A system and method for power grid multi-dimensional perception and security assessment based on big data

Abstract

The invention discloses power grid multidimensional sensing and a safety assessment system and method on the basis of big data. The system comprises: a power grid big data storage platform, a power grid big data security feature extraction platform, a power grid safe operation knowledge base analysis platform and a result display platform. The system adopts Hadoop file distributed management system and performs quick storage and query to big data collected by EMS; and then, power grid main security features, ancillary features and data features are extracted by the feature extraction platform and dimensionality reduction is performed to the power grid big data; the extracted security features enter the power grid safe operation knowledge base and are compared with relative safe rules in the base to obtain a safety status assessment of the current power grid. Compared with common methods, the provided system and method has following beneficial effects: an assessment system suitable for big data is designed, reasonable dimensionality reduction of power grid big data is realized, and a comprehensive and reasonable assessment for the power grid safety status is realized.

Description

technical field [0001] The invention belongs to the technical field of power system safety assessment, and in particular relates to a big data-based power equipment safety assessment and early warning system and method. Background technique [0002] With the continuous progress of power system informatization, a large number of smart substations put into use, and the rapid development of PMU-based wide-area measurement technology (WAMS), the status measurement of smart grid power systems is moving towards high sampling rate, large range, rapid continuous recording and The direction of mass storage is developing. Due to the wide coverage of the power system, the complex and changeable operating status, and the fast dynamic process, the power system data has typical big data characteristics such as large data volume, complex data types, wide data release range, and fast data collection and transmission speed. The detection scope of the traditional power grid monitoring system...

AI Technical Summary

Problems solved by technology

The traditional method is to use offline power grid security analysis tools to formulate safety rules and restrict the power grid to the safe space specified by the safety rules, which is poorly adaptable to the changing operation mode of the power grid

In the context of smart grid big data, with the continuous expansion of the grid scale and the massive access of large-scale intermittent new energy represented by wind power, the time-varying and complex operation mode of the grid is increasing, and the safe operation of the large grid It is becoming more and more difficult to grasp the characteristics and laws of the grid, which greatly increases the difficulty of formulating grid rules and the risk of power system operation.

[0004] Therefore, with the continuous growth of measurement data generated by the operation of the power grid, the traditional offline calculation method to guide the safe operation of dispatching can no longer meet the comprehensive and real-time security warning requirements of the smart grid.

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