy Generation Systems driven by power factor correction three-phase boost rectifiers. This rectifier topology reduces the low frequency harmonics contents of the generator currents and, consequently, the generator power factor approaches unity whereas undesired vibrations of the mechanical system decrease. For implementation of the speed estimators, the compared techniques start from the measurement of electrical variables like currents and voltages, which contain low frequency harmonics of the fundamental frequency of the wind generator, as well as switching frequency components due to the boost rectifier. In this noisy environment it has been analyzed the performance of the following estimation techniques: Synchronous Reference Frame Phase Locked Loop, speed reconstruction by measuring the dc current and voltage of the rectifier and speed estimation by means of both an Extended Kalman Filter and a Linear Kalman Filter.

Suggested Citation

  • Carranza, O. & Figueres, E. & Garcerá, G. & Gonzalez, L.G., 2011. "Comparative study of speed estimators with highly noisy measurement signals for Wind Energy Generation Systems," Applied Energy, Elsevier, vol. 88(3), pages 805-813, March.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:3:p:805-813
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    References listed on IDEAS

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    Cited by:

    1. Jaalam, N. & Rahim, N.A. & Bakar, A.H.A. & Tan, ChiaKwang & Haidar, Ahmed M.A., 2016. "A comprehensive review of synchronization methods for grid-connected converters of renewable energy source," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1471-1481.
    2. Ganesh Mayilsamy & Kumarasamy Palanimuthu & Raghul Venkateswaran & Ruban Periyanayagam Antonysamy & Seong Ryong Lee & Dongran Song & Young Hoon Joo, 2023. "A Review of State Estimation Techniques for Grid-Connected PMSG-Based Wind Turbine Systems," Energies, MDPI, vol. 16(2), pages 1-27, January.
    3. Carranza, O. & Figueres, E. & Garcerá, G. & Gonzalez-Medina, R., 2013. "Analysis of the control structure of wind energy generation systems based on a permanent magnet synchronous generator," Applied Energy, Elsevier, vol. 103(C), pages 522-538.
    4. Bouzgou, Hassen & Benoudjit, Nabil, 2011. "Multiple architecture system for wind speed prediction," Applied Energy, Elsevier, vol. 88(7), pages 2463-2471, July.
    5. Yang, Ting & Pen, Haibo & Wang, Dan & Wang, Zhaoxia, 2016. "Harmonic analysis in integrated energy system based on compressed sensing," Applied Energy, Elsevier, vol. 165(C), pages 583-591.
    6. Zhang, Dayu & Chai, Kaixin & Guo, Penghua & Hu, Qiao & Li, Jingyin & Shams, Ayesha, 2024. "A novel full-process test bench for deep-sea in-situ power generation systems," Energy, Elsevier, vol. 297(C).

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