Multi objective dynamic economic emission dispatch with renewable energy and emissions

Abstract

In this paper, a fully-constrained five objective multi objective dynamic economic emission dispatch (MODEED) problem with thermal, wind, solar, line losses and emissions is considered. More accurate cubic cost functions for thermal, losses and emissions objectives and high potential renewable energy (RE) have been used. Modified Firefly Algorithm with Levy Flights and Derived Mutation (MFA-LF-DM) illustrates the optimization of MODEED on IEEE 6-unit system. MATLAB simulation results reveal that MODEED distributes thermal and renewable power production to optimize fuel cost and pollutants simultaneously. Wind power led to the best reduced emissions, solar resulted in the best reduced cost but RE-mix resulted in optimal cost and emission.