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Model Fittng and State Estimation for Thermal Model of Synchronous Generator

Pandey, Madhusudhan
Master thesis
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URI
https://hdl.handle.net/11250/2644748
Date
2019
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  • Master i teknologi [170]
Abstract
The power factor of a synchronous generator, in a European hydropower generation, is

constrained to [0.85, 0.95], and for Norway, it is generally below 0.86. A higher power

factor means more exploited power (active power), and currents through the generator; and

vice-versa. However, relaxation on the constrained power factor for higher active power

generation should be balanced with thermal heating due to more winding currents through

the generator which eventually influences the generator lifetime.

Thus, the measure of temperature evolution in generator metals are vital if the relaxation

of power factor is allowed. In this thesis work, we are developing several thermal models for

air-cooled synchronous generator based on constant, and temperature dependent resistance

and specific heat capacity for metals and fluids (air, water). The developed models are

then analyzed, and state estimation algorithms are applied for air and metals temperature

estimation. The state estimation algorithms, Unscented Kalman Filter, and Ensemble Kalman Filter are compared. Based on computational speed Unscented Kalman Filter performs

better, however, based on estimation accuracy Ensemble Kalman Filter performs better.
Publisher
University of South-Eastern Norway
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