Radial basis function network based power system stabilizers for multimachine power systems
ABSTRACT A radial basis function network (RBFN) based power system
stabilizer (PSS) is presented in this paper to improve the dynamic
stability of multimachine power systems. The proposed RBFN is trained
over a wide range of operating conditions in order to re-tune the
parameters of the PSS in real-time. Time domain simulations of a
multimachine power system with different operating conditions subject to
a three phase fault are studied and investigated. The performance of the
proposed RBFN PSS is compared to that of conventional power system
stabilizer (CPSS). The results show the good damping characteristics of
the proposed RBFN PSS over a wide range of operating conditions
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ABSTRACT: This paper describes an application of layered neural networks to nonlinear power systems control. A single generator unit feeds a power line to various users whose power demand can vary over time. As a consequence of load variations, the frequency of the generator changes over time. A feedforward neural network is trained to control the steam admission valve of the turbine that drives the generator, thereby restoring the frequency to its nominal value. Frequency transients are minimized and zero steady-state error is obtained. The same technique is then applied to control a system composed of two single units tied together through a power line. Electric load variations can happen independently in both units. Both neural controllers are trained with the back propagation-through-time algorithm. Use of a neural network to model the dynamic system is avoided by introducing the Jacobian matrices of the system in the back propagation chain used in controller training.Neural Networks. 07/1994; 7(1):183–194.
- IEEE Power Engineering Review 04/1991; 11(3):45-.
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ABSTRACT: An adaptive synchronous machine controller that minimizes a cost function incorporating system input, output, and set-point variations, and its application to a multimachine power system are described. The control is based on a criterion of automatically shifting the closed loop poles of the system towards the origin in the z -domain without violating the control constraints. It possesses the property of robustness and ease of reference signal tracking. The ability of the proposed controller to damp multimode oscillations is investigated. Studies show that the proposed controller cooperates with the conventional power-system stabilizers on the system in damping the oscillationsIEEE Transactions on Power Systems 09/1988; · 2.92 Impact Factor