Intelligent Current Control For The DFIG-WPGS Under Voltage Distortion On The Network Supply

Wind energy remained the essential and fastest-growing source of clean energy in the international economics;it contributes to solving the economic obstacle represented by the volatility of fossil fuel prices globally and sustainability issue.Integration of intelligent control has meaningfully enhanced the efficiency of multiple megawatt Wind Turbines(WT).Thus there is a great impetus to strive to further optimization approaches of wind power generation system(WPGS)performance.All the topics in this dissertation offer an intelligent rotor current-branch control(RBCC)related to the stator power behavior of the Doubly Fed Induction Generator(DFIG)-based WPGS.Further,the study suggest sliding mode control(SMC)and Proportional-integral(PI)strategies under four optimization approaches for improving the performance of WPGS.The mathematical derivation model of DFIG is also obtained based on synchronous dqreference frame.Firstly,a sliding mode control strategy like proportional-integral controller with resonant function regulator(PIR)is proposed(PIRSMC).This topic offers a control mechanism for the rotor current control concerning stator power signals under PIRSMC controller for the distorted DFIG-WPGS with varied behavior and control aims.Further,2 MW WPGS-DFIG is developed to validate the results of online tuned PIR controller using(BAT)Optimization Algorithm(PIR-OT-DBAT).Secondly,2MW DFIG-WPGS is developed in MATLAB/Simulink platform,and which is identified as a Recurrent Neural Network(RNN)to validate the results of online gains adaptation of SMC with resonant function(R)regulator using discrete adaptive Bird Swarm Optimization(ABSA).These two techniques are developed to control the distorted system variables by the main components and 5th-/7th-grade of harmonics components with several dynamic conditions and control targets.All techniques deal with+dq rotor current components,oscillated variables machine,which are handled by the proposed control methods with R,which is oscillated at six-times the main system frequency.Thirdly,the optimal sliding surface of SMC using the BAT-Algorithm(BAT-SSSMC)for the DFIG-WPG is designed.The RBCC based on BAT-SS-SMC is built to regulate DFIG-WPGS during many operation scenarios to meet the dynamic factors.The simulation results of BAT-SS-SMC for a 1.5 MW DFIG-WPGS are robust to give a superior dynamic performance,i.e.,lowest than 10%overshoot of rotor current and stator power and other dynamic characteristics of standard controllers.Furthermore,the BAT algorithm enhanced the global search and convergence of less than 10e-4 in tolerance region during iterations.Fourthly,a new rotor current control related to the stator active-and reactivepower(Ps-Qs)control is suggested using a sliding mode control via discrete Particle Swarm Optimization algorithm(RPSMC-PSO)based on the RNN for the non-linear DFIG-WPGS.Based on features of the low-degree Taylor approximation principle,RNN is re-constructed to simplify the optimization problem of the PSO to generate the optimal sliding switch signals.The main idea of this routine is to force the quasichatter behavior of SMC for the non-linear system to be close to the optimal sliding trajectory in a few steps and less calculation burden of the algorithm.Thus,the control law guarantees the general stability of the system and attenuates the unimportant chatter impacts.Fifthly,a predictive sliding mode strategy with a resonant function(PSMC-R)based on a low-degree Taylor approximation formula of RNN is proposed.PSMC-R predicts the perfect switching surface path and regulates the distorted non-linear DFIG with several dynamic aims.This approach reduces excessive chatter while violating the sliding surface path range of the classical SMC switch-part.The dynamic results of a 1.5 MW DFIG-WPGS are simulated using the Matlab package to present good dynamic performance,less pulsation ratio of variables,and optimal sliding chatter of PSMC-R during various operating scenarios.In a brief explanation,this study gives a new viewpoint and solution by combining classical control strategies with the optimization regulation mechanisms applied to the DFIG-WPGS during alteration between sub-and super-synchronous rotor-branch speed,uncertainties and harmonics series.The offered optimum regulation decision outcomes frameworks are feasibly compliant with public network codes.It is expected that it will be applied in DFIG processes under a high-scale configuration of wind turbine,severe weather and working failures to deliver the ideal power to develop the flexible,safe and economic running of DFIG-WPGS against the dynamic challenges.