Distributed Rayleigh Quotient Iterative Method for Eigen-analysis of Power Systems

In China, power system is managed hierarchically. Various computational resources are scattered in different dispatch centers. Centralized computation patterns are difficult to meet the demands of small-signal-stability analysis of the interconnected power systems. Although a distributed inverse iteration method has been proposed for this question, its efficiency is not satisfying since inverse iteration has slow convergence and demands numerous communications. An advanced distributed eigen-analysis method based on JFNG method with combined Rayleigh quotient iteration and inverse iteration methods is proposed in this paper. The algorithm has been tested on an IEEE39 system. Results show great improvement in convergence with this advanced method.