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Power grid state estimation multi-algorithm fusion system

A technology for power grid state estimation and state estimation, which is applied in computing, electrical digital data processing, special data processing applications, etc. Effect

Inactive Publication Date: 2014-03-05
芜湖大学科技园发展有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although there are many algorithms for state estimation, and the optimization of the algorithms is becoming more and more perfect, each algorithm will have shortcomings, and each algorithm also has its own adaptation conditions
Therefore, it is still difficult to satisfy the big data processing of complex power grids only by a certain algorithm for state estimation.

Method used

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  • Power grid state estimation multi-algorithm fusion system

Examples

Experimental program
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Effect test

Embodiment 1

[0060] Embodiment 1, manually configure metadata to perform state estimation and output the result.

[0061] To realize state estimation in Web mode, first start the state estimation function module from Felix, and create new grid metadata on the data platform through "New Input → Get An Instance → Start Update". In this program, the test file is .\_data\ edata\db_data.txt, the configuration file is EReaderCfg 4DB.Properties, you may wish to name the grid metadata as ieee, and then create the measurement metadata, the test file in this program is .\_data\edata\db_meas.txt, the configuration file For EReaderCfg4DB.Properties, you may wish to name the grid metadata as meas, and then log in to the state estimation page (this time using a local computer for testing, so the URL is: 127.0.0.1:8080 / ztgj / index.html), enter the user and password to enter State estimation pages such as figure 2 As shown; create a new state estimation result metadata named result, and then select the g...

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Abstract

The invention discloses a power grid state estimation multi-algorithm fusion system which comprises a weighted least square method, a rapid decomposition method, an orthogonal transformation method and a measuring state transformation method. The power grid state estimation multi- algorithm fusion system is designed on the basis of a data fusion thought, all the algorithms are fused with one another to realize power grid state estimation, and therefore an estimated result not only reserves advantages of all the algorithms but also overcomes the defect of a single algorithm. The power grid state estimation multi-algorithm fusion system supports two algorithm fusion modes, wherein one mode is a serial mode, that is all the estimation algorithms are executed successively according to a certain order, the output of the former algorithm serves as the input of the next algorithm, and a certain state estimation result is obtained finally after all the algorithms are executed; the other mode is a parallel mode, that is all the estimation algorithms are executed respectively and separately to obtain a state estimation result of each estimation algorithm, and then the results are subjected to weighted array to obtain a final state estimation result.

Description

technical field [0001] The invention relates to the field of power system data algorithms, in particular to a multi-algorithm fusion system for power grid state estimation. Background technique [0002] With the rapid development of the power system, the network structure and operation mode of the power system are becoming more and more complex, which requires the modern dispatching system to accurately, quickly and comprehensively grasp the actual operation mode and operation status of the power system. Various advanced applications of energy management systems (EMS) in modern power systems, such as voltage stability analysis, transient stability analysis and safety-constrained scheduling, all rely on real-time reliable data provided by state estimation. Therefore, state estimation has become an important part of EMS, especially in the electricity market environment. [0003] Although there are many algorithms for state estimation, and the optimization of the algorithms is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 陈颖黄少伟汪石农葛愿余诺
Owner 芜湖大学科技园发展有限公司
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