What is it about?
The paper presents an in situ parameter estimation method to determine the equivalent circuit parameters of the Synchronous Machines. The parameters of synchronous generator, both cylindrical rotor and salient pole rotor, are estimated based on the circuit model. Genetic algorithm based parameter estimation technique is adopted, where only one set of in-situ measured load test data is used.
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Why is it important?
Conventional methods viz., EMF, MMF, Potier triangle method uses rated voltage and rated current obtained from more than one operating condition to determine the parameters. However, Genetic Algorithm (GA) based method uses the working voltage and load current of a single operating point obtained from in-situ measured load test data, i.e. without isolation or disturbing the normal operating condition of the machine to estimate the parameters. The test results of the GA-based parameter estimation method are found to be closer to direct load test results and better than conventional methods.
Perspectives
The need for parameter estimation arises because generator parameters and performance values computed from pre-determination methods tend to deviate substantially from design values and hence unreliable. Genetic algorithm is well established and a robust technique, and it is used here for the estimation.
Mr. Vasan Iyer
Deutsche Gesellschaft fur Luft- und Raumfahrt Lilienthal-Oberth eV
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This page is a summary of: In Situ Parameter Estimation of Synchronous Machines Using Genetic Algorithm Method, Advances in Electrical and Electronic Engineering, September 2016, VSB Technical University of Ostrava, Faculty of Electrical Engineering and Computer Sciences,
DOI: 10.15598/aeee.v14i3.1707.
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