A solution to the Optimal Power Flow using Artificial Bee Colony algorithm

Abstract

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 Neural Networks, Genetic Algorithms, Particle Swarm Optimization and other Swarm Intelligence techniques have also received great attention. This paper described the use of Artificial Bee Colony (ABC), which is one of the latest computational intelligence to solve the OPF problems. The results show that solving the OPF problem by the Artificial Bee Colony can be as effective as other swarm intelligence methods in the literature.