CONSTRAINT OPTIMAL POWER FLOW BASED ON ANT COLONY OPTIMIZATION

Abstract

The Ant Colony Optimization ACO technique simulates the real ant colonies movements to find the best solution for huge optimization problems according to a group of agents called ants. In this article, the Ant Colony Optimization is used to solve a single objective function of Optimal Power Flow OPF problem with satisfied a set of the system constraints. ACO technique minimizes the objective function based on choosing an optimal control variables from their limits satisfying the state variables constraints. The performance of ACO in solving OPF problems has been demonstrated on the IEEE-30 bus system with different objective functions such as fuel cost minimization, voltage profile improvement and active power losses minimization. The results acquired through the simulation were good when compared with other optimization techniques reported in the literature. The outcomes suggest that this technique is effectively resolving the power system with vastly ranged network.