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

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...

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Main Authors: Jie Zhao, Tian Liu, Yu Zhao, Dichen Liu, Xiaodong Yang, Yi Lin, Zhangsui Lin, Yong Lei
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Science and Technology of Nuclear Installations
Online Access:http://dx.doi.org/10.1155/2016/1245387
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author Jie Zhao
Tian Liu
Yu Zhao
Dichen Liu
Xiaodong Yang
Yi Lin
Zhangsui Lin
Yong Lei
author_facet Jie Zhao
Tian Liu
Yu Zhao
Dichen Liu
Xiaodong Yang
Yi Lin
Zhangsui Lin
Yong Lei
author_sort Jie Zhao
collection DOAJ
description 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.
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institution Kabale University
issn 1687-6075
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language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series Science and Technology of Nuclear Installations
spelling doaj-art-58ff86bfb81f414598f34015f6b2d42f2025-02-03T01:30:56ZengWileyScience and Technology of Nuclear Installations1687-60751687-60832016-01-01201610.1155/2016/12453871245387Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW MethodJie Zhao0Tian Liu1Yu Zhao2Dichen Liu3Xiaodong Yang4Yi Lin5Zhangsui Lin6Yong Lei7School of Electrical Engineering, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering, Wuhan University, Wuhan 430072, ChinaState Grid Fujian Electric Power Co. Ltd., Economic and Technology Institute, Fuzhou 350012, ChinaState Grid Fujian Electric Power Co. Ltd., Economic and Technology Institute, Fuzhou 350012, ChinaState Grid Fujian Electric Power Co. Ltd., Economic and Technology Institute, Fuzhou 350012, ChinaState Grid Fujian Electric Power Co. Ltd., Economic and Technology Institute, Fuzhou 350012, ChinaNPP’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.http://dx.doi.org/10.1155/2016/1245387
spellingShingle Jie Zhao
Tian Liu
Yu Zhao
Dichen Liu
Xiaodong Yang
Yi Lin
Zhangsui Lin
Yong Lei
Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method
Science and Technology of Nuclear Installations
title Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method
title_full Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method
title_fullStr Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method
title_full_unstemmed Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method
title_short Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method
title_sort reliability evaluation of npp s power supply system based on improved go flow method
url http://dx.doi.org/10.1155/2016/1245387
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AT yilin reliabilityevaluationofnppspowersupplysystembasedonimprovedgoflowmethod
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