Conference Paper

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

Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran
DOI: 10.1109/ICNN.1997.616093 Conference: Neural Networks,1997., International Conference on, Volume: 2
Source: IEEE Xplore

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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