Multi-Objective Distribution Feeder Reconfiguration Considering Reliability in the Presence of Distributed Generators

Abstract

Improving the efficiency of power systems is a major concern as it provides various benefits including deferment of large investments in substations and generation. In this regard, the distribution feeder reconfiguration (DFR) can help reduce system losses by changing the status of switches. In solving the DFR problem, power loss and voltage deviation of buses are commonly considered objective functions, but less attention has been paid to the reliability indexes as objective functions. In this study, DFR is solved as a multi-objective problem using the proposed reliability index along with power loss and switching number in the presence of distributed generators. A powerful hybrid algorithm based on the combination of particle swarm optimization and modified shuffled frog leaping is proposed to solve the DFR problem. To evaluate the efficiency of the proposed hybrid algorithm, two 33-bus and 70-bus systems are tested.