Effect of Load Models on the Optimal Allocation of Solar and Wind Distributed Generation Using Stochastic Approach

Integration of renewable type of distributed generation (DG) system specifically solar and wind has provided multiple benefits including positive environmental impact. However, improper allocation may result in increased voltage fluctuations and system losses. In this paper, comparison of optimal allocation for different solar and wind DG scenarios based from loss reduction and voltage improvement was made. DG and load models were considered to determine their effect in the distribution network. Simulations were implemented to IEEE 37bus test system using Genetic Algorithm in the Component Object Model interface of MATLAB and OpenDSS. The study shows that the integration of both solar and wind DGs with constant power factor lagging model resulted in the most significant improvement in a system with commercial load model.