Monte Carlo Simulation and a Clustering Technique for Solving the Probabilistic Optimal Power Flow Problem for Hybrid Renewable Energy Systems

This paper proposes a new, metaheuristic optimization technique, Artificial Gorilla Troops Optimization (GTO), for hybrid power system with photovoltaic (PV) and wind energy (WE) sources, solving the probabilistic optimum flow (POPF) issue. First, selected algorithm is developed evaluated such that it applies to solve classical (OPF) approach total fuel cost as objective function. Second, proposed used POPF, including PV WE considering uncertainty of these renewable sources (RESs). The performance suggested was confirmed using standard test systems IEEE 30-bus 118-bus. Different scenarios involving different sets fixed variable loads were considered in this study. comparison obtained results from other algorithms mentioned literature has efficiency providing optimal solutions system. Furthermore, showed penetration significantly reduces