MULTI OBJECTIVE ECONMIC LOAD DISPATCH USING EVOLUTIONARY PROGRAMMING

Abstract

In Multi objective economic load dispatch have to control the emission of pollutants in air as well as to minimize fuel consumption by allocating optimal power generation to each unit (Economic Dispatch) subjected to equality and inequality constraints. Due to non-dominating or non-inferior nature of economy and emission objectives, problem becomes multiobjective in nature. Several strategies have been proposed to reduce the atmospheric pollution. These include installation of post combustion cleaning equipment, switching to low emission fuels, replacement of the aged fuel burners with cleaner ones, and dispatching with emission considerations. In the thesis work, price penalty factor and weighting method is applied to convert mutiobjective problem into single objective problem. The evolutionary programming technique is applied to find the best comprised solution. Results are obtained by two types of evolutionary programming techniques i.e. classical evolutionary programming and fast evolutionary programming and compared to select parents for next generation. The method is employed for the solution of multi objective economic load dispatch.