Synchronous Generator Saturation Modeling from Operating Data

Abstract

A l x t r a c t : This paper presents a study in saturation modeling of synchronous machine from operating da ta geiieratcd by small voltage excitation disturbances. ‘Yhc MaxiniumLikelihood (ML) estimation algorithm is introduced to identify the saturatcd mutual iiiductances. The cllects of noise on tlic id inown parairictcr initialization and the oatcome of the estimation are studicd using the multimachiiic simulated responses. The study indicates that tlie proposcd cstimation algoiitlirn combined wilh t,hc steady-state and siiiall-tlistiirl)arice icspoiiscs can be used to obtain accurate machine saturation paraiiictcrs from noise-corriiptctl data.