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A Deterministic Approach For Performance Assessment And Optimization Of Power Distribution Units In Iran

机译:伊朗配电装置性能评估和优化的确定性方法

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摘要

This paper presents a deterministic approach for performance assessment and optimization of power distribution units in Iran. The deterministic approach is composed of data envelopment analysis (DEA), principal component analysis (PCA) and correlation techniques. Seventeen electricity distribution units have been considered for the purpose of this study. Previous studies have generally used input-output DEA models for benchmarking and evaluation of electricity distribution units. However, this study considers an integrated deterministic DEA-PCA approach since the DEA model should be verified and validated by a robust multivariate methodology such as PCA. Moreover, the DEA models are verified and validated by PCA, Spearman and Kendall's Tau correlation techniques, while previous studies do not have the verification and validation features. Also, both input- and output-oriented DEA models are used for sensitivity analysis of the input and output variables. Finally, this is the first study to present an integrated deterministic approach for assessment and optimization of power distributions in Iran.
机译:本文提出了一种确定性的方法,用于伊朗的配电装置的性能评估和优化。确定性方法由数据包络分析(DEA),主成分分析(PCA)和相关技术组成。为了该研究的目的,已经考虑了十七个配电单元。先前的研究通常将投入产出DEA模型用于对配电单元进行基准测试和评估。但是,由于DEA模型应通过健壮的多元方法(例如PCA)进行验证和验证,因此本研究考虑了集成的确定性DEA-PCA方法。此外,DEA模型通过PCA,Spearman和Kendall的Tau相关技术进行了验证和验证,而先前的研究则没有验证和验证功能。同样,面向输入和面向输出的DEA模型都用于输入和输出变量的敏感性分析。最后,这是第一个提出用于评估和优化伊朗电力分配的综合确定性方法的研究。

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