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Modeling method and device for automatically organizing key performance indicators

A technology of key performance indicators and modeling methods, applied in instruments, data processing applications, information technology support systems, etc., can solve problems such as effective priority setting, inability to quickly and accurately realize power grid operation monitoring, etc. Achieving, scalable effects

Inactive Publication Date: 2015-04-29
YUNNAN ELECTRIC POWER DISPATCH CONTROL CENT +1
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] The present invention provides a self-organizing key performance indicator modeling for the existing key performance indicators that cannot be automatically associated and effectively set priorities according to business and decision-making goals, which leads to the inability to quickly, accurately and comprehensively realize power grid operation monitoring and intelligent scheduling. method, by establishing a KPI cube to form a self-organizing KPI model, and segmenting the KPI cube into a self-organizing KPI collection, this method can efficiently self-organize KPIs and associations according to different business and decision-making objectives Control strategy, through the established self-organizing key performance index model, can quickly, accurately and comprehensively grasp the actual operation status of the power grid, and has the advantages of refinement, high efficiency, intelligence and strong scalability

Method used

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  • Modeling method and device for automatically organizing key performance indicators
  • Modeling method and device for automatically organizing key performance indicators
  • Modeling method and device for automatically organizing key performance indicators

Examples

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example 1

[0036] Example 1: KPI index mining and topology analysis are carried out with the harmonic phenomenon in the power system quality index as the source event. Expressed in the matter-element model as:

[0037] B=(O C V)=(harmonic amplitude V)

[0038] The characteristics of amplitude also include three-phase unbalance, voltage sag, voltage interruption, etc. According to divergent mining technology (or divergent mining model) to mine the same characteristic matter element as follows:

[0039] B-|B 1 =(O 1 ,C,V 1 ) = (three-phase unbalance, amplitude, V 1 )

[0040] B-|B 2 =(O 2 ,C,V 2 ) = (voltage drop, amplitude, V 2 )

[0041] B-|B 3 =(O 3 ,C,V 3 ) = (voltage interrupt, amplitude, V 3 )

[0042] "-|" is a divergence character, and according to the divergence mining technology (or divergence mining model), the same object element is mined as follows:

[0043] B-|B 4 =(O,C 4 , V 4 ) = (harmonic, content, V 4 )

[0044] B 1 -|B 11 =(O 1 , C 11 , V 11 )=...

example 2

[0055] Example 2: Correlation mining is carried out with the economic benefit of the power system economic index as the source event. Expressed in the matter-element model as:

[0056] B=(O C 1 V 1 )=(economic benefit transmission profit V 1 )

[0057] According to divergent mining technology (or divergent mining model), mining the same object matter element is:

[0058] B-|B 1 =(O,C 2 , V 2 ) = (economic benefit, marginal profit, V 2 )

[0059] B-|B 2 =(O,C 3 , V 3 )=(economic benefit, sales profit, V 3 )

[0060] B-|B 3 =(O,C 4 , V 4 ) = (economic benefit, total cost, V 4 )

[0061] Mining associated feature sets according to association mining techniques:

[0062] {transmission profit C 1 ~}={C 11 , C 12}={transmission price, transmission quantity}

[0063] {Sales profit C 3 ~}={C 31}={Purchase and sale price}

[0064] {total cost C 4 ~}={C 41 , C 42} = {fixed cost, variable cost}

[0065] According to the correlation mining technology, the corr...

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Abstract

The invention relates to a modeling method and device for automatically organizing key performance indicators. According to the method, based on an object element model and a relation meta model of power grid running KPI data, the expansion analysis technology for data mining is utilized for setting up an indicator pool, then the KPI data in the indicator pool are automatically organized according to the time dimension, the space dimension and the service dimension to set up a three-dimensional coordinate system, on the basis of the three-dimensional coordinate system, the KPI data are automatically organized secondarily according to the process dimension, the object dimension and the target dimension to construct a KPI cube to form a six-dimensional automatic key performance indicator organizing model, and then according to a decision-making objectives of power grid service, the KPI cube is segmented along the process dimension, the object dimension and the target dimension for automatically organizing a key performance indicator set. According to the method, according to different kinds of service and the decision-making objectives, the key performance indicators and correlation control strategies can be organized automatically and efficiently, and by setting up the automatic key performance indicator organizing model, the actual running state of a power grid can be mastered fast, accurately and comprehensively.

Description

technical field [0001] The invention relates to the technical field of grid operation security, in particular to a modeling method and device for self-organizing key performance indicators. Background technique [0002] During the operation of the power grid, a large amount of data will be generated. Finding key information from these data and mastering the operating status of the power system are of great significance for dispatchers to improve the decision-making efficiency of power generation adjustment. The key performance indicator KPI (Key Performance Indicator) shows the operating status of the power grid in a concentrated manner. Through the monitoring of KPI, problems such as potential safety hazards, uneconomical operation, low-quality electric energy, and environmental protection standards during the operation of the power grid can be discovered in a timely manner. The research on the KPI system by domestic and foreign power grid experts mainly focuses on three as...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
CPCG06Q50/06Y04S10/50
Inventor 张茂林蔡华祥蒋亚坤赵莹王珍意宋振涛刘传文程广清张勇
Owner YUNNAN ELECTRIC POWER DISPATCH CONTROL CENT
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