Optimal Planning of Distributed Generation Based on African Vultures Optimization Algorithm

With the continuous impact of environmental pollution, the traditional generator represented by fossil fuels is gradually being replaced by renewable energy generators. Different from the conventional optimal planning, which only includes photovoltaic (PV) and wind turbines. This paper adds the use of fuel cells (FC) and miniature steam turbines with PV systems and wind turbines, which can make up for the defect of fluctuation of its output power. In addition, a multi-objective model considering power loss, voltage profile, and investment cost is established and solved by the African vultures optimization algorithm (AVOA). Finally, the simulation is based on IEEE 33 and 69 node distribution network (DN) systems. The results show that AVOA has a fast convergence speed and strong optimization characteristics, and can improve voltage distribution after distributed generation (DG) access. The simulation results show that the power loss and voltage profile decreased by 57% and 58% at the IEEE 33 and 64% and 61% at the IEEE 69 node after being connected to DG.