A Dynamic Power Allocation System and Method for Ice Melters Based on SQP Algorithm

This paper presents a dynamic power allocation system and method for ice melting machine based on the Sequential Quadratic Programming (SQP) algorithm, which is applicable to surface de-icing scenarios of equipment such as power transmission lines, wind turbine blades, and transportation facilities. Aiming at the limitations of traditional power allocation methods in adapting to environmental fluctuations and low efficiency, this invention constructs a dual-cycle ice growth model to characterize the impact of multi-time-scale environmental disturbances on ice growth. Combined with the SQP algorithm, it realizes dynamic optimal power allocation in both single and multiple ice melter scenarios, achieving a balance between effective ice thickness control and minimum system energy consumption. Experimental results show that the proposed method can reduce energy consumption by 20–30% compared with traditional fixed power allocation, with strong dynamic adaptability and robustness.