An improved cloud matter element model based wind farm power quality evaluation

被引：0

作者：

Jiang, Hui ^{[1
]}

Zhang, Qinglian ^{[1
]}

Peng, Jianchun ^{[1
]}

机构：

[1] College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518061, Guangdong Province

来源：

Dianwang Jishu/Power System Technology | 2014年 / 38卷 / 01期

关键词：

Cloud model; Electric power quality evaluation; Matter element theory; Wind farm;

D O I：

10.13335/j.1000-3673.pst.2014.01.032

中图分类号：

学科分类号：

摘要：

A new assessment method of the electric power quality in wind farm by use of an improved evaluation model based on cloud matter element method is proposed in this paper. The evaluation index for voltage sag was produced by combining both voltage sag times and duration-time. Given a full consideration to the limitation of data collection in wind farm, the limited data collected from the wind farm would be handled to establish the samples cloud matter element model. With the 3? principle in normal distribution, the effective data samples can be selected. The cloud association degree was then calculated between the samples cloud matter element model and the standard cloud matter element model of power quality evaluation indices. The combination weight coefficients were determined by means of modifying the subjective weights calculated with analytic hierarchy process method. The result of electric power quality level of the wind farm was finally obtained. The simulation example demonstrates that the proposed method is efficient and practical to evaluate the power quality of the wind farm.

引用

页码：205 / 210

页数：5

共 24 条

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