Day-Ahead Scheduling Model Based on Supply-Demand Interaction Mode Considering Production Process of Short-Process Steel Enterprise

Abstract

With the increasing penetration of renewable energy, making full use of the load-side adjustable resources has become an inevitable choice for power grid dispatching to maintain the balance between power supply and demand. In this context, this paper takes the short-process steel enterprise whose adjustable potential is closely related to the production process as the research object, and proposes a day-ahead scheduling model based on supply-demand interaction mode and considering the production process of such enterprise. Firstly, a resource task network (RTN) method is used to model the coupling scheduling problem of materials, equipment and electric power resource involved in the complex production process of the steel enterprise. Then, in order to comprehensively consider the different interest demands of the grid side and the enterprise user, the bi-level programming approach is used to establish a day-ahead scheduling model based on the supply-demand interaction mode. The upper layer and the lower layer respectively transmit day-ahead price and power purchase information to each other to conduct the interactive game. Moreover, to make the model solving process match with the actual interaction process, the bi-level iterative algorithm is used to solve the built model, and a penalty-based modified heterogeneous decomposition ($\rho$HGD) algorithm is chosen in the iterative algorithm to speed up the solution by introducing a dynamic penalty term into the lower objective function. Finally, the simulation results verify the necessity of considering the production process when analyzing the power consumption of the steel enterprise and the effectiveness of the proposed model.