Solution of Economic Load Dispatch by ParticleSwarm Optimization in Renewable Integrated Environment

Economic allocation of prevalent demand among participating generators is an important aspect for power engineers. It’s a complex optimization problem which involves several constraints to be met at the same time. In this paper the problem of economic load dispatch is investigated for IEEE three generating units. Particle Swarm Optimization technique with time varying acceleration coefficients (PSO-Tvac) is taken as the solution methodology and results are compared with Classical Particle Swarm Optimization (CPSO) and other methods implemented on the same test case. Further, modelling has been done for the inclusion of PV based solar generation and wind generation with conventional thermal generation. The saving in fuel cost/day is also reported for the case undertaken. The entire work has been done in MATLAB environment. The results show that PSO and its variants are effective in solving non- linear convex ELD problem.