含有分布式电源的配电网故障检测与识别研究
[Abstract]:With the aggravation of global energy crisis, distributed power supply (Distributed Generator, DG) emerges as the times require. Distributed energy reduces the global energy tension. However, with a large number of distributed power generation incorporated into the distribution network, the radiation topology of the single power supply in the traditional distribution network will be changed, and its operation mode will also be changed. This will cause the process of fault detection and identification of distribution network to become more complex, and the existing fault detection and identification schemes will be affected, some of which are no longer applicable. Therefore, under the background of building intelligent distribution network, it is necessary to study the fault detection and identification technology of distribution network with DG. The specific work is as follows: (1) the influence of DG access on distribution network is analyzed, and the influence of short circuit fault on fault detection and identification is emphatically analyzed. For fault detection, a fast fault detection and recognition method based on wavelet singular entropy theory and fuzzy logic is studied. By using fuzzy logic output, several kinds of fault types frequently occurring in distribution network are accurately judged. It is beneficial to the implementation of relay protection and island detection. (2) after judging the fault type, the fault line selection is carried out for the single-phase grounding fault with high incidence. Firstly, the fault simulation model with DG is built. Secondly, the zero sequence current of each line is transformed into S transform, the data is preprocessed, the fault feature is extracted, the characteristic frequency band is found and the fault line time is determined. The transient energy of each line is calculated in the characteristic frequency band. In view of the limitation of transient energy method in fault line selection in distribution network with DG, an adaptive line selection method based on transient energy ratio is proposed. The experimental results show that the wavelet singular entropy theory and fuzzy logic can quickly detect the faults and classify the faults accurately in the distribution network with DG. The adaptive line selection algorithm based on transient energy ratio can adapt to the distribution network with DG, identify the fault line accurately, have good adaptability and improve the protection margin.
【学位授予单位】:西安理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM711
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