Economic Load Dispatch Using Glowworm Swarm Optimization

Abstract

Economic load dispatch (ELD) is an important issue in the energy scheme that is tried by allocating the
generation through a set of units to minimize fuel costs and is subject to equality and inequality limitations linked to
power balance and power production, respectively. ELD is formulated as a non-convex, nonlinear, constrained problem
of optimization that can not be easily solved using conventional techniques. This paper introduces a fresh stochastic
optimization strategy to fix ELD problems using Glowworm Swarm Optimization (GSO). GSO is a recently established
derivative-free, meta-heuristic optimization algorithm that inspires as its agents the swarm of glowworms. The agents are
considered the prospective solutions to an issue. It is memoryless and does not involve the understanding of any
worldwide data. The solution methodology is easy to solve ELD issues with distinct limitations, such as power balance,
generator ramp rate restrictions, and forbidden working areas. Simulations are carried out on two test schemes with
distinct generating unit numbers. In addition, a comparative research is conducted with approaches to GA and PSO. The
results support the robustness and skill of the suggested GSO-based ELD methodology over the other current methods.