Radial basis function network based power system stabilizers for multimachine power systems

Conference Paper · July 1997with2 Reads
DOI: 10.1109/ICNN.1997.616093 · Source: IEEE Xplore
Conference: Neural Networks,1997., International Conference on, Volume: 2

    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