Distribution system feeder reconfiguration considering different model of DG sources

This work presents a methodology for distribution system feeder reconfiguration considering different model of DGs with an objective of minimizing real power loss. The distributed generation availability of wind turbines, solar photovoltaic panels and fuel cell etc., are classified into different models according to their operation modes and control characteristics. Decimal coded quantum particle swarm optimization (DQPSO) has been applied to solve feeder reconfiguration of DGs. The method applies decimal encoding to quantum particle swarm optimization (QPSO), which can decrease the particle length, generate few infeasible solutions and have better search efficiency. Aiming to the problem that the reactive power output of PV model sometimes exceeds the limit, this paper researches the impact factors of the output reactive power during reconfigurations, such as rated active power and rated voltage magnitude. The method has been tested on IEEE 33-bus and PG&E 69-bus radial distribution systems to demonstrate the performance and effectiveness of the proposed method. (C) 2014 Elsevier Ltd. All rights reserved.