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Analysis of Novel Flywheel Energy Storage System Based on Dual Stator Induction Machine Incorporated in Wind Energy Systems Using Intelligent Approach

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Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 35))

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Abstract

The important feature of wind energy is the fluctuation of the power produced over time. The stability of the network is based on the balance between production and consumption. For this, the idea of storage has been exploited. Owing of this, in first stage, an ANFIS controller is proposed for speed control in order to ensure the real-time tracking of the optimum operating point and MPPT giving online a maximum production of electric power for different wind speeds. In second stage, we present a new solution for the wind energy storage based on short term storage. This solution is based on the use of the intelligent flywheel based on fuzzy logic. The new Fuzzy FESS can be used not only to minimize wind power fluctuations, but also to adjust the frequency and the voltage of the grid during operating conditions. Simulation testes on a 1.5 MW DSIG system are given to illustrate the feature of control method and the large interest of energy storage in such WECS.

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Correspondence to Meriem Bouras or Katia Kouzi .

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Appendix. A Parameters

Appendix. A Parameters

DSIG: 1.5 MW, 400 V, 50 Hz, 2 pole pairs, \( R_{s1} = R_{s2} = 0.008\,{\text{X}} \), \( L_{1} = L_{2} = 0.134\,{\text{mH,}} \) \( L_{m} = 0.0045\,{\text{H}} \), \( R_{r} = 0.007\,{\text{X,}} \) \( L_{r} = 0.067\,{\text{mH}} \), \( {\text{J}} = 104\;{\text{kg}}\;{\text{m}}^{2} \left( {{\text{turbine}}\,{ + }\,{\text{Machine}}} \right), \) \( f_{r} = 2.5\;{\text{N}}\,{\text{m}}\,{\text{S/rd}}:\left( {{\text{turbine}} + {\text{Machine}}} \right). \)

$$ Turbine:{\text{Radius}} = 35\,{\text{m}},{\text{blades}} = 3,{\text{Hub}}\;{\text{height}} = 85\;{\text{m}}. $$

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Bouras, M., Kouzi, K. (2018). Analysis of Novel Flywheel Energy Storage System Based on Dual Stator Induction Machine Incorporated in Wind Energy Systems Using Intelligent Approach. In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_37

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  • DOI: https://doi.org/10.1007/978-3-319-73192-6_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73191-9

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