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Optimization Study on Combustion Control System of Thermal Power Station Based on Data Mining Integrated Model

Author: LiBiCheng
Tutor: ShengSaiBin
School: Wuhan University
Course: Control Theory and Control Engineering
Keywords: Data Mining Combustion control Association rules System optimization Power Group
CLC: TM621
Type: Master's thesis
Year: 2005
Downloads: 166
Quote: 2
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Abstract


With the development of society, control the combination of the emerging discipline of science, information science and artificial intelligence and cognitive science dealing with complex systems and some of the major issues of the socio-economic a valuable scientific theories and methods. How to take advantage of emerging theories and techniques to enhance China's industrialization and modernization process each of the objectives and research focus of the science and technology workers. China's coal-dominated energy consumption structure, adhere to the implementation of the Strategic Approach to optimize the energy-saving, improve energy efficiency is the primary focus of our long-term energy measures. Currently, generator sets, power plant control system and information management system has been popular. How to find and take full advantage of the knowledge hidden in these systems, optimizing process control and run operations of the unit, which is the main research content of this paper. The first part is the object of thermal processes for knowledge discovery using data mining techniques. Power plant combustion control system optimized application research background, describes the general process of data mining applications. This paper presents some valuable data preprocessing methods, laid the foundation for the final data mining results. Finally, DM machine algorithm process parameters of the combustion system and related analysis, and mining the results of the analysis and judgment of the physical processes to verify the correctness of the results. The second part of the study work is mainly focused on the process of how to use the excavated knowledge and information, to optimize the thermal object control. The first proposed rule-based humanoid intelligent control is used to optimize the combustion system control. Knowledge and information between the small delay parameters intelligently rapidly inhibit the side of the unit fuel system disturbance. This control optimization idea is a useful compensation based on traditional delay parameter (main steam pressure) feedback control. By simulation studies to verify the feasibility and effectiveness of this method of thinking. The last part of the work is to further tap the potential value of DM techniques to introduce a comprehensive application of the Power Generation Group. Power Generation Group business integration model based on data mining for the first time. The model proposed earlier in this article the continuation and deepening of the research work, the specific implementation environment and methods. In the Power Generation Group, DM apply a theme from the underlying device group and the operation of the unit, to the top of the energy business operations and decision-making, to use and optimize the knowledge and information, in order to maintain our company core competitiveness of the commercial market.

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations
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