| 面向状态检修的智能变电站保护系统可靠性分析 |
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| 引用本文： | 戴志辉,张天宇,刘 譞,焦彦军.面向状态检修的智能变电站保护系统可靠性分析[J].继电器,2016,44(16):14-21. |
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| 作者姓名： | 戴志辉 张天宇 刘 譞 焦彦军 |
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| 作者单位： | 华北电力大学电气与电子工程学院，河北 保定 071003,华北电力大学电气与电子工程学院，河北 保定 071003,华北电力大学电气与电子工程学院，河北 保定 071003,华北电力大学电气与电子工程学院，河北 保定 071003 |
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| 基金项目： | 国家自然科学基金项目(51307059);河北省自然科学基金项目(E2014502065);中央高校基本科研业务费专项资金资助项目(2014MS86) |
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| 摘 要： | 以状态检修为目的，研究了智能变电站保护系统的可靠性评估方法。首先从智能变电站技术特点出发，提出一种考虑逻辑节点的保护系统监测方法。根据状态检修的需要选取保护系统可靠性指标，并在此基础上建立了动态Markov模型，利用该模型定量评估保护系统在给定条件下的检修需求。最后以典型220 kV智能变电站为例说明了该评估模型的应用方法并做了相关分析。算例结果表明，该方法具有一定的可操作性，能够为智能变电站保护系统的检修决策提供一些参考。
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| 关 键 词： | 智能变电站 保护系统可靠性 动态Markov模型 状态检修 |
| 收稿时间： | 2015/8/27 0:00:00 |
| 修稿时间： | 2015/12/4 0:00:00 |
Research on smart substation protection system reliability for condition-based maintenance |
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| DAI Zhihui,ZHANG Tianyu,LIU Xuan and JIAO Yanjun.Research on smart substation protection system reliability for condition-based maintenance[J].Relay,2016,44(16):14-21. |
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| Authors: | DAI Zhihui ZHANG Tianyu LIU Xuan and JIAO Yanjun |
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| Affiliation: | School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China,School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China,School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China and School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China |
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| Abstract: | In order to realize the condition-based maintenance (CBM) of protection systems in smart substation, this paper proposes a new way to assess the reliability of protection systems. Based on the characteristics of smart substations, a monitoring method reflecting the changes of the protection system function in terms of logical nodes is presented. According to the needs of the condition-based maintenance, reliability indices of the protection system are chosen. Along with these indices, a dynamic Markov reliability assessment model is built to quantitatively calculate the maintenance requirement under given conditions. Finally, a typical 220 kV smart substation is utilized to illustrate the application method of the assessment model. The result shows that the method has certain operability, and could provide reference for maintenance decision-making of the protection system in smart substations. This work is supported by National Natural Science Foundation of China (No. 51307059), Natural Science Foundation of Hebei Province (No. E2014502065), and Fundamental Research Funds for the Central Universities (No. 2014MS86). |
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| Keywords: | smart substation protection system reliability dynamic Markov model condition-based maintenance |
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