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基于主成分分析法的线损指标评价

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基于目前主流的线损指标评价方法依赖于专家评判确定指标权重具有主观随意性大的弊端,提出了一种新的线损指标评价方法——主成分分析法.主成分分析法是基于客观指标数据进行评价的多元统计方法.建立了基于主成分分析法的线损指标评价模型,并结合理论线损进行模型优化.通过算例介绍了主成分分析法求解线损指标评价问题的具体步骤.算例结果证明基于主成分分析法的线损指标评价结果合理、可信.
Index Evaluation of Line Loss Based on Principal Component Analysis
The index evaluation of line loss is a scientific method to make quantitative analysis of line loss through a series of index calculation,which provides power sector with the theoretical basis to implement loss reduction measures.Currently,the most widely used line loss index evaluation method depends on expert subjective evaluation of index weight.To solve this problem,a new index evaluation method,Principal Component Analysis (PCA),is proposed.PCA is a kind of multivariate statistical analysis method based on objective index data.In this paper,a PCA-based line loss index evaluation model is established and optimized in combination with theoretical line loss.Finally,a simple example illustrates the process to solve index evaluation problem based on PCA.It is verified that evaluation results based on PCA are reasonable and reliable.

Principal Component Analysisindex evaluation of line lossmodel optimization

陆嘉铭、高洁

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国网上海市电力公司,上海200122

主成分分析法 线损指标评价 模型优化

2014

华东电力
华东电力试验研究院有限公司

华东电力

CSTPCD
影响因子:0.551
ISSN:1001-9529
年,卷(期):2014.42(9)
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