Day-Ahead Reported Capacity Optimization and Operation Strategy of Electrical Fused Magnesium Group Furnace in Primary Frequency Regulation

Abstract

For obtaining the maximum benefit, the Electrical Fused Magnesium Group Furnace (EFMGF) participate of power system Frequency Regulation Auxiliary Service (FRAS), need to combine their own operating characteristics to develop participation in the service of the operation control strategy, and consider the regulation characteristics and multiple uncertainties to build model for Day-ahead Reported Capacity (DRC) optimization of EFMGF participate in the Primary Frequency Regulation (PFR). Based on analysis of the characteristics of energy use, operating characteristics and adjustment characteristics, the control mechanism for the EFMGF participate in the PFR is proposed and the Frequency Regulation (FR) characteristics of the Electrical Fused Magnesium Furnace (EFMF) is deduced accordingly. With the goal of maximizing the overall profitability of the Electrical Fused Magnesium Enterprise (EFME) and taking into account the quality of products, the limitation of the energy requirement and the demand for FR, the optimized model for FMGF participate in the PFR is established to optimize DRC. Aiming at the multiple uncertainty problems such as the uncertainty of time and power and the randomness of the frequency regulation signals (FRSs) in the conversion of the operating conditions of the EFMF, a two-dimensional scenario matrix is constructed, which can be realized to solve the optimized model containing complex uncertainty factors. Simulation cases verify the effectiveness of the proposed control strategy, and the proposed optimized model can obtain the optimal reported capacity.