Master control program simulation test system and method for wind power generation
A technology of simulation test and main control program, applied in the field of simulation signals, can solve problems such as unreal data, inability to simulate complex algorithms, and inaccurate effects of turbulence, and achieve the effect of reducing implementation costs.
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Embodiment 1
[0052] Such as figure 2 As shown, the wind farm operation program module modifies the pitch control strategy, and iterative simulation tests need to be carried out on the new control strategy until the modified control strategy meets the actual operation conditions.
[0053] Take the pitch control simulation test as an example: the input signals are wind speed and direction and real-time pitch angle, and the real-time speed is simulated through the aerodynamic model. Set the target speed, input the real-time pitch angle and real-time speed at the same time, output the target pitch angle through the simulation of the pitch control strategy, and adjust the pitch through the pitch actuator to stabilize the real-time wind rotor speed within the target wind rotor speed range , to achieve pitch control. Among them, the pitch actuator forms a pitch closed-loop control.
[0054] combine figure 2 and image 3 As shown, the specific test process of the pitch control simulation is ...
Embodiment 2
[0069] Such as Figure 4 Shown is a schematic diagram of the temperature control strategy of the generator. The temperature rise model in the component model is simulated and run, and the mechanical data is converted into temperature data or electrical data.
[0070] For example, as Figure 4 As shown, the control strategy of the temperature rise model is:
[0071] The generator temperature rise model is simulated and run to generate temperature data, and the generator temperature rise model outputs the generator temperature; the generator cooling control logic or generator heating control logic compares the output generator temperature with the target operating range: if If the temperature exceeds the target operating range, the cooling action will be implemented; if the temperature is lower than the target operating range, the heating action will be implemented; after cooling or heating, the execution result will be fed back to the generator temperature rise model.
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