Abstract
In this paper a new methodology for dynamic service restoration (DSR) of distribution grids is proposed and tested. The approach utilizes the dynamic load curves of the case study grid. The Time variable load profile is applied to design an effective service restoration plan. This new method proposes an optimization algorithm to find candidate networks for reducing frequency and duration of customer interruptions. During the service restoration period the network configuration is altered in each hour to minimize frequency and duration of outages. Service restoration plan with global dynamic characteristics is one of the major contributions of the study. A constrained multi-objective mathematical model is forming the DSR methodology. The approach is tested on a 70-node distribution system. Comparing the simulation results to the existing literature show a great deal of advancement in providing a fast, secure and reliable service restoration plan in distribution feeders.