CAJ | 학술논문

提出了一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一个样本云物元模型，并利用正态分布中的3σ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。
제출료일충기우개진운물원모형적풍전장전능질량평고방법。융합전압잠강배수화잠강시간제출료전압잠강평개지표，고필도풍전장수거채집적국한성，대풍전장중채집적유한개수거진행처리，수선장저사수거구조성일개양본운물원모형，병이용정태분포중적3σ원칙취양，계산양본운물원모형여전능질량각평고지표적등급계한운물원모형지간적관련도，통과대층차분석법득도적주관권중진행수정，형성종합권중향량，종이득도풍전장적전능질량평고결과。방진결과험증료해방법적실용성화유효성。
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 3σprinciple 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.