Optimizing Multi-objective Combined Economic Dispatch Problem using MOBMO

Abstract

This project presents the development and application of the Multi-Objective Barnacles Mating Optimization (MOBMO) algorithm in resolving Multi-Objective Economic Dispatch (MOED) problems in power generation systems. The MOBMO algorithm, inspired by barnacles' mating behavior, integrates adaptive exploration and exploitation strategies to minimize both the generation cost and environmental emissions in complex non-convex dispatch scenarios, particularly those with the Valve Point Effect (VPE) effect. The strategy employs a weighted sum technique for dual objective mapping into a single fitness function to facilitate efficient multi-objective optimization. Simulation was executed on the IEEE 30-Bus Reliability Test System using various active power loading levels (load multipliers 1.1 and 1.2).