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Dynamic Stability Analysis Of Large-scale Power Systems Using A Fast Investigation Method

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Dynamic Stability Analysis Of Large-scale Power Systems Using A Fast Investigation Method

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dc.contributor.author Kuo, Ming-Tse en_US
dc.date.accessioned 2007-08-23T01:56:30Z
dc.date.available 2007-08-23T01:56:30Z
dc.date.issued 2007-08-23T01:56:30Z
dc.date.submitted December 2006 en_US
dc.identifier.other DISS-1599 en_US
dc.identifier.uri http://hdl.handle.net/10106/337
dc.description.abstract Following power market deregulation and the proposed standard market design, the activities of cross boundary power transactions are increased significantly. Traditional company based stability analysis can not satisfy today's operating environment. However, simulating the entire interconnection power system may exceed the capacity of existing commercial stability analysis software. Fortunately, most of the stability problems are started from the local level. One will be able to avoid most of the system wide stability issues by mitigating the problems in the early stage. Based on eigenvector decompositions of the Jacobian, this dissertation proposes a new algorithm for performing the dynamic stability problem for a large interconnected power system. Using Python and MATLAB to build an integrated simulation environment around PSS/E not only overcomes the large-scale power system problem but also shortens the simulation time. The proposed method has been verified on the Southwest Power Pool (SPP) system, which has close to 30,000 buses. The simulation results on both the proposed approach and the entire system were almost identical. en_US
dc.description.sponsorship Lee, Wei-Jen en_US
dc.language.iso EN en_US
dc.publisher Electrical Engineering en_US
dc.title Dynamic Stability Analysis Of Large-scale Power Systems Using A Fast Investigation Method en_US
dc.type Ph.D. en_US
dc.contributor.committeeChair Lee, Wei-Jen en_US
dc.degree.department Electrical Engineering en_US
dc.degree.discipline Electrical Engineering en_US
dc.degree.grantor University of Texas at Arlington en_US
dc.degree.level doctoral en_US
dc.degree.name Ph.D. en_US

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