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Performance evaluation for DNO governance using data envelopment analysis method

Smart performance evaluation of Distribution Network Operators (DNOs) is an essential part of their effective governance task. This paper focuses on benchmarking twenty one districts of the Greater Tehran Electricity Distribution Company (GTEDC) using Data Envelopment Analysis (DEA). Three methods are employed, namely: CCR (Charnes, Cooper, and Rhodes), SBM (Slack Based Measurement), and WSBM (Weighted Slack Based Measurement). The results consist of efficiency scores of CCR, SBM, and WSBM with slacks analysis for the latter. Based on the WSBM results, weak districts are clarified and necessary improvements are suggested.