| Title |
Transient Stability Control of Power System using Passivity and Neural Network |
| Authors |
이정원(Lee, Jung-Won) ; 이용익(Lee, Yong-Ik) ; 심덕선(Shim, Duk-Sun) |
| Keywords |
power system ; transient stability ; passivity ; neural network |
| Abstract |
This paper considers the transient stability problem of power system. The power system model is given as interconnected system consisting of many machines which are described by swing equations. We design a transient stability controller using passivity and neural network. The structure of the neural network controller is derived using a filtered error/passivity approach. In general, a neural network cannot be guaranteed to be passive, but the weight tuning algorithm given here do guarantee desirable passivity properties of the neural network and hence of the closed-loop error system. Moreover proposed controller shows good robustness by simulation for uncertainties in parameters, which can not be shown in the speed gradient method proposed by Fradkov[3,7]. |