基于诱导有序加权证据推理方法的不完全信息下继电保护系统健康状态评价
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(武汉大学电气工程学院,湖北 武汉 430072)

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段嘉珺(1994—),男,通信作者,硕士研究生,主要从事电力设备状态评估与故障诊断方面的研究。E-mail:duanjiajun@whu.edu.cn
应黎明(1965—),男,博士,教授,博士生导师,研究方向为电气设备状态评估与故障诊断、电力设备有源噪声控制。E-mail:LMYing@whu.edu.cn

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南方电网公司重点科技项目(GZ2014-2-0049)


Health condition assessment for relay protection system based on the induced ordered weighted evidential reasoning method under incomplete information
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(School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

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    摘要:

    考虑到实际继电保护系统的监测数据庞杂,往往呈现动态性、不完备性和不精确性等特征,属于不完全信息,针对不完全信息下继电保护系统的评价方法进行研究。基于证据推理方法,对属性值存在缺失的继电保护系统状态进行了综合评价。引入诱导有序加权算子,系统状态信息的权重依据各属性表现的排序来确定,保证了状态评价模型中权系数与系统状态在任一时间点上的相关性。通过算例与传统模糊评价方法对比,验证诱导有序加权证据推理方法对不完全信息下继电保护系统状态评价的有效性,且更能针对性地反映系统劣化趋势。

    Abstract:

    The monitoring data of a relay protection system in practical application is generally confused, dynamic, incomplete and inaccurate, which belongs to the ‘incomplete information’. This paper researches condition assessment of relay protection system which includes incomplete information. Based on evidence reasoning methods, a comprehensive evaluation for relay protection system without attribute value is provided. By introducing the induced ordered weighted operator, the weight of system status information is determined based on the sequence of each attribute’s performance, ensuring that weight coefficient of the state evaluation model is consistent with system status at any moment. Compared with traditional fuzzy evaluation method by calculation example, Induced Ordered Weighted Evidence Reasoning (IOWER) Method for relay protection systems with incomplete information proves more effective, which could be more specific to reflect system’s degradation. This work is supported by Scientific and Technological Project of China Southern Power Grid (No. GZ2014-2-0049).

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段嘉珺,应黎明,罗先成,等.基于诱导有序加权证据推理方法的不完全信息下继电保护系统健康状态评价[J].电力系统保护与控制,2018,46(6):106-112.[DUAN Jiajun, YING Liming, LUO Xiancheng, et al. Health condition assessment for relay protection system based on the induced ordered weighted evidential reasoning method under incomplete information[J]. Power System Protection and Control,2018,V46(6):106-112]

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  • 收稿日期:2017-03-03
  • 最后修改日期:2017-05-24
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  • 在线发布日期: 2018-03-16
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