شماره ركورد كنفرانس :
1730
عنوان مقاله :
Intelligent Control of SSSC Via an Online Self- Tuning PID to Damp the Subsynchronous Oscillations
عنوان به زبان ديگر :
Intelligent Control of SSSC Via an Online Self- Tuning PID to Damp the Subsynchronous Oscillations
پديدآورندگان :
Farahani Mohsen نويسنده , Ganjefar Soheil نويسنده , Alizadeh Mojtaba نويسنده
كليدواژه :
Intelligent Control of SSSC , Static synchronous series compensator SSSC , Wavelet neural network , Adaptive learning rates , subsynchronous resonance , PID , self-tuning PID
عنوان كنفرانس :
بيستمين كنفرانس مهندسي برق ايران
چكيده لاتين :
This paper proposes an intelligent control system which is an online self-tuning PID for controlling a static synchronous series compensator (SSSC) to suppress subsynchronous resonance (SSR). By considering the PIDcontroller similar to a single layer neural network, its parameters can be updated in online mode. To train the PID controller, thegradient descent method is employed where the learning rate is adapted in every iteration in order to accelerate the speed ofconvergence. In the proposed controller design, the parameters of PID are intelligently adjusted according to the design objectives.A wavelet neural network (WNN) is also used to identify the controlled system dynamic. To update the parameters of WNN,the gradient descent (GD) along with the adaptive learning rates derived by the Lyapunov method is used. To show the performance of proposed controller, the computer simulationsusing MATLAB are carried out on the IEEE second benchmark model.
شماره مدرك كنفرانس :
4460809