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Wind Turbine Micro-Siting and Genetic Algorithms Quiz

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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?

Turbine speed-power curve Signup and view all the answers

What do the simulation results indicate about the proposed method?

It could provide better performance and represents a more realistic and effective strategy Signup and view all the answers

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

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 Signup and view all the answers

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

Weibull function Signup and view all the answers

Match the following with their roles in the proposed method:

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 Signup and view all the answers