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A deterministic approach for performance assessment and optimization of power distribution units in Iran

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  • Azadeh, A.
  • Ghaderi, S.F.
  • Omrani, H.

Abstract

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.

Suggested Citation

  • Azadeh, A. & Ghaderi, S.F. & Omrani, H., 2009. "A deterministic approach for performance assessment and optimization of power distribution units in Iran," Energy Policy, Elsevier, vol. 37(1), pages 274-280, January.
    • Handle: RePEc:eee:enepol:v:37:y:2009:i:1:p:274-280
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    3. Patyal, Vishal Singh & Kumar, Ravi & Lamba, Kuldeep & Maheshwari, Sunil, 2023. "Performance evaluation of Indian electricity distribution companies: An integrated DEA-IRP-TOPSIS approach," Energy Economics, Elsevier, vol. 124(C).
    4. S P Santos & C A F Amado & J R Rosado, 2011. "Formative evaluation of electricity distribution utilities using data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1298-1319, July.
    5. Ali Azadeh & Mansoureh Hasannia Kolaee & Vahid Salehi, 2016. "The impact of redundancy on resilience engineering in a petrochemical plant by data envelopment analysis," Journal of Risk and Reliability, , vol. 230(3), pages 285-296, June.

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