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A comparative study of three different sensorless vector control strategies for a Flywheel Energy Storage System

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  • Boukettaya, Ghada
  • Krichen, Lotfi
  • Ouali, Abderrazak

Abstract

The aim of this paper is to ensure the sensorless control of an inertial storage system associated to an isolated Hybrid Energy Production Unit (HEPU). The Flywheel Energy Storage System (FESS) is used as energy buffers in order to store or retrieve energy into a stand-alone load. A comparative study of three different techniques based on a sensorless vector-controlled induction motor (IM) driving a flywheel are presented. First, a speed estimation algorithm based on model reference adaptive system (MRAS) theory is proposed. Then, a model reference adaptive speed observers is introduced in this paper with an accurate stability study. This observer strategy is then ameliorated with a new reduced adaptive speed observer. The observer parameters are adapted during flux weakening in order to obtain close tracking of the flywheel speed. The accuracy of the presented models is confirmed by simulation results.

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  • Boukettaya, Ghada & Krichen, Lotfi & Ouali, Abderrazak, 2010. "A comparative study of three different sensorless vector control strategies for a Flywheel Energy Storage System," Energy, Elsevier, vol. 35(1), pages 132-139.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:1:p:132-139
    DOI: 10.1016/j.energy.2009.09.003
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    1. Prasad, A. Rajendra & Natarajan, E., 2006. "Optimization of integrated photovoltaic–wind power generation systems with battery storage," Energy, Elsevier, vol. 31(12), pages 1943-1954.
    2. Suzuki, Y. & Koyanagi, A. & Kobayashi, M. & Shimada, R., 2005. "Novel applications of the flywheel energy storage system," Energy, Elsevier, vol. 30(11), pages 2128-2143.
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    2. Yu Jia & Zhenkui Wu & Jihong Zhang & Peihong Yang & Zilei Zhang, 2022. "Control Strategy of Flywheel Energy Storage System Based on Primary Frequency Modulation of Wind Power," Energies, MDPI, vol. 15(5), pages 1-14, March.
    3. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Bianchi, Fernando D., 2013. "Energy management of flywheel-based energy storage device for wind power smoothing," Applied Energy, Elsevier, vol. 110(C), pages 207-219.
    4. Li, Jianwei & Gee, Anthony M. & Zhang, Min & Yuan, Weijia, 2015. "Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model," Energy, Elsevier, vol. 86(C), pages 175-185.
    5. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    6. Boukettaya, Ghada & Krichen, Lotfi, 2014. "A dynamic power management strategy of a grid connected hybrid generation system using wind, photovoltaic and Flywheel Energy Storage System in residential applications," Energy, Elsevier, vol. 71(C), pages 148-159.
    7. Mohammad Reza, Alizadeh Pahlavani & Ali, Mohammadpour Hossine, 2010. "An optimized SVPWM switching strategy for three-level NPC VSI and a novel switching strategy for three-level two-quadrant chopper to stabilize the voltage of capacitors," Energy, Elsevier, vol. 35(12), pages 4917-4931.
    8. Xu, Ying & Ren, Li & Zhang, Zhongping & Tang, Yuejin & Shi, Jing & Xu, Chen & Li, Jingdong & Pu, Dongsheng & Wang, Zhuang & Liu, Huajun & Chen, Lei, 2018. "Analysis of the loss and thermal characteristics of a SMES (Superconducting Magnetic Energy Storage) magnet with three practical operating conditions," Energy, Elsevier, vol. 143(C), pages 372-384.
    9. Mohammad Reza, Alizadeh Pahlavani & Hossine Ali, Mohammadpour & Abbas, Shoulaie, 2010. "Voltage stabilization of VSI SMES capacitors and voltage sag compensation by SMES using novel switching strategies," Energy, Elsevier, vol. 35(8), pages 3131-3142.
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