A PRACTICAL RESOURCE SCHEDULING WITH OPF CONSTRAINTS

This paper presents an efficient approach to short term resource sched uling based on the augmented Lagrangian relaxation method. The problem is divided into two stages, the commitment stage and the constrained economic dispatch stage. The proposed mathematical model incorporates optimal power flow (OPF) constraints in the unit commitment stage. By OPF constrains, we refer to the relevant active power constraints that are incorporated in the constrained economic dispatch stage (i.e. tra nsmission capacity constraints, fuel and various regulated emission re quirements). The inclusion of OPF constraints in the commitment stage will improve the feasibility of the constrained economic dispatch solu tion. Other unit commitment constraints such as spinning and operating reserve requirements; power balance as well as other relevant local c onstraints (i.e. unit ramping rates, upper and lower generation limits , minimum up and down times) are taken into account in the proposed mo del. As we deal with a larger number of constraints, a more rigorous m ethod is introduced for updating Lagrange multipliers to improve the s olution convergence. A software package which addresses energy managem ent systems requirements is developed and tested.