Solution of Various Economic Load Dispatch Problems Using Wild Horse Optimizer

Abstract

This article presents a new optimization approach called the Wild Horse Optimizer (WHO). It is designed to be user-friendly, effective, and to converge rapidly when addressing economic dispatch (ED). Given that ED is a nonlinear and complex optimization problem, the primary goal of the WHO is to minimize overall generation costs while adhering to the system's equality and inequality constraints. The Combined Economic Emission Dispatch (CEED) problem is also considered, which considers the environmental impacts stemming from the emissions of gaseous pollutants produced by fossil-fueled power plants. To demonstrate the capabilities of the WHO, various networks with 3, 6, 10, 13, 15, and 40 stations have been tested and applied to resolve multiple ED scenarios, including factors such as valve point effects, losses, and prohibited operating zones. The simulation results indicate that the WHO's approach is significantly more effective than the methods found in current academic literature. This analysis highlights the strengths of the WHO's strategies compared to alternatives, suggesting they may offer better solutions to the challenges identified in previous studies.