摘要：Economic dispatch is a crucial process conducted by the utilities to correctly determine the
satisfying amount of power to be generated and distributed to the consumers. During the
process, the utilities also consider pollutant emission as the consequences of fossil-fuel
consumption. Fossil-fuel includes petroleum, coal, and natural gas; each has its unique chemical
composition of pollutants i.e. sulphur oxides (SOX), nitrogen oxides (NOX) and carbon oxides
(COX). This paper presents multi-pollutant emission dispatch problem using computational
intelligence technique. In this study, a novel emission dispatch technique is formulated to
determine the amount of the pollutant level. It utilizes a pre-developed optimization technique
termed as differential evolution immunized ant colony optimization (DEIANT) for the emission
dispatch problem. The optimization results indicated high level of COX level, regardless of any
type of fossil fuel consumed.
