Fixed head hydrothermal scheduling incorporating wind energy by Khums optimization algorithm

This paper proposes a new algorithm called Khums Optimization Algorithm (KOA) to solve the fixed head hydrothermal scheduling problem incorporating wind energy (HTSIW) uncertainty. In the hydrothermal scheduling (HT) problem, finding the optimal power allocation of the load among the available thermal unit and hydro units for a period of time aiming to minimize the thermal units total fuel cost. There are many constraints in the HT problem such as real power balance, thermal generation unit power limit constraint and hydro generation unit power limit constraint, water discharge rate, spillage discharge rate, starting storage volume and ending storage volume. In this paper, KOA is used to solve the HTSIW problem for two bench mark systems, then a comparison will be done between the results of both algorithms with other algorithms in literature if possible.