The Study On Transformer-electrical Multiple Units Energy-saving And Control Technique Of "DaQing South Second" Water

China was a shortage of energy. Urban water supply extraction has gotten a lower efficiency for a long time, for short of studies on the saving of the deep well extraction. The learning of the underground water extraction saving is necessary to be focused on. This essay, takes the DaQing South Second underground water extraction system of the study, analyzing the energy expending and giving a plan which can be rational applied to. The choices of distribution transformers and machine units have done a study of the optimization.The essay discussed the efficient techniques which applied to in the process of lift pumping. Pumping through the on-site analysis of the data, the water pumping motors often the case in light-load operation, pumps deviate from the efficient operation range. The load rate and power factor can be improved by means of adjusting the voltage of the machine entrance. Therefore proposed to pump motor power factor to control the amount of fuzzy voltage speed control algorithm, designed a two-dimensional fuzzy controller. The motor’s power factor and the rate of change, from the corresponding membership functions of fuzzy division of fuzzy control rules are given, after fuzzy reasoning, by the microcontroller to the SCR trigger pulse, the output voltage is possible to achieve speed regulation unit to achieve energy-saving purposes.On the basis of theoretical analysis, the essay analyzes the devise of the voltage regulator device hardware circuit and the software overall process. Hardware design includes the choice of microcontroller and switching elements, as well as some functional circuit design. Software design is given in the flow chart of each functional module. The same time, Raised the TOC by law to select transformers, the method can be cost-effective comprehensive assessment of transformer.The paper, the water pump, used a modified GA for global optimization done to establish the optimal mathematical model, the chromosome coding using real-coded in the form of the flow of each unit together constitute a string of chromosomes, each chromosome corresponds to optimization model of a solution. Finally I Have done a fitness simulation and gives the optimal results of the calculation.