基于熵权-层次分析的智能电能表关键元器件选型方法

智能电能表作为智能电网中近用户侧的量测终端,是智能电网高级量测体系中与用户交互的核心环节,其可靠性需要重点关注.针对现有智能电能表的核心部件-元器件的选型依据主观经验选型的不足之处,提出一种智能电能表关键元器件选型方法,攻克经验选型方法中严重依赖于主观的不足之处.采用层次分析法设定智能电能表中元器件选择模型;针对层次分析法过于依赖专家经验而存在的客观赋权不足之处,采用熵权法进一步自适应调整层次分析方法中指标数据的权重;通过智能电能表中关键元器件的选型实验,验证出所提方法在智能电能表中的关键元器件选型的可行性和有效性,可为智能电能表的可靠计量提供保障.

Selection of the smart meter key components based on the entropy-hierarchy hierarchy process

As the measurement terminal near the user side in the smart grid, the smart meter is the key parts of the interaction with the user in the smart grid advanced metering infrastructure, therefore, its reliability needs to be focused. Aiming at the shortcomings of existing smart meter core components selection method based on the subjective experience, this paper proposes an automatic selection method for the key components of the smart meter, which overcomes empirical selection method that rely on subjective experience heavily. Firstly, in this paper, the analytic hierarchy process is used to select components in smart meters. Secondly, for the shortcoming of objective weight of analytic hierarchy process that relies too much expert experience, this paper uses the entropy weight method to further adaptively adjustment the weight of the indicator. Finally, through the selection experiment of key components in the smart meter, the feasibility and effectiveness of the proposed selection method is verified, which can guarantee the reliable measurement for the smart meter.