Presenting a Novel Hybrid Approach for Multi-Objective Distribution Feeder Reconfiguration Considering the Importance of Reliability

Since it might delay making significant expenditures in substations and generation, increasing the efficiency of power systems is an important priority. By altering the status of switches, the distribution feeder reconfiguration (DFR) can reduce system losses in this regard. Power loss and voltage deviation of buses are frequently taken into account as objective functions while solving the distribution feeder reconfiguration problem, however reliability indices have received less consideration. The proposed reliability index, coupled with power loss and switching number in the presence of distributed generators, are used in this study to address DFR as a multi-objective problem. The DFR problem is complex inherently, considering impacts of distributed generators makes the problem more be complex than before. For this purpose, an evolutionary method based on the combination of particle swarm optimization and modified shuffled frog leaping has been used to solve the nonlinear optimization problem in this study. Two 33-bus and 70-bus systems are evaluated to gauge the effectiveness of the suggested hybrid algorithm.