Electric distribution systems around the world are witnessing an increasing number of utility-owned and customer-owned intelligent systems like reclosers, microgrids, distributed automation, solar photovoltaic generation, behind-the-meter energy storage, and electric vehicles being deployed. While these deployments provide potential data and control points, the existing centralized control architectures do not have the flexibility or the scalability to integrate the increasing number or variety of devices. An important element of managing distribution systems is its ability to reconfigure the network to maintain resiliency of critical end-use loads during extreme events. The optimization of network reconfiguration has been studied previously in the literature, however, these works have not included the additional flexibility available through the increasing adoption of distribute energy assets and the additional control capabilities available through distributed automation devices like recloser switches as well as the dynamics involved in using these devices. The invention formulates the reconfiguration problem as an optimization algorithm and handles complex constraints that include the legacy power flow, generating capacity, power demand, and network stability constraints. The optimization also incorporates the availability of flexible distributed energy resources and microgrid assets for increased system resiliency and accounts for the dynamic switching constraints introduced through the adoption of recloser switches in the network that allow for superior control and communications. Additionally, the optimization not only calculates the status of recloser switches but also the optimal sequence of switching operations for reconfiguration which is beneficial in a transactive market capable of leveraging customer-owned assets.