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Optimum Design Of Control Transformer And Its Energy-Saving Operation

Posted on:2018-06-21Degree:MasterType:Thesis
Country:ChinaCandidate:R X HuangFull Text:PDF
GTID:2322330542985880Subject:Power engineering
Abstract/Summary:PDF Full Text Request
Control(?)ansformer is mostly used to provide electric energy for lighting systems and control systems of building elevators and industrial production equipment.It provides protection for the safe operation of industrial production equipment and building elevators.It is an indispensable small-capacity transformer for industrial production and residential life.Comparing with power transformer,the capacity of control transformer is smaller and its loss,fabricating cost and running cost are lower,so in the design of control transformer,engineers often only consider the needs of customers and combined with their own design experience to design control transformer whose loss and production costs can not reach the optimal;in the operation of control transformer,engineers ignore the control transformer intermittent operation and variable load operation characteristics that makes it has a long time in the no-load or light load state to increase the energy consumption.At present,the number of using control transformers is very much,so in order to save resources and improve economic efficiency,the optimal design and energy saving operation of the control transformer must be taken seriously.In this paper,the BM11-type control transformer produced by a factory in Nantong City has carried out a comprehensive and in-depth study on the problems of high loss and long no-load and variable load operation,and has made some theoretical and practical value results.The main contents of this paper are as follows:Firstly,according to the nonlinearity,discrete and high dimension of the electromagnetic parameters of the control transformer,this paper proposes a genetic algorithm to optimize the design of the control transformer.Secondly,this paper improves the selection,crossover and mutation of the basic genetic algorithm for the shortcomings of the basic genetic algorithm,such as slow convergence,easy local convergence and low accuracy.Then,applying the basic genetic algorithm and the improved genetic algorithm to the optimal design of the control transformer separately and comparing and analyzing the optimization results.Thirdly,establishing the simulation model of BM11-type control transformer before and after the optimization design by using Maxwell electromagnetic simulation software,and analyzing the magnetic field and loss of the control transformer before and after the optimization design.Fourthly,according to the characteristics of BM11-type transformer transformer variable load operation,the control transformer is designed to be able adjusting its capacity.When the windings are in series,the capacity is halved,and when the windings are in parallel,the capacity is constant.Then,establishing the model of BM 11-type capacitance control transformer by Maxwell electromagnetic simulation software,and analying the magnetic field and loss of the winding in series and parallel of the model.Fifthly,according to the characteristics of BM 11-type control transformer intermittent and variable load operation and its working environment,the energy saving operation of the control transformer is realized by the method of no-load cut power,capacity adjustment operation and temperature control to reduce the power consumption.
Keywords/Search Tags:Control transformer, Improved genetic algorithm, Optimization design, Energy saving operation
PDF Full Text Request
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