Dynamic Feeder Reconfiguration in Automated Distribution Network Integrated with Renewable Energy Sources with Respect to the Economic Aspect

In distribution systems, feeder reconfiguration and capacitor switching can lead to power loss reduction, reliability improvement and keep the voltage within its allowable range. Distribution feeder reconfiguration (DFR) is an optimization problem in distribution systems which is used to improve the distribution network performance by changing the status of switches. In this study, a multi-objective framework is presented for dynamic DFR (DDFR) and capacitor switching (CS) problem in distribution networks over multiple time intervals considering distributed generators, energy storages and solar photovoltaic units. The objective functions in this problem are the operation cost and energy loss. Considering the importance of economic aspects in distribution networks in this study, the effect of demand response program (DRP) is considered to minimize the operation cost in DDFR and CS (DDFR&CS) problem. Considering the inherent complexity of the DDFR&CS problem, it leads to the presentation of a hybrid evolutionary algorithm to solve the proposed problem. For this purpose, this paper proposes a new hybrid evolutionary algorithm based on a combination of the particle swarm optimization and modified shuffled frog leaping algorithm to solve the multi-objective DDFR&CS problem.