电力系统数据采集的噪声对电能质量无损压缩的影响-电气工程专业论文.docxVIP

电力系统数据采集的噪声对电能质量无损压缩的影响-电气工程专业论文.docx

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电力系统数据采集的噪声对电能质量无损压缩的影响-电气工程专业论文

哈尔滨工业大学工学硕士学位论文 哈尔滨工业大学工学硕士学位论文 II II Abstract With many types of unbalanced load increases, the harmonics of the grid problem, single-phase three-phase short circuit current unbalance, voltage fluctuation, nonlinear these problems more serious. On the one hand, if the power quality is very bad, it will accelerate the aging of the insulating equipment, electrical equipment and communications systems reduce normal use efficiency and utilization, so we study consumer power quality green electricity for our build system is very helpful. As Chinas smart grid construction proposed grid monitoring system has been widely distributed research and application. Compared to the previous power systems, smart grid because the computer monitoring system and appears to be more intelligent and efficient in the data acquisition system with the help of a computerized system or power system controller can be obtained accurately simulate the action of time and performance parameters, These data can be stored in the memory in which to prepare for future analysis and full power range of operation. Collecting real-time data acquisition system not only occur related to the behavior of the power system data, and will be collected in order to improve the performance of the necessary design information acquisition system. Study of these power quality has become an important issue in todays digital age, current and voltage signals are applied before being analyzed and have been digitized, the grid voltage current transformer signal after passing into digital samples, the converted Accuracy can make progress every digital samples are significantly improved. With GPS, GPRS, synchronous vector constant application of new technologies to monitor grid monitoring system, so that it becomes efficient and stable, grid monitoring system to ensure the power supply is running in good order, is the healthy operation of modern power system prerequisite for stable and smooth data flow monitoring objectiv

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