Method for realizing response curve library in fan asymmetric fault recovery process
A fault recovery and response curve technology, applied in the field of power grid, can solve problems such as single analysis means, limited database size, and high data extraction rate requirements, and achieve the effect of meeting storage requirements and improving capabilities
Pending Publication Date: 2019-09-06
CHINA ELECTRIC POWER RES INST +2
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[0004] The output of distributed power sources such as fans has strong intermittent, periodic and random characteristics. Due to the characteristics of large-scale and centralized development of distributed power in my country, and its fault characteristics are completely different from those of conventional power grid systems, the current large-scale The simulation research work on the fault characteristics and recovery process after the fan power supply is connected to the power system has been carried out. However, the data generated by a large number of simulation work also has a large amount of data, and the data analysis requires a high data extraction rate. In the system analysis software, the database scale is limited, and the analysis method is relatively simple, so it is difficult to deal with the massive data analysis and processing requirements generated by the fan asymmetric fault simulation
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[0033] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, wherein the schematic embodiments and descriptions are only used to explain the present invention, but are not intended to limit the present invention.
[0034] Such as figure 1 As shown, the implementation method of a wind turbine asymmetric fault recovery process response curve database applied in the present invention is described in detail. By performing data preprocessing, data compression, and data query according to the characteristics of the curve database data, the wind turbine asymmetric fault recovery Various types of simulation data results generated during the process are efficiently stored and quickly queried;
[0035] The method comprises the steps of:
[0036] Step S1: data preprocessing; specifically: obtaining sampling points, and preprocessing the sampling data obtained at the sampling points;
[0037] Step S11: Preprocessi...
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The invention relates to a method for realizing response curve library in fan asymmetric fault recovery process. The method comprises the steps that S1, conducting data preprocessing, that is, acquiring a sampling point, and preprocessing sampling data acquired by the sampling point; S2, performing data compression on various types of data, that is, compressing time labels and numerical values; S3, performing data query, that is, supporting point query, range query, aggregation query and / or similar query. The method comprises the steps of data preprocessing, data compression and data index query. According to the method, the simulation curve library is quickly retrieved for mass data, so that the mass storage data of the database can be ensured, the high-speed data retrieval capability ofthe memory database can be greatly improved, and the storage requirement of response simulation curve result data in the asymmetric fault recovery process of the fan can be met.
Description
[0001] 【Technical field】 [0002] The invention belongs to the field of electric power grids, and in particular relates to a method for realizing a response curve library of a fan asymmetry fault restoration process. [0003] 【Background technique】 [0004] The output of distributed power sources such as fans has strong intermittent, periodic and random characteristics. Due to the characteristics of large-scale and centralized development of distributed power in my country, and its fault characteristics are completely different from those of conventional power grid systems, the current large-scale The simulation research work on the fault characteristics and recovery process after the fan power supply is connected to the power system has been carried out. However, the data generated by a large number of simulation work also has a large amount of data, and the data analysis requires a high data extraction rate. In the system analysis software, the database scale is limited, and th...
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IPC IPC(8): G06F16/2455G06F16/215
CPCG06F16/2455G06F16/215
Inventor 黄彦浩李文臣仲悟之郑惠萍刘新元宋述勇王艺璇孙丽香徐树文安宁李芳陈兴雷徐希望丁平赵敏文晶杨小煜蔡靖李木一田鹏飞
Owner CHINA ELECTRIC POWER RES INST