摘要
电能质量指标95概率大值是电能质量领域基础数据之一,是执行电能质量统计、分析和评估的重要依据。目前多采用排序算法来计算电能质量指标95概率大值,但实践中发现该算法在大数据量下性能迅速下降,无法满足实际应用需要。基于正态分布及标准化变换理论提出一种95概率大值新算法,对算法原理、流程进行了详细说明,并针对新老算法进行比对性试验。试验证明新算法在准确度上满足要求,且具有更高的计算效率,因此具有良好的应用前景。
The 95 probability value of power quality index was one of the basic and important data for the implementation of the statistics, analysis and assessment of power quality. Sorting algorithm was most often used currently to calculate 95 probability value of power quality index, and was proved in practice to have poor performance especially in a system with large amount of data, which could not meet practical application requirement. A new algorithm based on normal distribution and standardized transformation theory was brought out to calculate 95 probability value of power quality index. and the comparison test was made between new and old algorithm. ments of accuracy, but also had a higher computational efficiency, The principle and process of the algorithm were described in detail, The test proved that new algorithm could not only meet the require- which had good application prospects.
出处
《贵州电力技术》
2014年第4期28-30,39,共4页
Guizhou Electric Power Technology
关键词
电能质量
95概率大值
正态分布理论
正态性检验
power quality
95 probability value
normal distribution theory
normality test
