农村小水电水轮发电机组在线监测与控制系统
[Abstract]:Small hydropower is the most mature and economical renewable energy at present. The research on on-line monitoring system of small hydropower turbine generator set in rural areas can effectively help the unit to improve its operating efficiency through vibration information analysis. It provides reliable auxiliary means for economic production and safe operation of hydropower stations, and has practical guiding significance for the development of small hydropower stations in rural areas. The hydroelectric generating unit of hydropower station is a power conversion device, and its operation state is related to the safe, economical and efficient power supply of the hydropower station. As far as the development and application technology of rural small hydropower turbine generator is concerned, it is necessary for the development of rural small hydropower unit to realize the low cost and high efficiency unit on-line monitoring system and to improve the advance and pertinence of operation and maintenance. This paper discusses the significance and purpose of on-line monitoring and control system, describes in detail the present research situation of small hydropower turbine sets at home and abroad, and lays a theoretical foundation and thinking direction for the design of system hardware and software. Small hydropower has the characteristics of small unit, small capacity, simple debugging and installation, because of its vibration has little influence on the power network, so it can not be paid too much attention in actual production. Little attention has been paid to the vibration problems of small hydropower stations, and the frequent vibration problems caused by the poor design conditions lead to the low production efficiency of small hydropower stations. In the past, the monitoring platform has been quite mature in data acquisition and analysis technology. Basically, the vibration source is determined by spectrum analysis of vibration information. However, in solving the problem, because of the characteristics of each hydropower station, The solutions for each unit are not the same, but there are not many research results on solving the problem of optimal operation of the units, and at present the import and domestic prices of such products are relatively high. Therefore, this paper presents a low-cost on-line monitoring system for small hydropower units. The on-line monitoring system of low cost hydrogenerator sets is analyzed in frequency domain and time domain to find out the vibration trend and law of the unit, and to realize pre-diagnosis by state analysis. It makes the maintenance point accurate judgment and timely maintenance to reduce the economic loss and safety hidden trouble of hydropower station. Based on the software and hardware structure of the system, such as the collection, transmission and database establishment of the unit vibration data, the operation information of the turbine generator set is visualized, and the diagnosis and early warning function of the expert system is adopted. The on-line monitoring of hydroelectric generating units is completed, and the intelligent operation of small hydropower stations in rural areas is realized. Based on the design of the above system, through the practical application of Sancha Hydropower Station in Guangxi as an example, the experimental results show the feasibility of the system, and through the calculation and analysis of the monitoring data, The application system can effectively help the unit to improve its operational efficiency, provide reliable auxiliary means for the safe production and efficiency improvement of hydropower stations, and have certain practical significance for promoting the development of small hydropower stations in rural areas. At the end of the paper, the research results of this paper are summarized and prospected, and the problems that need to be improved in the actual development and the system are discussed, and the development goal and direction in the future are defined.
【学位授予单位】:华北水利水电大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TP277;S24
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