Abstract

This paper introduces a novel optimization algorithm for solving the economic dispatch (ED) problem in power systems. Tested on a three-generator system with load demands of 585 MW, 700 MW, and 800 MW, it is compared against ten metaheuristic algorithms, including Harmony Search, Cuckoo Search, Flower Pollination Algorithm, Memetic Algorithm, Bee Algorithm, Wolf Search Algorithm, Cat Swarm Optimization, Krill Herd Algorithm, Monkey Search, and Shuffled Frog Leaping Algorithm. The study evaluates total generation cost, computation time, output variability, and convergence. The proposed algorithm demonstrates superior cost efficiency and speed, making it ideal for real-time ED applications.