Comparative Analysis Model for Lambda Iteration, Genetic Algorithm, and Particle Swarm Optimization-Based Economic Load Dispatch for Saudi Arabia Network System

The main objective of this work is to implement the genetic algorithm (GA)-based economic load dispatch (ELD) for a Saudi Arabia system network with comparative analysis. Different mathematical and probabilistic methods are used to solve ELD problems. This paper presents GA and particle swarm optimization (PSO) to solve ELD problem, also compare with conventional techniques the same as lambda iteration. The fuel cost has been compared for Saudi Arabia system network. All results have been done in MATLAB programming environment. The results have been proved that the GA is best for ELD problem than other conventional methods for a power system network.