Emission Constrained Economic Load Dispatch using Hybrid Constriction Particle Swarm Optimization

Abstract

Emission constrained economic load dispatch is a complex problem for optimization of thermal generating units at minimum operating cost while satisfying the load demand and other constraints including emission constraints. The problems regarding conservation of energy and green power have gained much importance in 21st century because of acute rise in energy demand and environment concerns with respect to increasing pollution. In concern environmental awareness, electrical utilities are required to reduce their emission level well below predetermined standards. So far the only criterion of economic load dispatch is to dispatch electric power economically but now minimization considering emission as constraint is also important for all generation utilities.In this thesis work hybrid constriction particle swarm optimization has been applied for solving emission constraints economic load dispatch problem. Particle swarm optimization has good exploration capability but less exploitation capability when it is near to global solution. In the proposed hybrid constriction particle swarm optimization, the constriction particle swarm optimization has been hybrid with particle swarm optimization to increase the exploration and exploitation capability of proposed technique. Hybrid constriction particle swarm optimization algorithm applied to two test systems and result has proved the effectiveness.