Statistical estimation theory applied to synchronous generator modeling
Abstract
An ideal generator model is reduced to a statespace formulation, and the method of quasilinearization is used to develop an optimal parameter estimation algorithm, implemented on a small digital computer. The experiment to produce data for the parameter estimator is designed with the aid of a computer simulation of the experimental setup. The simulation includes a model of a typical generator with a switched load. The objectives of the design of the experiment are to produce sufficient data to permit the estimator to work well, while recognizing economic constraints on equipment and computer time. The experiment is implemented on a real synchronous generator with data recorded and digitized offline. A method of estimating the generator model parameters from switchedload test data corrupted by considerable measurement noises is presented.
 Publication:

Ph.D. Thesis
 Pub Date:
 1977
 Bibcode:
 1977PhDT.......113B
 Keywords:

 Algorithms;
 Computerized Simulation;
 Statistical Decision Theory;
 Digital Computers;
 Nonlinearity;
 Parameterization;
 Electronics and Electrical Engineering