| Electric heating,as a new energy heating system,has been widely used in campus heating in recent years.It has the advantages of environmental protection,energy saving,economy and safety.However,at present,various electric heating loads are only in a state of regulation to meet the heating demand.How to dig deeper Its regulatory potential will be an important research direction.This article analyzes and studies the load control of campus electric heating during the start-up process.First,it introduces common electric heating schemes and their characteristics,and makes adaptive research according to the climatic conditions in the Northeast.It also introduces the soft-start scheme of campus electric heating and the technical problems that need to be solved.According to the heating demand and importance of various rooms in the campus,it is divided into 5 types of load rooms.In order to improve the accuracy of campus electric heating load regulation,gray is cited.Grey Wolf Optimizer(GWO),and adopts different strategies to improve this algorithm.Four improved GWOs are proposed.Based on 23 benchmark test functions,the original algorithm is compared for optimization accuracy,and then other improved GWOs are converged.Performance comparison is used to verify the effectiveness and universality of the improved algorithm,and the GWO with the best improved effect is selected to complete the subject simulation.Secondly,verify the feasibility of improving the application of GWO in electric heating systems.Taking the three-phase unbalance problem as an example,looking for a suitable load connection phase for this problem,and a reasonable description of the switching mode of intelligent commutation.In order to reduce the three-phase unbalance degree,it is necessary to consider the life of the commutation switch.Established a mathematical model with three-phase unbalance and the number of commutations as the optimization objective;through calculation examples,it is proved that the improved GWO will reduce the number of switching phases while also making the three-phase unbalance iteratively smaller,Achieving the ideal commutation effect,and verifying that the improved GWO has certain advantages in the application of electric heating systems.Finally,a new soft-start control strategy is proposed according to the heating demand of the 5 types of load rooms and the importance of the room.This strategy first needs to measure the temperature rise data under stable outdoor conditions,and define the input power as a given value,after interpolating the data,the temperature rise of the electric heating equipment at the minimum time resolution is obtained,and then the fitness function considering the two constraints of graded heating and total energy consumption is established,and the fitness function is modeled.After interpolation The given value of is used as input,the fitness function model is solved iteratively by improving GWO,and the output solution is taken as the optimal given value.Finally,the effect of graded heating is analyzed.Experiments show that this control strategy can find a balance between energy consumption and heating according to the relative importance of the heating effect of key areas,the heating effect of non-key areas and the total energy consumption,which not only effectively reduces the total energy in the temperature rise process at the same time,it also has the characteristics of graded heating,which saves the initial investment and operation cost of the electric heating system,and provides a feasible solution for the research direction of electric heating soft start. |
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