Dynamic economic load dispatch using classical and soft computing techniques

Power system operation involves generation, transmission and distribution which involves optimization procedure for ensuring economy, reliability, security and stability. Dynamic economic load dispatch involves an optimization procedure for minimization of fuel cost. Optimization is done by properly scheduling the generator according to the load demand. This paper proposes a comparative analysis of finding the minimum fuel cost considering valve point effects using classical method such as Lagrange multiplier method followed by an analysis using power world simulator and that with Differential Evolution Algorithm respectively.