Reverse Search Strategy Based Optimization Technique to Economic Dispatch Problems with Multiple Fuels

This research article constitutes an efficient way to extract the minimum fuel cost for the economic dispatch problem considering multiple fuel options along with valve point effects. In general one convex cost function for one generator is assumed. The piecewise quadratic cost function is represented by selecting the convex cost function more than one for a generator. A new approach referred as Power Search Algorithm (PSA) based on reverse search strategy is suggested along with various constraints in ED. The proposed algorithm has been evaluated on a ten unit multi-fuel system for various power demands with different fuel input options. The outcomes acquired from the simulation are of good quality and furthermore it reveals that the proposed algorithm performs superior than the various algorithms discussed.