摘要
在电能质量模糊评价中,选择不同的隶属度函数会导致评价结果出现差异,影响评价的可信度。为避免隶属度函数选择上的主观性,充分利用评价信息,本文提出了一种基于方差—协方差优选组合法的组合隶属度函数。首先选取五种典型的中间型隶属度函数作为优选组合的基础;然后通过方差—协方差优选组合法计算各函数权重并进行最优组合,构造出一个具有普遍适用性的组合隶属度函数;最后利用得到的组合隶属度函数进行模糊评价从而提高评价结果的可信度。应用本文算法对某变电站的电能质量数据进行实证分析和评价,验证了该算法的有效性。
In the fuzzy evaluation process of the power quality, different membership functions can lead to different results, which affect the credibility of the evaluation. In order to avoid subjectivity of choosing membership func-tion, a combined membership function based on the Variance-covariance optimized combination method is pro- posed. Firstly, five typical intermediate membership functions are selected. Secondly, weights of each function are calculated by the Variance-covariance optimized combination method, and then a combined membership function of general applicability is constructed according to the weights. Thirdly, the fuzzy evaluation is performed by using this combined membership function. Finally, an application of this combined membership function in the fuzzy e- valuation of power quality of a power supply substation shows that this function can improve credibility of the evalu-ation result.
出处
《电工电能新技术》
CSCD
北大核心
2014年第2期63-69,共7页
Advanced Technology of Electrical Engineering and Energy
基金
国家自然科学基金重点资助项目(50937001)
中央高校基本科研业务费专项资金资助项目(2012ZM0018)
关键词
电能质量
隶属度函数
优选组合
模糊评价
power quality
membership function
optimized combination
fuzzy evaluation
