A hybrid cultural-based Bee Colony Algorithm for solving the optimal power flow

Optimal Power Flow (OPF) is one of the most vital tools for power system operation analysis, which requires a complex mathematical formulation to find the best solution. Conventional methods such as Linear Programming, Newton-Raphson and Non-linear Programming were previously offered to tackle the complexity of the OPF. However, with the emergence of artificial intelligence, many novel techniques such as artificial intelligence and swarm intelligence approaches have also received great attention. This paper described the use of Cultural-based Bee Colony to solve the OPF problems. The results show that solving the OPF problem by the Cultural-based Bee Colony are more effective than other swarm intelligence methods in the literature.