Graph-based Incomplete LU Preconditioning Conjugate Gradient Algorithm for “N-1” Contingency Analysis
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With the rapid-growing penetration of sustainable energy and distributed generation, the increased size and complexity has challenged the contingency analysis of the present power system. Meanwhile, the current electric utility operating policies require that each utility’s power system must be able to withstand and recover from any “N-1” contingency analysis(“first contingency” or any single failure), and expects the real-time analysis as the key component of the “self-healing grid” of the future. The approach proposed in this dissertation is aiming to improve the computing performance for the dynamic contingency analysis. Firstly, the graph technology is introduced as the model of the power system, thanks to it has widely used in the Internet, social media, network security, traffic control, e-commerce and so on. Then more research is involved in conjugate gradient algorithm and specific preconditioning for the power system.