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Optimization based higher order sliding mode controller for efficiency improvement of a wave energy converter

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  • Suchithra, R.
  • Ezhilsabareesh, K.
  • Samad, Abdus

Abstract

This paper deals with the efficiency maximization of a wave energy converter (WEC). The WEC is an oscillating water column (OWC) device and drives a permanent magnet synchronous generator (PMSG) through a bidirectional flow impulse-turbine. The converter faces challenges such as large peak-to-average power ratio, low overall efficiency, and inefficient energy absorption for regular and irregular sea states. In this context, a higher order sliding mode controller (HOSMC) was proposed, and its gains were optimized to control through the best efficiency point tracking (BEPT) of the turbine. The flow through the turbine-passage was simulated by the computational fluid dynamics (CFD) technique, and the BEPT characteristics were obtained. An adaptive inertia-weight particle-swarm algorithm and a grouped grey-wolf algorithm were used for optimization. The Optimized HOSMC reduced chattering, minimized the reaching time and improved the mean efficiency by about 67% compared to the uncontrolled cases. In addition, the relative improvement of the mean efficiency was at least 4.8% compared to conventional controllers. The controller reduced the peak-to-average power ratio of at least 35.6% relative to the uncontrolled case of the turbine under different sea states.

Suggested Citation

  • Suchithra, R. & Ezhilsabareesh, K. & Samad, Abdus, 2019. "Optimization based higher order sliding mode controller for efficiency improvement of a wave energy converter," Energy, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:energy:v:187:y:2019:i:c:s0360544219318067
    DOI: 10.1016/j.energy.2019.116111
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    References listed on IDEAS

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    Cited by:

    1. Das, Tapas K. & Kumar, Kumud & Samad, Abdus, 2020. "Experimental Analysis of a Biplane Wells Turbine under Different Load Conditions," Energy, Elsevier, vol. 206(C).
    2. Kelkoul, Bahia & Boumediene, Abdelmadjid, 2021. "Stability analysis and study between classical sliding mode control (SMC) and super twisting algorithm (STA) for doubly fed induction generator (DFIG) under wind turbine," Energy, Elsevier, vol. 214(C).

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