Optimization Design Of Electromagnetic Parameters Of Industrial DC Transformer Based On Genetic Algorithm

The industrial DC transformer is the core equipment in the DC smelting system.It transforms the AC power of the power grid into low voltage,high current,and large voltage regulation range through short-voltage,high-current direct current.The cost of electricity and smelting efficiency,and the cost of production materials have always been a concern of manufacturers.In engineering,the design of electromagnetic parameters of industrial DC transformers is mainly performed by engineers with practical experience using Excel tables and VB programs to complete manual calculations.The results of each calculation cannot be automatically saved.This lack of calculation methods for some intelligent control algorithms makes the calculation results highly random and consumes a lot of time,and cannot guarantee that the design results are the optimal solution.Therefore,it is of great significance to use intelligent control algorithms to complete the electromagnetic parameter optimization design of industrial DC transformers.Based on the transformer electromagnetic design theory,this paper introduces and improves the genetic algorithm to meet the needs of users and operate safely,in order to achieve the dual goals of reducing the manufacturing cost and operating loss of industrial DC transformers.The main contents are as follows:First,the DC smelting system of the ore furnace and its main components are introduced,the working principle and circuit parameter calculation of the three-phase bridge rectifier circuit are analyzed,the basic principle of the industrial DC transformer is explained,and the overall structural layout;Then,analysis the user parameter requirements,calculate the relationship between each winding capacity,voltage,and current,and select the core diameter,number of turns,body structure,winding parameters and winding methods,and calculate the magnetic flux density and current density in the calculation results.,No-load loss,load loss,weight,temperature rise and other parameters are evaluated,and the impact of each parameter on operating loss and manufacturing cost is analyzed,and the initial scheme design of electromagnetic parameters of industrial DC transformers is completed with the help of Excel;Finally,genetic algorithm is introduced to complete the electromagnetic parameter optimization design of industrial DC transformer,and genetic algorithm is improved.Rounding optimization variables or taking integer multiples of special values to reduce calculation errors;using different crossover rates and mutation rates at different stages of evolution to ensure population diversity without premature convergence to local optimal solutions;The multi-objective optimization function uses a linear weighting method to set the weight ?i(i =1,2),which translates into single-objective optimization,simplifying the calculation difficulty,and the weight calculation is based on the operating loss value and manufacturing cost in the electromagnetic parameters calculated by the engineer based on Excel The proportion of the value is determined;in this way,the improved genetic algorithm is used to optimize the design of the electromagnetic parameters of the industrial DC transformer,and in the case of satisfying user needs and safe operation,the minimum operating loss and the minimum manufacturing cost are used as the dual objective function.Optimize and compare the performance parameters of three different methods to verify the expected effect.