Rapid online assessment method for wide area measurement power big data quality

Abstract

The invention discloses a rapid online assessment method for wide area measurement power big data quality, and belongs to the field of power system big data application, and the method comprises the following steps: obtaining the real-time power big data of a wide area measurement system in a given time period; performing fast preprocessing with improved MapReduce parallel K-means clustering algorithm ; carrying out correctness evaluation by adopting a KNN-based fast density peak abnormal value detection algorithm; carrying out integrity, uniqueness, accuracy, consistency and effectiveness evaluation, and designing an evaluation rule Rr (r = 1, 2, 3... n) corresponding to each index according to the evaluation index Ii; determining a weight coefficient Ww of each evaluation index by utilizing an analytic hierarchy process; and counting the data number percentage Ss meeting the evaluation rule Rr (Ii), and calculating a comprehensive evaluation value X of the power big data quality according to the obtained weight coefficient Ww and the detection result Ss. According to the method, the problem of rapid assessment of the quality of the power big data is solved, and the method is basic work of power grid online application based on the WAMS.

Description

technical field [0001] The invention belongs to the application field of electric power system big data, and discloses a fast online evaluation method for wide-area measurement of electric power big data data quality. Background technique [0002] On the basis of traditional data quality assessment technology, consider the characteristics of power big data in the wide-area measurement system, evaluate the quality of power big data, and ensure the acquisition of power grid measurement big data with high reliability and applicable project application goals. application is important. [0003] The power industry is facing the emerging big data environment. The era of big data poses new challenges to the development of the power industry, but it also brings new opportunities for development. In the past ten years, with the rapid development of my country's economy, the scale of the power grid has continued to expand. Under the construction policy of "West-East Power Transmissio...

AI Technical Summary

Problems solved by technology

Faced with the increase of such massive data, most power departments only use traditional data analysis methods and simple traditional statistical methods for data analysis and data quality assessment, which is not applicable; and due to the large amount of wide-area measurement data and the The processing is complicated and the principle of data application is complex. At present, the deep mining and analysis of wide-area measurement big data is not enough, and the practical advanced application is lacking, which restricts the application of wide-area measurement data in the safe operation of the power grid.

The deep knowledge hidden behind the data cannot be effectively understood and used. On the contrary, it has brought about "data disaster" and "data waste".

Images