Day-ahead optimal dispatch with CHP and wind turbines based on room temperature control

Abstract

Against the backdrop that wind power is always abandoned in heat supply period in winter, this paper proposes a novel day-ahead scheduling method and strategy by optimizing indoor temperature based on original heat storage equipment. The simulation of day-ahead optimal dispatch needs to find out the serious abandoned wind power periods. And then the CHP (Combined Heat and Power) units are supposed to reduce heating power in this period for increasing the power adjustable region of CHP units. By taking full use of adjustable region of the indoor temperature and optimization of heat load distribution, the integration of wind power can be facilitated in advance. Besides, this method can guarantee that the indoor temperature is higher than minimum standard and consume more wind power by scheduling CHP units. The studied case demonstrates the validity of the proposed model.