Distribution automation reliability analysis using Markov models

In the smart-grid era, distribution power systems are undergoing a great deal of renovation. Utilities, more than ever before, are adopting technologies that aim primarily at enhancing the reliability of the power delivery systems in a safe and sustainable manner. In this paper, we analyze the reliability enhancements that distribution automation technologies bring to power distribution systems. We offer a look at the reliability of three different utility power distribution system topologies: the first topology is a classical utility distribution feeder design where circuit reconfiguration and load transfer is only possible through manual field operations. In the second topology, a SCADA controlled switch replaces the manual switch in the first topology, where circuit reconfiguration and load transfer can be achieved quickly and remotely. In the third topology, automated SCADA controlled switches are installed on the distribution feeders, allowing automatic circuit reconfiguration and load transfer functionality. We evaluate and compare the performance of the three topologies using Markov models, computing in the process the key reliability and availability metrics.