基于梯形隶属度模糊算法对电能质量的判定

Based on Trapezoidal Fuzzy Algorithm to Determine the Quality of Electric Energy

为提高和改善电能质量,以判断某一大中型水务公司电能质量为背景,利用智能电表(FKGA44-ZY200),在对该水厂电能质量数据的采集基础上,针对判断电能质量各项指标间的不确定关系,提出了一种基于梯形隶属度函数模糊算法对电能质量进行综合等级判定的方法。该方法首先将判定电能质量的各项指标做模糊化处理,并建立梯形隶属度函数模型,然后将隶属度划分为五个等级,最后根据待测点的隶属度级,利用贴近度思想判定待测点的等级,进而实现电能质量的综合判定。

To enhance and improve the power quality, to determine the power quality level of a medium-sized Water. Collecting data from the power quality of this water using smart meters （FKGA44-ZY200）.Aiming at the uncertain relationship among all the indicators of power quality, the thesis comes up with a fuzzy algorithm based on the trapezoidal membership function for power quality comprehensive rating. Membership degree and membership degree set come from the fuzzification of each one of individual judgment indicators. With the guid- ance of thought of Close-degree, the power quality on the Moni- toring points is judged synthetically. Consequently, to determine the realization of power quality.