Comprehensive pre-warning method based on three-level multi-dimensional KPI system

Abstract

The invention discloses a comprehensive pre-warning method based on a three-level multi-dimensional KPI system. The method includes: building the three-level multi-dimensional KPI system and a KPI algorithm and performing KPI pre-warning. The method has the advantages that the KPI system which can represents power grid operation states is built according the 'safety, economy, high quality and environmental protection' requirements of power system operation, the piecewise linear average normalization algorithm of KPI states is provided, the problem that data of different magnitude orders cannot be compared is solved, the comparison problem (for finding out which one is more serious) of multiple KPIs under the same state (such as pre-warning) is solved at the same time, and quantization of power grid operation state is achieved.

Description

technical field [0001] The invention relates to the technical field of power grid operation, in particular to a comprehensive early warning method based on a three-level multidimensional KPI system. Background technique [0002] With the continuous development of the scale of the power grid, there are more and more application systems, the workload of power grid operation and management has doubled, and the objects that dispatchers need to monitor daily are also increasing. However, human energy is always limited, and it is impossible to cover everything , and error-prone. In addition, due to the independent construction of each business system, but the early warning when the system is abnormal, there is a lack of systematization, and the early warning mechanism is relatively chaotic. The KPI system only focuses on key indicators, realizes centralized monitoring of various business systems, timely discovers potential safety hazards in power grid operation, and guides operat...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of the scale of the power grid, there are more and more application systems, the workload of power grid operation and management has doubled, and the objects that dispatchers need to monitor daily are also increasing. However, human energy is always limited, and it is impossible to cover everything , and error-prone

In addition, due to the independent construction of each business system, but the early warning when the system is abnormal, there is a lack of systematization, and the early warning mechanism is relatively chaotic. The KPI system only focuses on key indicators, realizes centralized monitoring of various business systems, timely discovers potential safety hazards in power grid operation, and guides operators to prevent or eliminate hidden dangers

[0003] Before there was a data center, due to the lack of a data sharing mechanism among various application systems, many information islands were created, and there were disadvantages such as repeated maintenance and inconsistent data, which could not meet the needs of various application systems, let alone realize centralized monitoring of various business systems and early warning

With the data center, although the data sources are complex and diverse, the standardized data interface, centralized management, and unified release make it possible to realize centralized monitoring and comprehensive early warning of various business systems

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