Non invasive parameter identification of power plant characteristics based on recorded network transient data
Synchronous generators are the most widely used machines in power generation. Identifying their parameters in a non invasive way is very challenging due to the inherent nonlinearity of power plant performance. This thesis proposes a parameter identification method using particle swarm optimisation (...
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University of Newcastle Upon Tyne
2011
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Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556126 |