A Review on Combined Economic and Emission Dispatch using Evolutionary Methods

ABSTRACT: Economic load dispatch is an important optimization problem in power system. Due to the harmful effects of the emission released by fossil fueled electric power plants, Emission Dispatch plays an important role in power industry. This leads to the formulation of combined economic and emission dispatch (CEED) problem. This paper presents a review on evolutionary methods for solving combined economic and emission dispatch problems which mainly include Genetic Algorithm based approach, Particle Swarm Optimization (PSO), Differential Evolution (DE),Strength Pareto Evolutionary Algorithm (SPEA), Artificial Immune System (AIS) which will encourage the researches for providing better solution for CEED optimization in power system. Keywords: Combined economic and emission dispatch (CEED), Evolutionary algorithm, GA, PSO, DE, SPEA, AIS. I.INTRODUCTION The aim of power industry is to generate electrical energy at minimum cost while satisfying all the limits and constraints imposed on generating units. Economic Load dispatch (ELD) is the one of the optimization problem in power industry. ELD determines the optimal power solution to have minimum generation cost while meeting the load demand. But due to environment issues which are arising from the emissions produced by the fossil fuels in thermal power plant, it has become mandatory for power utility to consider the environment constraints along with the economy. But both of the objectives i.e. minimum fuel cost and minimum emission are of conflicting nature. This problem leads to the formulation of multiobjective economic load dispatch. Or it can also be formulated as combined economic and emission dispatch (CEED) problem. In fossil-fired power plants, main sources of energy are coal, gas, oil and diesel. All of the above mentioned resources realize harmful gases in atmosphere. Coal Produces ash content, SOx, NOx, and CO 2 in the atmosphere. The cooling water used in thermal power plant also rises the water temperature and affecting the marine life also. Nuclear power plants emit harmful radiation in the environment. Because of all above factors, emission control has become an important operational objective. An evolutionary algorithm is an evolutionary computation, a generic population based metaheuristic optimization algorithm. The Conventionally classical optimization technique such as Langarangia