Genetic Algorithm Based Approximation of Wind Turbine System State Subjected to Bound Wind Speed Disturbances
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Date
2016-04
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Addis Ababa University
Abstract
Presently there is a growing energy demand usually covered by energy sources such as fossil
fuel, coal and natural gas, which have been the basis for growth and development of the
people since the beginning of 20th century. Wind is an intermittent generation resource and
weather changes can cause large and rapid changes in output, system operators will need
accurate and robust wind energy forecasting systems in the future.
Main defects in wind turbine are the emergence of an unanticipated outcome which are not
considered during the design of the blade. The turbine is generally described by wind speed
inputs and power output which represent the internal state of the wind turbine. Turbine
disturbances can always exist in small or large scale depending on the environment of the
system. The disturbances may be results of wrong measurement (unnecessary input
insertion), or it can be the result of unnecessary (not optimal) power output, instrumental
defect.
Using a mathematical model of non-linear systems such as model to analyze different
possible disturbances by wind speed on the wind turbine power output with one interval for
each parent in a given time. In each generation, the fitness of every individual in the power
output is evaluated, multiple individuals are stochastically selected from the current power
output (based on their fitness), and modified (recombined and possibly randomly mutated) to
form a new power output. The new power output is then used in the next iteration of the
algorithm.
The aim of this paper is to design a genetic algorithm based system state approximation
mechanism for the wind turbine for which disturbances are assumed to be random defects,
whose values are in a known limited intervals.
Genetic algorithm approach is a proficient approach for modeling the power systems that
inspired their design and proposes to find out best solutions of the problems with any
mathematical equations.
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