An efficient identifier for synchronous machine dynamics

Abstract

A%---+@i+T,s The main objective of this paper is to seek the simplest possible identification model that can simulate closely the dynamic behaviour of a synchronous generator. The successful development of such a model would be of help in devising efSicient on-line digital controllers. For this purpose, the recursive least-squares method of identification has been used. In this respect it has been found that both a third order and a second order identifier are successful in performing this job. The remarkablefinding here is the capability of such reduced models of simulating the dvnamics of synchronous generators under the effect of the sub-synchronous resonancephenomenon, where the order of the differential equations describing the system under study is extremely high. The validity of the presented analysis and the conclusions reached are checked experimentally.

Closed-loop non-parametric model identification of synchronous generator using NARX polynomials

“…Operating a generating unit without a speed governor may result in disastrous consequences such as rotor breakdown. Previous publications on closed-loop identification of synchronous generators have considered a simple controller [26][27][28]. In this paper, both controllers, governor and AVR, are considered, and direct and indirect identification of synchronous generators is investigated.…”

“…The identification of LTI systems is well established in the literature [26,31]. To apply linear identification methods, a linear regression model with three time delays for inputs and outputs was considered, and linear least square method was used for parameter estimation.…”

“…There is little literature available describing the application of closed-loop methods in power systems [26][27][28]. Direct closed-loop synchronous generator identification using linear models is considered in [26].…”

“…There is little literature available describing the application of closed-loop methods in power systems [26][27][28]. Direct closed-loop synchronous generator identification using linear models is considered in [26]. Parameter estimation of a permanent magnet synchronous motor using closed-loop data is investigated in [27] by adjusting the parameters of the proportional -integral (PI) controllers such that the poles of the open-loop transfer function are canceled by the zeros of the controllers.…”