Abstract
Wind energy is regarded as one of the oldest energy sources and has played a significant role. As the nature of wind changes continuously, the generated power varies accordingly. Generation of the pitch angle of a wind turbine’s blades is controlled to prevent damage during high wind speed. This paper presents the development and application of a fuzzy proportional integral control scheme combined with traditional proportional control in the dynamic behavior of pitch angle-regulated wind turbine blades. The combined control regulates rotor speed and output power, allowing control of the power while maintaining the desired rotor speed and avoiding equipment overloads. The studied model is a large-scale wind farm of 120 MW in the Gulf El-Zayt region, Red Sea, Egypt. The control system validity is substantiated by studying different cases of wind speed function: ramp, step, random, and extreme wind speed. The results are compared with the traditional combined control. The model is simulated using MATLAB/SIMULINK software. The simulation results proved the effectiveness of fuzzy tuned PI against traditional PI control.
Highlights
IntroductionThe pitch angles of all the turbine blades are controlled in the same manner unlike in the individual technique, where each blade pitch angle is controlled individually [5]
Many types of generators are used with wind turbines such as a doubly-fed induction generator (DFIG) and permanent magnet synchronous generator (PMSG)
Depending on the operating point of of the system, the fuzzy approach determines the best values for PI parameters and the the system, the fuzzy approach determines the best values for PI parameters and the outoutput of a pitch compensation loop added to the proportional pitch control to generate put of a pitch compensation loop added to the proportional pitch control to generate the the reference pitch angle
Summary
The pitch angles of all the turbine blades are controlled in the same manner unlike in the individual technique, where each blade pitch angle is controlled individually [5]. Those techniques can be employed electrically or by hydraulic drives. Some techniques have been developed to vary the parameter for many operating points, but wind speed needs to be measured accurately, which is very difficult To face these challenges, artificially intelligent control is applied to WECS for pitch control as this control can operate with non-linear models and overcome the uncertainties in WECS [7].
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