Best Complex Power Settings Using Ant Lion Optimizer for Optimal Power Flow Problem

The paper intends to solve an electric power dispatch problem, which is a multiple non-commensurable objective problem, minimizing operating cost, adhering to pollution norms, and ensuring low transmission loss and no violations on voltage levels subject to various constraints considering the nonlinear characteristics of generators. Improved control settings such as generator powers, bus voltage magnitudes, transformer taps and shunt capacitor settings for individual minimization of objectives are obtained by a new algorithm called Ant Lion Optimizer (ALO). The best solution records of IEEE-30 bus and New England power systems are updated in this work. To further demonstrate the efficiency and effectiveness of the ALObased Optimal Power Flow (OPF), it has been compared with other state-of-the-art evolutionary algorithms on this domain. Comprehensive simulation results with various case studies show a great potential for application of ALO in OPF problems