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Performance and design optimization of two model based wave energy permanent magnet linear generators

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  • Rao, K.S. Rama
  • Sunderan, T.
  • Adiris, M. Ref'at

Abstract

Linear generators are a quickly growing segment of renewable ocean wave energy converters. This paper presents the modeling, simulation and optimal design of two types of permanent magnet linear generators for generating 3-phase voltages based on finite element analysis and intelligent design optimization techniques. Each generator stator and rotor configurations are modeled by using Computer Aided Three Dimensional Interactive Application software and the magnetic field simulation studies are carried out by using finite element method software ANSYS. Two intelligent evolutionary methods, Scatter Search optimization and Particle Swarm Optimization techniques are employed on design analysis programs which are developed by using Visual C++ software to derive optimal design parameters of the linear generator models. Simulation results show the effective exploration of the design and analysis objectives.

Suggested Citation

  • Rao, K.S. Rama & Sunderan, T. & Adiris, M. Ref'at, 2017. "Performance and design optimization of two model based wave energy permanent magnet linear generators," Renewable Energy, Elsevier, vol. 101(C), pages 196-203.
    • Handle: RePEc:eee:renene:v:101:y:2017:i:c:p:196-203
    DOI: 10.1016/j.renene.2016.07.019
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    References listed on IDEAS

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    1. Willard I. Zangwill, 1967. "Non-Linear Programming Via Penalty Functions," Management Science, INFORMS, vol. 13(5), pages 344-358, January.
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    Cited by:

    1. Sandra Eriksson, 2019. "Design of Permanent-Magnet Linear Generators with Constant-Torque-Angle Control for Wave Power," Energies, MDPI, vol. 12(7), pages 1-19, April.
    2. Raju Ahamed & Kristoffer McKee & Ian Howard, 2022. "A Review of the Linear Generator Type of Wave Energy Converters’ Power Take-Off Systems," Sustainability, MDPI, vol. 14(16), pages 1-42, August.

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