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: | , , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2016-01-01
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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. |
format | Article |
id | doaj-art-58ff86bfb81f414598f34015f6b2d42f |
institution | Kabale University |
issn | 1687-6075 1687-6083 |
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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