Improving the reliability of power distribution systems is critically important for both utilities and customers. This calls an efficient service restoration module within a management system to support implementation self-healing smart grid networks. Although emerging technologies, including distributed generators (DGs) remote-controlled switches, enhance capability allow faster recovery, they...

Hurricane events can cause severe consequences to the secure supply of electricity systems. This article designs a novel two-stage approach minimize hurricane impact on distribution networks by automatic system operation. A dynamic model is developed, which has variational wind intensity and moving path. The then presents resilience enhancement scheme that considers predisaster strengthening po...

this paper deals with the problem of optimizing two-stage structure decision making units (dmus) where the activity and the performance of two-stage dmu in one period effect on its efficiency in the next period. to evaluate such systems the effect of activities in one period on ones in the next term must be considered. to do so, we propose a dynamic dea approach to measure the performance of su...

Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs) which uses a set of inputs to produce a set of outputs. In some cases, DMUs have a two-stage structure, in which the first stage utilizes inputs to produce outputs used as the inputs of the second stage to produce final outputs. One important issue in two-stage DEA is the sensitivity of...

Data envelopment analysis is a nonparametric technique checking efficiency of DMUs using math programming. In conventional DEA, it has been assumed that the status of each measure is clearly known as either input or output. Kao and Hwang (2008) developed a data envelopment analysis (DEA) approach for measuring efficiency of decision processes which can be divided into two stages. The first stag...