A high accuracy eigenvalue analysis for large power systems

In this paper an efficient eigenvalue algorithm for large power systems is presented. The proposed algorithm is based on the Arnoldi method and the IIA method with the complex shift Cayley transformation. Furthermore, a reduced admittance matrix preserving the sparsity is applied for solving a network equation which is the most time consuming part of eigenvalue calculation. Test calculations were performed to confirm the effectiveness of the proposed method. The results showed that the proposed algorithm could obtain more eigenvalues with high accuracy compared to the conventional methods