Font Size: a A A

Research On The Distributed Control System Of Large-scale Solar Collector Field─Research On Control Strategies Of The Thermodynamic Control System

Posted on:2016-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:H H SuFull Text:PDF
GTID:2272330464474232Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
For the reasons of increasingly severe environment pollution and decreasing energy reserves, study on the development and application of new energy technology becomes a hot topic in the field of energy technologies. Solar thermal power generation technology attracts more and more attention of researchers and governments for its cleanness, abundant reserves and the uniformity of the distribution. The fundamental difference between the solar thermal power generation technology and the traditional firewood and fossil fuel lies in its zero pollution and environmental friendly exploitation. The exploitation of the solar power generation technology is an effective method of continuous development problem of energy.Many developed countries such as America, Spain and Italy have succeeded in the commercial operation of the solar thermal power plants. It is weak for us in the field of the exploitation of the solar energy and the standardized construction in China. More attention should be paid in the project by the government and relative researchers.This paper makes research on the current mainstream of solar thermal power generation technology. It is mainly about the thermal power generation mode are tower and the butterfly,as well as the representative of the line focusing thermal power generation mode are trough and the Fresnel formula. The article analyzes the advantages and disadvantages of various modes of the solar thermal power generation. It illustrates elements made up of the collected solar thermal power generation, such as the light concentrating and heat collecting system, Thermal energy storage system and a steam turbine power generation system. Then,this paper introduce the composition of the solar trough direct steam generation system and make a analysis of the control loops like circulating pump control loop, the middle steam water separator control loop, the last steam water separator liquid level control loop, the mirror field outlet steam pressure and temperature control loop. The solar thermal power generation system is a complex nonlinear system, with characters of the large inertia, long time lag and time-varying parameters. As the meteorological environmental factors, for the unstable solar radiation result from the variation of the weather, it is more harder to control the temperature and pressure of the solar thermal power generation system.The heat medium temperature is an important control object for its significant role of the whole system, from the concentrating collector mirror field and the process of heat transferring and cooling as well as the the steam generator. What’s more, the confusing relationship of the temperature, pressure and flow make it more complicated of the temperature controlling. Therefor, it is fairly difficult to make system stable with the traditional PID control method. In order to achieve the high quality of controlling, we need some work to seek for the high quality system. This article presents two kinds of controllingstrategies namely Fuzzy Adaptive PID control method and BP Neural Network Aadaptive PID control method. It makes the two of the strategies optimization with the the Hybrid Soft Computing method. All simulated studies of the heat collecting field outlet steam temperature of the solar thermal power generation are based on the software MATLAB/simulink.Simulation results show that the selected test parameters can meet the basic needs of stability in the system. This paper designs and implements the Fuzzy Adaptive PID Control scheme, the simulation results show that the system will reach a steady state, but it rise slowly and take long time to get the expected state. Then, the adoption of the BP Neural Network Adaptive control method in the system make it more quick for this scheme to enter the stable state, but it takes a little long time to meet the finale state. Finally, it makes a conclusion about the content of the paper and some suggestions on problems as well as shortcomings encountered in the course of the work.
Keywords/Search Tags:Solar Thermal Power Generation, Fuzzy, Neural Network, Hybrid Soft Computing, Simulation
PDF Full Text Request
Related items