This paper presents a novel algorithm based on particle swarm optimization (PSO) to estimate the states of electric distribution networks. In order to improve the performance, accuracy, convergence speed, and eliminate the stagnation effect of original PSO, a secondary PSO loop and mutation algorithm as well as stretching function is proposed. For accounting uncertainties of loads in distributi...

In the event of a severe incident with a high impact and low probability of occurrence, distribution networks may be separated from upstream networks and several feeders may be disconnected simultaneously within the distribution networks. In such circumstances, to maximize the resilience of the distribution networks and to prevent long-term global outages, they are reconfigured and islanded to ...

One of the ways of reducing active power losses in the distribution networks is using the network reconfiguration for different load levels. Since the number of possible configuration of a distribution network is usually very much and then review of all of them (especially in the network of large-scale) to finding the optimal configuration is not possible simply, therefore in this paper a new a...

The integrated planning of distribution system reveals a complex and non-linear problem being integrated with integer and discontinues variables. Due to these technical and modeling complexities, many researchers tend to optimize the primary and secondary distribution networks individually which depreciates the accuracy of the results. Accordingly, the integrated planning of these networks is p...

In recent years, climate change and increasing occurrence rate of high-impact rare (HR) natural events such as hurricanes have made it difficult to supply uninterrupted power to end-user customers. The extensive geographic area of electric distribution networks, as the last ring of the energy supply chain in power systems, has increased the vulnerability of these networks against natural events...