Rolling Optimal Scheduling Algorithm for Iron and Steel Corporation Power System

Large-scale Iron & Steel Corporation is an electricity intensive corporation. Its high fluctuation type load with random pulse is quite different from the load pattern of a large region, and has great influence to regional power grid it belonged. In this paper, the gateway balance between the corporation and power grid is chosen as new object of power scheduling, and a rolling optimal scheduling algorithm is proposed. Further to deal with random error of real-time load forecast model, a compensated rolling optimal scheduling algorithm is suggested. The algorithms are tested on real data, and prospective results are obtained.