基于云理论的智能电能表故障数据分析
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TM933.4


Fault data analysis of smart electricity meter based cloud theory
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    摘要:

    智能电能表是智能电网中重要的高级计量设备,其故障类型具有复杂的随机模糊特性,对用户的用电安全和计量的公平公正具有重大直接影响。为了分析智能电能表故障数据中的随机、模糊信息及其之间关联性,该文根据聚类算法和云理论,对数据进行挖据,建立智能电能表故障信息的分类诊断云模型,确定智能电能表的薄弱环节或影响电能表可靠运行的关键信息。最后,以某地区2015年度主站采集到的智能电能表异常事件记录为数据源进行挖掘分析,验证该文所提方法的有效性和实用性。

    Abstract:

    The smart electricity meter is an important and sophisticated metrical equipment in smart grid. Its fault types have complicated characteristics of randomness and fuzziness, which have significant impacts on electrical safety of consumer as well as fairness and justness of measurement directly. Therefore, a classification diagnosis cloud model of fault information of smart electricity meter is proposed in order to analyze the randomness and fuzziness of fault data in smart electricity meter and their correlation. In this model, the clustering algorithm is applied, and the cloud theory is employed to conduct data mining. In addition, the weakness and key parts affecting reliable operation of smart electricity meter is also specified. Finally, the abnormal event record of smart electricity meter in a certain area in 2015 is chosen as the data source for analysis. The effectiveness and practicability of the proposed method is verified.

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江剑峰,张 垠,田书欣,等.基于云理论的智能电能表故障数据分析[J].电力科学与技术学报,2020,35(2):163-169.
JIANG Jianfeng, ZHANG Yin, TIAN Shuxin, et al. Fault data analysis of smart electricity meter based cloud theory[J]. Journal of Electric Power Science and Technology,2020,35(2):163-169.

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  • 在线发布日期: 2020-09-03
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