Performance Evaluation of Electric Distribution Utilities Based on Data Envelopment Analysis

Author

Pahwa, Anil ; Feng, Xiaowei ; Lubkeman, David

Author_Institution

Kansas State University, Manhattan, KS; ABB, Inc., Raleigh, NC

Volume

22

Issue

7

fYear

2002

fDate

7/1/2002 12:00:00 AM

Firstpage

58

Lastpage

58

Abstract

In this paper, a method for benchmarking performance of electric distribution utilities based on data envelopment analysis (DEA) is presented. Basic theory of DEA is followed by case studies addressing performance analysis of the 50 largest (based on MWh sales) electric distribution utilities in the U.S. The results include performance efficiency, gaps in inputs and outputs of inefficient utilities, sensitivity-based classification of utilities, and a gap report. Also, peer-to-peer comparison of inefficient and efficient utilities is provided. Based on these results, inefficient utilities can develop strategic plan to improve perfortnance.

Keywords

Costs; Data envelopment analysis; Electricity supply industry deregulation; Industrial power systems; Linear programming; Optimization methods; Performance analysis; Power generation; Power system planning; Power system reliability; Strategic planning; data envelopment analysis; decision making; gap analysis; performance benchmarking;

fLanguage

English

Journal_Title

Power Engineering Review, IEEE

Publisher

ieee

ISSN

0272-1724

Type

jour

DOI

10.1109/MPER.2002.4312405

Filename

4312405