基于改进云物元模型的风电场电能质量评价

An Improved Cloud Matter Element Model Based Wind Farm Power Quality Evaluation

提出了种基于改进云物元模型的风电场电能质量评估方法。融合电压暂降倍数和暂降时间提出了电压暂降评价指标,考虑到风电场数据采集的局限性,对风电场中采集的有限个数据进行处理,首先将这些数据构造成个样本云物元模型,并利用正态分布中的3?原则取样,计算样本云物元模型与电能质量各评估指标的等级界限云物元模型之间的关联度,通过对层次分析法得到的主观权重进行修正,形成综合权重向量,从而得到风电场的电能质量评估结果。仿真结果验证了该方法的实用性和有效性。

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 3δ 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.