Optimal Power Scheduling of Hybrid Power System

Abstract

Integration of renewable generation in distribution system provides energy security i.e. continuously satisfied load, substantial cost savings, and reduction in greenhouse gas emis sions. The present work formulates a mathematical model for power scheduling of a hybrid power system connected to a distribution grid, combines solar PV/wind/diesel power resources with battery storage. The formulation of our model is considered by the minimization of total fuel cost and the minimization of Total Transferred Power Transaction Cost of the distribution grid, which has been optimized by using the particle swarm optimization technique. In addition to this, the battery cost is optimized, where the numerical test is performed on the High Renewable Penetration(HRP) 38 test system for 24hr. The obtained results are also compared with the Grey Wolf Optimization technique.