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Title: Application of damping torque analysis in large-scale power systems
Author: Ge, Yi
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2013
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The technique of damping torque analysis (DTA) is proposed on the basis of linearized Philips-Heffron model of a single-machine infinite-bus power system. Analysis is to examine the electric torque contribution from a particular source to the electromechanical oscillation loop of generator in the power system. An effective engineering method - phase compensation method - for the design of PSS was developed on the basis of DTA. In study of real large power systems, modeling of the whole power system is very complicated. The generators in the large power system and other equipments result in a very high order of system model. Therefore a proper simplification method has to be applied to reduce the high order of real large power system. The aim of system simplification is to reduce the order of the linearized model of the large power systems, maintaining the characteristics of the under studied low frequency. Power system stabilizers (PSSs) have been adopted to mitigate low-frequency oscillations in the grid. However, in concerning of efficiency of damping controller in the power systems, decomposed analysis of PSS is studied to be further evidence for selecting installing location of PSS in the power systems. With greater integration of wind turbine generators in the introduced realistic large-scale power systems, impact of doubly fed induction generators (DFIGs) has been investigate for further study of renewable energy connected power systems. In terms of coordinated design of PMU and PSS in real large-scale power systems, developments in communication systems have made it feasible to also use remote signals as PSS inputs provided by PMU units. So as to the selection of signals from multiple locations can be further improved..
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available