Setting Method of Abnormal Data Judgment Threshold in Steady State Power Quality Early Warning Mechanism
A power quality and abnormal data technology, which is applied in the fields of electrical digital data processing, data processing applications, special data processing applications, etc., can solve the problems of abnormal detection and early warning of power quality index monitoring data, avoid further deterioration and achieve reasonable results. , to avoid random effects
Active Publication Date: 2017-02-15
STATE GRID CORP OF CHINA +3
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[0003] At present, the research on power quality mainly focuses on data acquisition methods or the basic processing of collected data. These researches mainly include power quality monitoring devices and methods, and power quality evaluation. Lack of research on abnormal detection and early warning of power quality index monitoring data at grid-connected points of interference sources
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[0029] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0030] The abnormal data determination threshold setting method in the steady-state power quality early warning mechanism of the present invention, the process is as follows figure 1 shown.
[0031] 1) Establish a steady-state power quality early warning index system. Firstly, aiming at the typical power quality disturbance sources in the power grid, research and analyze their operating characteristics and the characteristics of the steady-state power quality problems caused by them, and extract characteristic indicators that can reflect the operating characteristics of different power quality disturbance sources. Taking wind power as an example, after it is connected to the grid, due to its inherent characteristics, it will cause a series of steady-state power quality problems at the common connection point of wind power, such as voltage flu...
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The invention discloses a setting method for an abnormal data determination threshold in a steady-state power quality early-warning mechanism. The setting method comprises the first step of establishing a steady-state power quality early-warning indicator system, the second step of performing data acquisition, the third step of performing data preprocessing, wherein data processing comprises the steps of denoising and performing missing value processing and standardizing, the fourth step of setting a subjective threshold by using the expert scoring method according to a threshold setting experience interval, the fifth step of setting an objective threshold by combining and considering the Otsu method for cohesiveness based on the clustering analysis method, and the sixth step of determining a final threshold by using the linear combination weighting method. By utilizing the mode that the subjective assignment and the objective assignment are combined, reasonable setting can be performed on the abnormal data determination threshold in the steady-state power quality early-warning mechanism according to the setting method.
Description
technical field [0001] The invention belongs to the technical field of power quality monitoring, and relates to a power quality monitoring method used in power systems and power user transmission and distribution networks. Background technique [0002] Power quality can be simply defined as: the degree to which the voltage and current indicators related to the normal operation (or operation) of power supply, power consumption system and equipment deviate from the specified range. From this we can see the importance of power quality. [0003] At present, the research on power quality mainly focuses on data acquisition methods or the basic processing of collected data. These researches mainly include power quality monitoring devices and methods, and power quality evaluation. The research on abnormal detection and early warning of power quality index monitoring data at grid-connected points of interference sources is lacking. With the advancement of an energy-saving society, ...
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IPC IPC(8): G06F17/30G06Q50/06
Inventor 袁晓冬柏晶晶顾伟李群张帅
Owner STATE GRID CORP OF CHINA