A COMPREHENSIVE LITERATURE SURVEY ON COMBINE ECONOMIC AND EMISSION DISPATCH

Abstract

The modern economy is totally depends on the electricity as a basic input. This is turn has led to the increase in the number of power generating stations and their capacities and the consequent increase in power transmission lines which connects the generating stations to the load centers. The generation of electricity from fossil fuel releases several contaminated elements, such
as Sulphur Dioxide (SO2), Nitrogen Oxides (NOx) and Carbon Dioxide (CO2) into atmosphere which pollute the environment. This leads to the formulation of combined economic and emission dispatch (CEED) problem. Recently researchers are developing different soft computing techniques to solve the combine economic and emission dispatch (CEED) problem. This paper presents a
review which deals with problems of combine economic load and emission dispatch (CEED) which are solved by different techniques which mainly include Conventional Techniques, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA) Artificial Bee Colony Algorithm (ABCA) and other alternative techniques