| 引用本文: | 戴志辉,谢军,陈曦,王增平.基于动态贝叶斯网络的智能变电站监控系统可靠性分析[J].电力系统保护与控制,2018,46(23):68-76.[点击复制] |
| DAI Zhihui,XIE Jun,CHEN Xi,WANG Zengping.Dynamic Bayesian network based reliability evaluation of supervision and control system in smart substations[J].Power System Protection and Control,2018,46(23):68-76[点击复制] |
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| 摘要: |
| 通过分析智能变电站监控系统的工作机制，提出运用动态贝叶斯网络评估其可靠性。首先，将监控系统的功能划分为三类，并建立了相应的功能可靠性框图。其次，在建立的功能可靠性框图的基础上，构建了监控系统动态贝叶斯网络模型及其求解方法。最后，以算例验证了所提方法的有效性。结果表明，该方法能较好地描述监控系统的动态特性，为系统的优化配置、故障诊断提供参考。 |
| 关键词: 智能变电站 监控系统 动态贝叶斯网络 动态特性 可靠性评估 |
| DOI：10.7667/PSPC171637 |
| 投稿时间：2017-11-15修订日期：2018-02-26 |
| 基金项目:国家自然科学基金项目资助(51877084);河北省自然科学基金项目资助(E2018502063);国家重点研发计划专项课题资助(2016YFB0900203);中央高校基本科研业务费资助(2017MS096) |
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| Dynamic Bayesian network based reliability evaluation of supervision and control system in smart substations |
| DAI Zhihui,XIE Jun,CHEN Xi,WANG Zengping |
| (Hebei Key Laboratory of Distributed Energy Storage and Microgrid North China Electric Power University, Baoding 071003, China;State Grid Baoding Power Supply Company, Baoding 071000, China) |
| Abstract: |
| Based on analysis of operating mechanism of smart Substation Supervision and Control System (SSCS), Dynamic Bayesian Network (DBN) is introduced to evaluate the reliability of SSCS. First, the function of SSCS is divided to three types and the corresponding functional Reliability Block Diagrams (RBD) are established. Secondly, the DBN model and its solution of SSCS are implemented based on the functional RBD. Finally, a study case is presented to demonstrate the effectiveness of the proposed method. The results show that dynamic characteristics of SSCS could be well described by DBN and hence provide reference for the system configuration optimization and fault diagnosis. This work is supported by National Natural Science Foundation of China (No. 51877084), Natural Science Foundation of Hebei Province (No. E2018502063), National Key Research and Development Program of China (No. 2016YFB0900203), and Fundamental Research Funds for the Central Universities (No. 2017MS096). |
| Key words: smart substation supervision and control system dynamic Bayesian network dynamic characteristics reliability evaluation |
