Big-data-based panoramic power grid multivariate heterogeneous data fusion method

Abstract

The invention provides an effective method for solving panoramic power grid multivariate heterogeneous data fusion based on big data. The big-data-based panoramic power grid multivariate heterogeneousdata fusion method comprises the steps of: defining communication protocols of a conventional wide area measurement system, a fault recorder and a light wide area measurement system, and clarifying formats and types of respective measurement data; performing shunting decoding on data frames monitored by a master station, extracting, storing, cleaning and standardizing the data in a memory, and then managing large-scale heterogeneous data in a multi-machine distributed non-relational database; and finally, performing online analysis and offline knowledge discovery of big data on a bottom layerdata interface. The big-data-based panoramic power grid multivariate heterogeneous data fusion method has the beneficial effects of realizing the effect of comprehensively analyzing three power gridmonitoring systems in a unified manner under a platform frame through large-scale heterogeneous data fusion, realizing panoramic dynamic behavior monitoring of power grid multi-voltage levels, fully utilizing the existing equipment and resources to reduce overlapping investment, and improving the operation and control level of the power grid.

Description

technical field [0001] The invention relates to the field of power system state monitoring, in particular to a multivariate heterogeneous data fusion method for a panoramic power grid based on big data. Background technique [0002] At present, my country is in a critical period of energy revolution and industrial transformation. It has become a national development strategy to greatly increase the proportion of new energy power generation to reduce the proportion of coal, and vigorously develop electric vehicles to reduce the proportion of oil use. Intermittent new energy grid connection increases the number of low-voltage grid power sources, and the dynamic behavior is more complex. According to the UHV power grid construction planning and deployment of the State Grid Corporation, the operation of multiple regional power grids will face a more complex operating environment such as UHV networking, multiple DC feed-in, large-scale access to new energy, and in-depth interacti...

AI Technical Summary

Problems solved by technology

At present, the above three power grid monitoring systems operate independently and do not give full play to their complementary advantages; however, the three systems all have GPS time stamps. If sufficient data integration is carried out, without a significant increase in hardware

Images