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Three-phase asynchronous wind power plant

  • This example shows a model of a wind power plant (wind turbine) powered by a grid.
  • Asynchronous machine with a closed-loop rotor P = 150 kW is used as a wind turbine generator. Unlike synchronous machines, they have high reliability, simplicity of design and low weight, which is necessary to increase the reliability of a wind turbine.
  • The asynchronous generator is connected to the mains and operates on a local load of P = 75 kW. When the generator produces more than 75 kW, the excess power is transferred to the grid. The asynchronous generator consumes reactive power, so a capacitor bank Q = 90 kVar is connected to its buses.
  • The wind turbine is modeled using the Engee Function block, (https://engee.com/helpcenter/stable/base-lib-user-defined-function/engee-function.html ) reflecting the dependence of power on wind speed. Depending on the wind speed, it is taken into account that when the wind speed is below the minimum operating speed of 3 m/s or above the maximum operating speed of 23 m/s (storm shutdown), the power generated by the wind turbine is zero.

General view of the model

asynchronous_wind_turbine_generator.png

Implementation of the model launch using software control:

Loading the model:

In [ ]: 
model_name = "asynchronous_wind_turbine_generator"
model_name in [m.name for m in engee.get_all_models()] ? engee.open(model_name) : engee.load( "$(@__DIR__)/$(model_name).engee");

Launching the uploaded model:

In [ ]: 
results = engee.run(model_name)
Out[0]:
Dict{String, DataFrame} with 4 entries:
  "Скорость ветра, м/с"       => 3001×2 DataFrame…
  "Реактивная мощность, о.е." => 3001×2 DataFrame…
  "Механическая мощность, Вт" => 3001×2 DataFrame…
  "Активная мощность, о.е."   => 3001×2 DataFrame…

Simulation results

Importing simulation results:

In [ ]: 
simulation_time = results["Скорость ветра, м/с"].time;
wind_speed = results["Скорость ветра, м/с"].value;
mechanical_power = results["Механическая мощность, Вт"].value;

Wind speed:

In [ ]: 
gr();
plot(simulation_time, wind_speed)
plot!(title = "Скорость ветра, м/с", ylabel = "Скорость ветра, м/с", xlabel="Время, c")
Out[0]:

Mechanical power on the wind turbine shaft:

In [ ]: 
plot(simulation_time, mechanical_power)
plot!(title = "Механическая мощность, Вт", ylabel = "Механическая мощность, Вт", xlabel="Время, c")
Out[0]:

Conclusions:

In this example, tools for command control of a wind turbine model with a simulation duration of 60 seconds were used. The simulation results were imported into a script and visualized using interactive graphs from the Plots library.

Blocks used in example