Optimal power scheduling of distributed resources in Smart Grid

This paper presents heuristic optimization approaches for solving the power dispatch problem of distributed generators in a smart grid for its economic operation. Along with uncertainties in the renewable energy sources namely solar and wind, random behavior of the next generation plug-in vehicles are also considered for solving the problem of power dispatch. Constraints for power balance, power outputs of conventional and distributed generators, grid-vehicle balance and different non-linear characteristics of the generator such as prohibited operating zones and ramp rate limits are included in the problem formulation. The problem is efficiently solved by differential evolution technique to illustrate the effect of the constraints on the operational cost for different test systems and also compared with other evolutionary algorithms.