Economic Load Dispatch Using Genetic Algorithm (GA) Method

In power system operations, Economic Load Dispatch (ELD) represents a critical optimization problem. The Genetic Algorithm (GA) method provides an effective solution to achieve optimal load distribution. GA is a metaheuristic algorithm inspired by natural selection processes, capable of finding near-optimal solutions across various scenarios. The implementation typically involves encoding generator outputs as chromosomes and using fitness functions based on marginal cost calculations. Key implementation aspects include: - Chromosome representation of generator power outputs - Fitness function evaluation using marginal cost minimization - Selection, crossover, and mutation operations for solution evolution - Constraint handling for generator limits and power balance Through GA's iterative optimization process, the method determines optimal load allocation by minimizing total generation costs while meeting system demand. This approach not only satisfies power system operational requirements but also enhances energy utilization efficiency. The algorithm's robustness makes it suitable for handling non-linear cost functions and multiple constraints in practical power systems.