Intelligent Control of SSSC Via an Online Self- Tuning PID to Damp the Subsynchronous Oscillations
Publish place: 20th Iranian Conference on Electric Engineering
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEE20_098
تاریخ نمایه سازی: 14 مرداد 1391
Abstract:
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.
Keywords:
Subsynchronous resonance , Self-tuning PID , Static synchronous series compensator (SSSC) , Wavelet neural network , Adaptive learning rates
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