Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.579693
Title: Advanced gen-set modelling
Author: Cooper, Alan Robert
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2012
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Abstract:
Diesel generation is used worldwide to provide prime power or as a backup should the mains electricity supply be lost. This thesis presents a model of a diesel generating set (gen-set) to simulate its behaviour following a sudden application of load. Load acceptance is of particular interest in standby applications where the site load is connected through a breaker to an unloaded gen-set, The quality of a gen-set's voltage and frequency are of the most concern when supplying a load. During large load acceptances, transient voltage and frequency deviations can be so large that lights will extinguish, contactors drop out, and permanent damage can occur to sensitive electronics. In extreme cases the load can cause the engine to stall. The increasing desire to predict the magnitude of these deviations from nominal values has identified the need to have an accurate gen-set model. The model presented in this thesis was developed in order that the voltage and frequency transients could be recreated and examined in the simulation environment. There is considerable detail included, with models of the engine, governor, synchronous machine and voltage regulator, and many of their component parts. The control signals and other interaction are also included, so that the gen-set's behaviour during load acceptance can be analysed. The gen-set model has been extensively validated against plant measurements under a number of test scenarios and is shown to remain accurate. The model has also been used to predict a number of potential performance enhancements which could be implemented on the gen-set in the future.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.579693  DOI: Not available
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