Swarm intelligence algorithms for solving dynamic load dispatch problem

Approaches to solving the dynamic load dispatch problem for an isolated power system consisting of power stations and consumers are considered. The distinction of this task is moving during day power demand. The transition from a problem with constraints characterizing the physical and operational properties of power generators to a problem without ones but with the use of fines functions is described. Two swarm intelligence algorithms were used: particle swarm optimization algorithm and grey wolf optimizer algorithm. A set of experiments are conducted on the use of developed algorithms and analysis of the obtained results is given.