With the growth in requirement for a high reliability of power supply, stability of the power system and the minimum requirement for control systems becomes more and more significant. The most popular way to solve the problem of stability is to install power system stabilizers (PSSs) on synchronous generators in related power systems. The conventional methods for designing PSS are generally based on the compensation approach for the phase and eigenvalue of the generator model. In recent decades, H-norm based robust PSS has been developed because of the system uncertainty of power grids. In another aspect, wind power has evolved into a significant renewable energy source and increased at an outstanding rate. Stability problems of power system with large wind farms became more and more challenging. Some wind plant modelling methods, for which PS Ss are not taken into consideration, have been developed and widely used in practical applications. The present study is concerned with a comprehensive power system stability analysis based on an improved H-nOl'ffi robust controller design method and a novel modelling approach for doubly fed induction generator (DFIG) wind turbines. Initially, one improved lemma, enhanced with LMI regional pole placement, is developed for linear matrix inequality eLMI) based H2/Hoo robust output feedback controller design. Robust PS Ss are designed based on the approach and they are tested in both single and multimachine systems. A novel DFIG wind turbine model is then built up and tested with the robust PSS in both single and multi-machine systems to see the oscillations damping ability. Finally, based on the robust PSS, a large multi-machine power system with wind parks is selected for a comprehensive stability analysis. Simulated examples and case studies are employed in this study to demonstrate the effect of new PS Ss. The simulation results clearly suggest that the proposed PSS can solve the stability problem of damping oscillations in power systems with large wind parks.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:619048 |
| Date | January 2014 |
| Creators | Peng, Y. |
| Publisher | University of the West of England, Bristol |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://eprints.uwe.ac.uk/22983/ |
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