Optimal Allocation of Renewable Energy Resources in the Smart Distribution Network with Considering Impacts of Load variation

Considering different peak load states in the optimal siting and sizing of distributed generation unit (DG) to minimize total investment cost and voltage drop is presented in this work. Photovoltaic system (PV) and energy storage system (ESS) are applied as DGs. All of uncertainties are shown in the scenario tree method (STM). The effectiveness of the proposed model is analysed in the 33 bus IEEE test system using the genetic algorithm (GA). All of simulations are carried out by considering 3 different scenarios. The numerical results verify the effectiveness of the proposed method in reducing total economic cost and improving the voltage profile of the system.