风力发电并网电压扰动信号的分析与检测
[Abstract]:Energy shortage and environmental pollution have become a serious problem in the world today, and wind power generation, as the fastest-growing clean energy, is more and more important to the power generation industry, but with the increase of the ratio of wind power generation in the power grid, The voltage transient disturbance brought by the wind power grid is also becoming more and more prominent, which not only affects the use of precision instruments, but also can cause great harm to people's daily power consumption, and even cause the power grid to be paralyzed. Therefore, the detection and analysis of the voltage disturbance caused by wind power grid has become an important research part of the research of wind power grid. In this paper, the voltage disturbance signal caused by wind power grid is analyzed, and the method of detecting and identifying the transient voltage disturbance signal is also studied. Firstly, the cause of transient voltage disturbance caused by wind power grid system is analyzed, and the simulation model of wind power grid system is established. The specific type of the voltage disturbance signal is obtained. In view of the noise of the grid voltage regular session, this paper optimizes the iterative jump-out criterion of the matching tracking algorithm, and obtains a good de-noising effect through the simulation. Based on the idea of sparse decomposition, this paper analyzes the specific transient voltage disturbance signal, and constructs a wind power grid voltage disturbance atom library for its characteristics, and reduces the calculation amount at the time of signal decomposition and improves the matching and tracking speed. The rapidity and validity of the method are verified by the simulation of MATLAB/ Simulink. The method not only accurately classifies the disturbance signals, but also realizes the positioning and parameter estimation of the disturbance signals, and the identification method is simple and effective, and the accuracy is high.
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM614
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