摘要
针对电能质量综合评估的特点,将层次分析法、熵权法和均方差法相结合得到电能质量综合评估中各项指标的权重值。充分考虑电能质量分类等级边界值的随机性和模糊性,综合云模型的不确定推理特性与物元分析理论兼具定性定量分析的优点,提出了基于云物元分析理论的电能质量综合评估模型。通过建立电能质量综合评估的标准云物元模型,计算待评物元与标准云物元模型之间的关联度,在此基础上定义了置信度系数,使得所提方法具有同时给出电能质量综合评估结果和评估结果置信度信息的优点。实际算例分析验证了该模型的优越性和有效性。
Aiming at the characteristics of the integration evaluation of power quality, the weights of indexes in power quality synthetic evaluation are obtained by integrating the analytic hierarchy process method, the entropy method and the mean square difference method. Given a full consideration to the fuzziness and randomness of the boundary value of power quality classification levels, combining the characteristic of uncertain reasoning of the cloud model and the advantage of qualitative and quantitative analysis of the matter element analysis theory, a comprehensive power quality evaluation model is proposed based on cloud matter element analysis theory. By establishing the standard cloud matter element model of power quality comprehensive evaluation and calculating the association degree between the matter element to be evaluated and standard cloud matter element model, the coefficient of credible degree is defined, which allows the model not only obtains the level of power quality but also provides the credibility information of the evaluation result. The superiority and effectiveness of the model is demonstrated by results of actual numerical example.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2012年第11期6-10,共5页
Power System Protection and Control
关键词
电能质量
综合评估
云模型
物元理论
关联度
power quality
comprehensive evaluation
cloud model
matter element theory
association degree
