In this paper, a hybrid optimization algorithm combined Multi-Objective Dragonfly Algorithm (MODA) with time-varying management is presented to search optimal power flow of distributed power network. A numerical model is built to simulate and investigate the impact of intermittent energy and the change of load demand. Then, the distributed battery generators are integrated into the distribution network to compensate the above negative impact. The objectives consist of minimizing power losses, improving the voltage stability by searching the optimal placement of distributed battery systems. The algorithm is proven to be effective and it also has the potential to be used in the planning of any Smart Grid (SG) system.
Keywords System modelling, Optimal placement, Battery storage, MODA