Modelling of hydraulic governor-turbine for control stabilisation

Abstract

Power system performance is affected by dynamic characteristics of hydraulic governor-turbines during and following any disturbance, such as occurrence of a fault, loss of a transmission line or a rapid change of load. Accurate modelling of hydraulic governor-turbines is essential to characterise and diagnose the system response during an emergency. In this article, both detailed and simplified hydraulic systems governed by proportional-integral-derivative and proportional-integral controllers are modelled. This article examines their transient responses to disturbances through simulation in Matlab/Simulink. The article also investigates the dynamic performance of an isolated hydraulic system through evaluating stability margins, eigenvalues, root loci and frequency deviation time responses of the system. The results obtained provide an insight into the stability of the power system governed by different governor settings. References

• P. Kundur. Power System Stability and Control. McGraw-Hill, 1994.
• D. H. Thorne and E. F. Hill. Field testing and simulation of hydraulic turbine governor performance. IEEE Transactions on Power Apparatus and Systems, PAS-93(4):1183--1191, July 1974. doi:10.1109/TPAS.1974.294066.
• J. M. Undrill and J. L. Woodward. Nonlinear hydro governing model and improved calculation for determining temporary droop. IEEE Transactions on Power Apparatus and Systems, PAS-86(4):443--453, April 1967. doi:10.1109/TPAS.1967.291853.
• Richard C. Dorf and Robert H. Bishop. Modern Control Systems. Pearson Educational, Inc, 2005.
• L. N. Hannett, J. W. Feltes, and B. Fardanesh. Field tests to validate hydro turbine-governor model structure and parameters. IEEE Transactions on Power Systems, 9(4):1744--1751, November 1994. doi:10.1109/59.331426.
• IEEE. IEEE guide for the application of turbine governing systems for hydroelectric generating units. IEEE Std 1207-2004, pages 1--121, 2004.
• IEEE. Hydraulic turbine and turbine control models for system dynamic studies. IEEE Transactions on Power Systems, 7(1):167--179, Feb 1992. doi:10.1109/59.141700.