Real-Time Generation Scheduling Model and Its Application Considering Deep Peaking of Thermal Power Units

With the large-scale access to new energy source and the difference between electricity peak and valley of mass consumption province increasing day by day, domestic demand for peak shaving has gradually increased. As the energy structure of china is not reasonable because of the installed capacity of thermal power accounting for a large part of the whole installed capacity and the shortage of peak power the power grid is suffering the difficulties of peak shaving. Faced with the peak shaving pressure of the domestic power grid, this paper deeply excavate the deep peaking capacity of thermal power units, analyze their operating characteristics. Based on the conventional optimization model, it introduces constrains such as the running time of the smooth peak output and the minimum peak peaking time, and improving the unit output range and climbing constraints on the basis of conventional optimization models to establish a real-time power generation plan optimization model considering the deep regulation of thermal power units. This paper carries out a case study base on the actual operation data of Guangdong power grid. The results of the case are in line with expectations and meet the actual operation requirements of the grid.