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Abstract In view of the limitations of traditional reliability assessment methods about on the main electrical connection of the substation, Bayesian network was applied to the reliability assessment and optimization of main electrical connection of substation. For this purpose, the example selected of two kinds of common main connection mode. Firstly, decomposed system according to the structure and function and obtained the logic diagram. Secondly, determined the minimum path from generator to the load and established the Bayesian networks which the function module was the node. Finally, calculated the system availability on basis of the Bayesian networks and found the weak links of reliability in the two main electrical connection. Calculation results show that the Bayesian network can help engineers to choose substation main electrical connection and guide maintenance work in the future, has a greater practical significance.
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Published: 14 September 2015
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[1] 李明, 韩学山, 王勇, 等. 变电站状态检修决策模型与求解[J]. 中国电机工程学报, 2012, 32(25): 196-202. Li Ming, Han Xueshan, Wang Yong, et al. Decision- making model and solution of condition-based maintenance for substation[J]. Proceedings of the CSEE, 2012, 32(25): 196-202.
[2] Yang F, Kwan CM, Chang CS. Multi-objective evolutionary optimization of substation maintenance using decision-varying Markov model[J]. IEEE Transac- tions on Power Systems, 2008, 23(3): 1328-1335.
[3] 曹楠, 李刚, 王冬青. 智能变电站关键技术及其构建方式的探讨[J]. 电力系统保护与控制, 2011, 39(5): 63-68. Cao Nan, Li Gang, Wang Dongqing. Key technologies and construction methods of smart substation[J]. Power System Protection and Control, 2011, 39(5): 63-68.
[4] 陈晨, 刘俊勇, 刘友波, 等. 一种考虑变电站内部的电力系统可靠性分析[J]. 电力自动化设备, 2015, 35(2): 103-109. Chen Chen, Liu Junyong, Liu Youbo, et al. Power system reliability analysis considering substation interior[J]. Electric Power Automation Equipment, 2015, 35(2): 103-109.
[5] 姚成玉, 陈东宁, 王斌. 基于T-S故障树和贝叶斯网络的模糊可靠性评估方法[J]. 机械工程学报, 2014, 50(2): 193-201. Yao Chengyu, Chen Dongning, Wang Bin. Fuzzy Reliability assessment method based on T-S fault tree and bayesian network[J]. Journal of mechanical engineering, 2014, 50(2): 193-201.
[6] MENTES A, HELVACIOGLU I H. An application of fuzzy fault tree analysis for spread mooring systems [J]. Ocean Engineering, 2011, 38(2): 285-294.
[7] 霍利民, 朱永利, 范高锋, 等. 一种基于贝叶斯网络的电力系统可靠性评估新方法[J]. 电力系统保护与控制, 2003, 27(5): 36-40. Huo Limin, ZhuYongli, Fan Gaofeng, et al. A new method for reliability assessment of power system based on bayesian networks[J]. Power System Protection and Control, 2003, 27(5): 36-40.
[8] 李俭川, 胡茑庆, 秦国军, 等. 贝叶斯网络理论及其在设备故障诊断中的应用[J]. 中国机械工程, 2003, 14(10): 896-900. Li Jianchuan, Hu Niaoqing, Qin Guojun, et al. Bayesian network and its applications for device fault diagnosis[J]. China Mechanical Engineering, 2003, 14(10): 896-900.
[9] Charniak E. Bayesian Networks without Tears. AI Magazine, 1991, 12(4): 50-63.
[10] Pearl J. Graphical Models for Probabilistic and Causal Reasoning. In: The Computer Science and Engineering Handbook. Kluwer Academic Publishers, 1997: 697-714.
[11] 尹晓伟, 钱文学, 谢里阳. 系统可靠性的贝叶斯网络评估方法[J]. 航空学报, 2008, 29(6): 1282 -1289. Yin Xiaowei, Qian Wenxue, Xie Liyang. A Method for System Reliability Assessment Based on Bayesian Networks[J]. Acta Aeronautica et Astronautica Sinica, 2008, 29(6): 1282 -1289.
[12] 赵文清, 王强, 牛东晓. 基于贝叶斯网络的电抗器健康诊断[J]. 电力自动化设备, 2013, 33(1): 40-43. Zhao Wenqing, Wang Qiang, Niu Dongxiao. Reactor health diagnosis based on Bayesian network[J]. Electric Power Automation Equipment, 2013, 33(1): 40-43.
[13] 周忠宝, 董豆豆, 周经伦. 贝叶斯网络在可靠性分析中的应用[J]. 系统工程理论与实践, 2006, (6): 95-100. Zhou Zhongbao, Dong Doudou, Zhou Jinglun. Applica- tion of bayesian networks in reliability analysis[J]. Systems Engineering-theory & Practice, 2006, (6): 95-100.
[14] 程林, 何剑. 电力系统可靠性原理和应用[M]. 北京: 清华大学出版社, 2015: 356-358.
[15] 齐先军, 史新红, 丁明, 等. 电力系统元件稳态可用度的非精确统计推断[J]. 中国电机工程学报, 2014, 34(13): 2108-2115. Qi Xianjun, Shi Xinhong, Ding Ming, et al. Imprecise Statistical Inference for Steady-state Availability of Components in Power Systems[J]. Proceedings of the CSEE, 2014, 34(13): 2108-2115. |
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2015, Vol. 30 
