Abstract
In this paper, an algorithm is presented to obtain the parameters of reward and penalty schemes (RPSs) for each electric company using Data Envelopment Analysis (DEA). This algorithm is based on reliability indices and customers’ value of interruptions. The companies’ efficiency scores are calculated using a DEA methodology. The companies’ efficiency scores are based on their performance in quality and the best performer is utilized as a benchmark for other companies. DEA efficiency score and historical quality level are used to set a quality target for each electric distribution company. In this algorithm more than one reliability index can be included in RPS and weighting value for each reliability index is calculated based on their impacts on the customers. The performance of the proposed algorithm is demonstrated in a case study to design RPS for Iranian electricity distribution companies. The results of the algorithm include DEA efficiency score, parameters of RPS and weighting value for each reliability index.
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