Simultaneous Distribution Network Reconfiguration and Optimal Distributed Generations Integration using a Pareto Evolutionary Algorithm

Abstract

Several studies of distribution network enhancement focused only on the optimization of either the integration of distributed generations (DG) or network reconfiguration. However, very few researches have been done for distribution network reconfiguration simultaneously with the DG location and sizing. This paper proposes a multi-objective operations management based on network reconfiguration in parallel with DGs allocation and sizing for minimizing active power loss, annual operation costs (installation, maintenance, and active power loss costs) and improving the power system voltage profile. An original Pareto-based evolutionary algorithm is proposed to equally optimize multiple objective functions providing Pareto optimal solutions, where the network manager can select an option. Simulations are successfully carried out on IEEE 33 bus test system for a single and multiple DGs optimal integration. The obtained results show the beneficial effects of applying these multi-objective operations management for multiple DGs integration in the distribution network.