Title :
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
fDate :
7/1/2002 12:00:00 AM
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;
Journal_Title :
Power Engineering Review, IEEE
DOI :
10.1109/MPER.2002.4312405