Economic Load Dispatch with Emission and Line Constraints using Biogeography Based Optimization Technique

Abstract

Economic load dispatch is the economic loading of different generating units for variable load conditions of any power system. Emission contributions of conventional thermal power plants plays major role in the overall air pollution. The total emissions need to satisfy the allowable limits of the emission. This paper proposes the load scheduling for combined economic emission and load dispatch (CEELD) problems. In this paper, Biogeography Based optimization (BBO) technique is employed to estimate the fuel cost and emission of all the generating units. The aim of this paper is to minimize the fuel cost and emission of all the units for a given load. Result obtained by BBO are compared with the results obtained by different other optimization techniques such as genetic algorithm (GA), particle swarm optimization (PSO), evolutionary programming (EP) and differential evolution (DE) with respect to total fuel cost, solution time and convergence criteria. The proposed BBO technique is employed on a standard IEEE 30 bus - 6 generator power system to obtain the CEELD solution. The BBO algorithm is carried out in MATLAB environment. The solutions obtained by BBO technique are quite encouraging.