摘要
电力设备的健康状态评估能降低设备检修的盲目性。针对目前断路器状态评估中存在的相邻状态分界点附近状态划分模糊性较高的问题,设计了一种可拓灰云聚类且考虑状态区间范围差异断路器状态评估方法。该方法以可拓云理论和灰云聚类函数作为基本理论框架,采用不同的约束范围构造最优云熵,同时将状态区间范围差异一同考虑。以某变电所真空断路器为例:预警状态下,"3En"规则构造云熵为0.671 2,"50%关联度"规则构造云熵为0.577 6,构造最优云熵为0.612 7,该方法将其整体判定为预警状态,同其他评估方法结果一致,但其隶属度上的反映更精准。实例结果分析表明,它能有效的处理断路器状态评估中的不确定性因素,具备一定的可行性与准确性。
The health assessment of power equipment can reduce the blindness of equipment maintenance. Aiming at the problem of high ambiguity of state division near the boundary point of adjacent states in current circuit breaker state evaluation, a method for evaluating the state of circuit breaker with extension gray cloud clustering considering the difference of state interval is designed. This method uses extension cloud theory and gray cloud clustering function as the basic theoretical framework, adopts different constraint ranges to construct the optimal cloud entropy, and simultaneously considers the difference in the state interval range. Taking a vacuum circuit breaker in a substation as an example, in the early warning state, the cloud entropy constructed by the "3 En" rule is 0.671 2, and the cloud entropy constructed by the "50% correlation" rule is 0.577 6. The optimal cloud entropy constructed in this paper is 0.612 7. This method will The overall judgment is an early warning state, which is consistent with the results of other evaluation methods, but its reflection on the degree of membership is more accurate. The analysis of the example results shows that it can effectively deal with the uncertain factors in the evaluation of the circuit breaker′s status, and has high feasibility. At the same time, the accuracy of the evaluation results has been improved to a certain extent.
作者
何晋
李维希
李智轩
孙琮岳
李光耀
He Jin;Li Weixi;Li Zhixuan;Sun Congyue;Li Guangyao(School of Electrical and Information Technology,Yunnan Minzu University,Kunming 650000,China)
出处
《电子测量技术》
北大核心
2021年第17期8-13,共6页
Electronic Measurement Technology
基金
国家自然科学基金(52061042)项目资助。
关键词
断路器状态评估
可拓灰云聚类模型
状态区间范围差异
云熵
circuit breaker condition assessment
extension gray cloud clustering theory
state range difference
cloud entropy
