Economic load dispatch (ELD) problem considering valve point effect and wind power is a large
scale mixed-integer nonlinear problem. Solving this problem is one of the critical tasks in electric
power system operation. So, proposing an accurate method to solve this problem is of great
interest. Shuffle frog leaping algorithm (SFLA) is recently proposed to solve many optimization
problems but it has some problems. It is often being trapped in local optima. In this paper, a
hybrid shuffle frog leaping algorithm and genetic algorithm (HSFLAGA) is proposed to solve this
problem. The proposed algorithm can be derived by combining the SFLA and genetic crossover
and mutation operators so that the drawbacks of original SFLA algorithm can be treated before
employing it to solve the ELD problem with valve point effect and wind power. To show the
effectiveness of the HSFLAGA algorithm, several test systems with different numbers of
generating units are used. The results of the proposed HSFLAGA algorithm are compared with
those obtained by other published methods employing same test systems. The obtained results
prove the efficiency and the superiority of HSFLAGA algorithm over other published methods.