Abstract
Static State Security Analysis (SSSA) is a key technology to ensure the stability of power systems. It is difficult to satisfy the computing requirement with traditional CPU-based concurrent methods, so that GPU is used to accelerate large amount of power flow calculations. The main issue of GPU-based SSSA is complex iterative operations in solving nonlinear equations. A GPU-based SSSA method is proposed for power systems, in which a novel algorithm is proposed for sparse matrix calculation and small partitioned matrices processing. GPU-based multifrontal algorithm is used to combine various small matrices into one matrix in multiplication for fast calculation. Compared with the execution on 4-cores CPU, the proposed method can decrease 40 % calculation time based on GPU to get a better performance.
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Acknowledgments
This work is supported by the National 973 Key Basic Research Plan of China (No. 2013CB2282036), Major Subject of State Grid Corporation of China (No. SGCC-MPLG001(001-031)-2012), the National 863 Basic Research Program of China (No. 2011AA05A118), the National Natural Science Foundation of China (No. 61133008) and the National Science and Technology Pillar Program (No. 2012BAH14F02).
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Chen, Y., Jin, H., Jiang, H., Xu, D., Zheng, R., Liu, H. (2015). GPU-based Static State Security Analysis in Power Systems. In: Yao, L., Xie, X., Zhang, Q., Yang, L., Zomaya, A., Jin, H. (eds) Advances in Services Computing. APSCC 2015. Lecture Notes in Computer Science(), vol 9464. Springer, Cham. https://doi.org/10.1007/978-3-319-26979-5_19
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DOI: https://doi.org/10.1007/978-3-319-26979-5_19
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