Quasi-oppositional gravitational search algorithm applied to complex economic load dispatch problem

This paper proposes an extension of the gravitational search algorithm (GSA) named quasi- oppositional GSA (QOGSA) to solve nonlinear economic load dispatch (ELD) optimization problems by considering valve point loading effects. QOGSA employs opposition-based population initialization and generation jumping to accelerate convergence speed of conventional GSA. ELD is a significant optimization problem in power system to distribute load demand reasonably and scientifically so that fuel cost can be minimized while satisfying various operational constraints. The proposed algorithm is tested in two standard systems of 10-unit and 40-unit. Comparison of numerical results with other well established techniques demonstrates higher performance scheme both in quality of solution and computational efficiency.