Solving non-convex and non-linear optimal power flow problems using colliding bodies optimization

This paper presents a novel meta-heuristic algorithm called colliding bodies optimization (CBO) method to solve the optimal power flow (OPF) problems with non-smooth cost functions. It is based on the one-dimensional collision between two agents. Each agent in the search space is considered as an object or body and measured their performances with masses and velocities and the collision leads to move the objects with new velocities towards better positions. The performance of the proposed method is demonstrated on standard 9-bus and 26-bus systems with different objective functions that reflect the minimization of fuel cost, fuel cost minimization with voltage profile improvement and minimization of transmission loss. Based on comparison of the simulation results, it is confirmed that the proposed method is an alternative approach to tackle the OPF problems.