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Abstract:
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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 . |