Dynamic Economic Load Dispatch Problem in Power System Using Iterative Genetic Algorithm

The economic load dispatch and social security as its name implies requires that generating units must be paired in order to optimize operating cost. In the power sector, the generating system's financial operation is consistently elementary. In order to reduce system operating costs, the best generator combination should be determined. In this study, the genetic algorithm (GA) based on iterative technology has been proposed that can be used to find the ideal method for dynamic economic load dispatch (DELD) problem. With this innovative research technology, the fuel consumption and the operating costs can be lowered while maintaining all the limitations of the system. For all the generation units, this iteration-based genetic algorithm (IGA) will be able to determine the best schedule of generation while considering constraints like ramp rate, valve point effect and transmission losses etc. The simulation is performed on five generating systems over the course of a 24-hour period using the IGA, and the results are compared with standard genetic algorithms and other traditional techniques for ensure the sustainability of the proposed method.