Wind Turbine Micro-Siting and Genetic Algorithms Quiz
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Questions and Answers

Match the following with their roles in wind energy research:

Wind turbines = Key technology for wind farm configuration Genetic algorithms = Optimal micro-siting of wind turbines Weibull function = Describing wind speed distribution Turbine speed-power curve = Estimating turbine power generation

What is formulated into an optimal control framework for wind farm micro-siting?

  • Simple wind models
  • Weibull function
  • Turbine power generation
  • Improved wind and turbine models (correct)

How is the cost per unit energy of the wind farm minimized in the paper?

  • Binary-encoded genetic algorithm (correct)
  • Particle swarm optimization
  • Linear programming
  • Simulated annealing

What is employed to estimate turbine power generation in the paper?

<p>Turbine speed-power curve (C)</p> Signup and view all the answers

What do the simulation results indicate about the proposed method?

<p>It could provide better performance and represents a more realistic and effective strategy (B)</p> Signup and view all the answers

Match the following with their roles in wind farm micro-siting:

<p>Weibull function = Describing wind speed distribution Turbine speed-power curve = Estimating turbine power generation Binary-encoded genetic algorithm = Solving optimal control framework Improved wind and turbine models = Formulated into optimal control framework</p> Signup and view all the answers

What is used to describe the probability of wind speed distribution in the paper?

<p>Weibull function (C)</p> Signup and view all the answers

Match the following with their roles in the proposed method:

<p>Weibull function = Describing wind speed distribution Turbine speed-power curve = Employed to estimate turbine power generation Improved wind and turbine models = Formulated into an optimal control framework Binary-encoded genetic algorithm = Solving the optimal micro-siting problem</p> Signup and view all the answers

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