Krill herd algorithm applied to short-term hydrothermal scheduling problem

Abstract

In this paper, krill herd algorithm (KHA) technique is employed to solve the short-term hydrothermal scheduling (HTS) problem. In this article, the potentialities of DE are used in KHA technique to improve the convergence speed and robustness. The practical short-term HTS problem is solved here using KHA technique in which the crossover and mutation operation of differential evolution algorithm (DEA) is employed to efficiently control the local and global search, so that premature convergence may be avoided and global solutions can be achieved. The quality and usefulness of the proposed algorithm is demonstrated through its application to two standard test systems. The simulation results reveal that the current proposal is better in comparison with the other existing techniques in terms of computational time and the quality of the solutions obtained.

Keywords

• Hydrothermal scheduling
• Valve point loading
• Differential evolution
• Evolutionary algorithms
• Krill herd algorithm