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

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.