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1 Model simplification and optimization of a passive wind turbine generator B. Sareni*, A. Abdelli, X. Roboam, D.H. Tran Speaker: Kuo-Hsien Chuang Date: 2009/11/24

1 Model simplification and optimization of a passive wind turbine generator B. Sareni*, A. Abdelli, X. Roboam, D.H. Tran Speaker: Kuo-Hsien Chuang Date:

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1

Model simplification and optimization of a passive wind

turbine generator

B. Sareni*, A. Abdelli, X. Roboam, D.H. Tran

Speaker: Kuo-Hsien Chuang

Date: 2009/11/24

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Introduction

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Introduction(cont.)

• Rotor diameter– A larger rotor captures more energy but cost

more.

• Generator capacity– The rotor diameter and generator capacity

must match one another

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Introduction(cont.)

• Hub height– Wind speeds increase with hub height but so

does the tower cost.

• Rotor blade design– The blades have a slight twist which can be o

ptimized to capturethe maximum amount of wind power.

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Introduction(cont.)

• Control Unit– Active or Passive

• Generator type– synchronous or asynchronous

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The small passive wind turbine system

• minimize the system cost and to maximize its reliability

• A minimum number of sensors and no control unit is required in this ‘‘low cost’’ structure.

• poor energetic efficiency

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Model simplification of the passive wind turbine system

• The reference model

• The equivalent DC model

• The mixed-reduced model

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Multiobjective optimization of the passive wind turbine

• Design veriables:

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Multiobjective optimization of the passive wind turbine(cont.)

• Objectives:– minimizing the total embedded mass of the

system.– Maximize the useful power

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Multiobjective optimization of the passive wind turbine(cont.)

• Constraints:

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The optimization process

• NSGA-II

• Pareto-dominance rule:– Non-feasible v.s. Non-feasible– Feasible v.s. Non-feasible– Feasible v.s. Feasible

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