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Science and Technology of Nuclear Installations
Volume 2016 (2016), Article ID 1245387, 10 pages
Research Article

Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method

1School of Electrical Engineering, Wuhan University, Wuhan 430072, China
2State Grid Fujian Electric Power Co. Ltd., Economic and Technology Institute, Fuzhou 350012, China

Received 21 June 2016; Revised 16 August 2016; Accepted 17 August 2016

Academic Editor: Eugenijus Ušpuras

Copyright © 2016 Jie Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


NPP’s power supply system is repairable and there is common cause failure between the components. The repair rate is introduced and total signaling is considered in the improved GO-FLOW method, aimed at reliability analysis for NPP’s power supply system. Traditional GO-FLOW operators’ algorithms are improved. Comprehensively considering the effect of total signaling flow in the power supply system, the equivalent reliability parameter model and common cause failure probability model of multimodal repairable components are constructed. The improved GO-FLOW model of NPP’s power supply system is set up. Based on the proposed model, components’ reliability parameters are computed. The failure probability time-varying trend in thirty years, respectively, of NPP’s offsite power source and power supply system, is simulated and analyzed. Compared with calculation results of dynamic fault tree analysis method, the validity and the simplicity of the improved GO-FLOW method are verified. The effectiveness and applicability of the improved GO-FLOW model for NPP’s power supply system are proved by simulation examples.