Abstract
This study aims at integration of an operational planning and model predictive control as a problem of one of the operational management of an energy supply system. As this method, at upper level the controlled targeted values are decided by optimal operational planning and at the lower level model predictive control is adopted to model with their desired values determined at the upper level are combined with each other hierarchically. In this regard, the method to decide a control parameter value use of optimization methods in model predictive control which is typically decided for trial and error is examined. By way of example, this approach is applied to the operational planning and control of a heat supply system for air conditioning and their effectiveness is demonstrated.
