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Optimal Design of Permanent Magnet Vernier Generator for Wind Power Plants Application

Esmailoghli, Habib | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53821 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Boroushaki, Mehrdad
  7. Abstract:
  8. In recent decades, renewable energy resources (especially wind power as the fastest-growing energy source) have increasingly been employed for providing electrical energy all over the world given to the rising energy demands, reduction in non-renewable fossil fuels as well as severe restrictions applied to the utilization of these fuels because of their contribution in environmental pollution, generating greenhouse gas emissions, and consequently earth warming. The main factors in the development of wind energy systems to date are the easy access to this energy source in all seasons and its cost-effectiveness compared to other counterparts. One of the key components utilized for converting wind energy to electricity is the wind turbine generator; hence, electrical machines should be developed to improve power quality, the efficiency of the turbine, and cost-effectiveness. Among the various topologies of generators for low-speed direct-drive applications such as wind turbines, vernier permanent magnet generators due to having high torque density and high efficiency are suitable candidates. Double stator spoke-array vernier permanent magnets generator is an improved topology of vernier permanent magnet generators which has high torque density and power factor in low-speed applications. The purpose of this research, the optimal design of a double stator spoke-array vernier permanent magnets generator for wind power application. An important challenge in vernier permanent magnet generators is their high weight and volume and cogging torque. This paper tries to find an optimal design of the double stator spoke-array vernier permanent magnets generator with the aim of reducing the total volume and cogging torque. For this purpose, proposed a multi-objective optimization based on nondominated sorting genetic algorithm II (NSGA-II) which a powerful and improved Multi-objective evolutionary algorithm. The optimization result evaluated based on the finite element method (FEM)
  9. Keywords:
  10. Wind Turbine ; Finite Element Method ; Optimization ; Genetic Algorithm ; Permanent Magnet Verner Generators ; Non-Dominate Sorting Genetic Algorithm (NSGAII) Method ; Direct Driven Wind Turbine

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