Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707821
Title: Damping torque analysis of power system stabiliser in power systems
Author: Lv, Chen
ISNI:       0000 0004 6057 1788
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2016
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Abstract:
Nowadays the small-signal angular stability problem caused by insufficient damping of low- frequency oscillations threatens the security and integrity of power grids when the power system is developing towards large or even super large interconnected grids. The low-frequency oscillation often persists for a long period of time, and in some cases it may interrupt stable operation of the power system. One effective way of suppressing the oscillations is that the auxiliary controllers called power system stabilisers (PSS) are installed in the excitation system of generators, to provide additional damping to the low-frequency power oscillations. The work presented in this thesis focuses on applying the damping torque analysis to power systems. The main contributions of the work are the following two aspects. Firstly, by using the damping torque analysis, an in-depth study on the damping contribution and distribution in modern power system is carried out. This study provides valuable detailed information about how and why the damping is distributed in the system as well as identifying the most responsible components to the damping. The results of extended analysis can be used to guide planning, operation and control of power systems, and have great value in practice. Secondly, the work has demonstrated that damping torque analysis is not only useful in studying global model of power systems as it was before, but can also be applied in local model of power systems and the new energy power generation systems (such as the wind power generation system). Hence the work significantly enhances the potential of the damping torque analysis technique in practical applications thereby making it comparable to the conventional method of modal analysis.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.707821  DOI: Not available
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