Research On Dynamic Simulation Technology Of Wind Turbine Joint Control

Wind power industry has been developing rapidly in recent years as the inexhaustibleand renewable wind energy. With the rapid development of wind power technology, VSCFdoubly-fed wind turbine consisted of mainstream models of wind power. The controlsystem of VSCF doubly-fed wind turbine as the core of the entire plant operation,contacting with other components closely, which precise control and perfect functionensure the unit operates safely, stably and efficiently.This thesis analyzed the working principle, system architecture and the maximumwind energy capture process of VSCF doubly-fed wind turbine. Studing the mainstreamcontrollers of doubly-fed wind turbine: torque controller and pitch controller. On the basisof the pitch of the basic PID controller, designing a PI controller which is based on thepitch angle adjustable gain. And verified the control effect of the controller is better thanthe conventional PI controller in master bench. According to the master system controltasks and hardware performance, choosing a Siemens IPC427C as hardware infrastructureof main controller, ET200S as a remote IO sub-station which mainly responsible forcollecting the master system peripheral signals. The main function of software according tothe master system requirements was designed and the corresponding control flow chartgiven.Researching the programs to meet the requirements of its main control systemprogram. The main input/output modules are tested and got good effect which proved themaster system programm used in this experiment station was successfully. Based onmain control system dynamic simulation bench, designing interactive interface withSIMATIC WinCC Flexible2008, real-time monitoring pitch bench running parameters,Main controller communicate with prepared3D simulation models of wind turbine. It canbe more intuitive to observe the wind turbines pitch, yaw, gearboxes, generators and otherreal-time status.Researching the PID controller principle of BP neural network, an improved BPneural network PID parameter self-tuning controllers about control system for pitch control links has been proposed. To correct weights and thresholds of BP network by usingimproved rail gradient method which realized BP neural network PID control tuning online.A simulation about the pitch controller performance above the rated wind speed achievedthe goal of constant power control above rated wind speed.According to electric pitch system control tasks and hardware performance, choose aSiemens PLC as the main controller hardware. Selecting and configurating about input andoutput signals for Siemens PLC hardware and peripheral. Researching the main features ofthe software according to pitch system requirements and developing a remote monitoringsystem which real-time monitoring pitch bench running parameters.According to analyzingthe results of experiments and Bladed simulation results comparatively, the pitchingmoment load design used in this experiment station is proved correctly.