Pseudo Random Noise Generator for Online Estimation of Synchronous Machines

Exhibitor: Hansoon Cheng

Supervisor: Allan Walton

Research Group: Complex and Intelligent Systems

Industry Sector: Energy and Utilities

This thesis topic proposes a technique of determining of model parameters of synchronous machines whilst it is online. This can be done by injecting a Pseudo Random Binary Sequence (PRBS) perturbation to the reference input of the Automatic Voltage Regulator (AVR). This will effectively alter the firing angle of the thyristors in the 3-phase rectifier, which in turn will vary the DC field current supplied to the synchronous machine. The advantages of this technique over Standstill Frequency Response (SSFR) tests is that it allows the synchronous machine to stay connected to the grid (online) while the tests are conducted. This removes the need to shut-down the machine for long periods of time for SSFR tests which will cause inconvenience and loses to power utilities Company. The aim of this thesis is to build a programmable Pseudo Random Binary Sequence generator which simulates a noisy environment for the machine. This generator will be able to produce a PRBS stream of frequency between 0.1Hz to 1000Hz. In addition, we are to obtain the frequency response of the synchronous machine using the input and output data generated by the implementation of this technique.

Thesis Document (PDF)