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Improved local anomaly factor algorithm-based power grid topology identification method

A technique for local anomaly factors, grid topology, applied in computing, electrical components, circuit devices, etc.

Inactive Publication Date: 2017-09-01
SHANGHAI MUNICIPAL ELECTRIC POWER CO +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] The technical problem to be solved by the present invention is: apply the improved local anomaly factor algorithm to the power grid topology identification process, simplify the modeling process and model complexity, and improve the calculation efficiency of the algorithm

Method used

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  • Improved local anomaly factor algorithm-based power grid topology identification method
  • Improved local anomaly factor algorithm-based power grid topology identification method
  • Improved local anomaly factor algorithm-based power grid topology identification method

Examples

Experimental program
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Effect test

Embodiment 1

[0094]The equipment object and its operation data information described in S1 include: line switch and its current, load and position information, bus tie switch and its current, load and position information, section switch and its current, load and position information; main transformer switch and its side current, load and position information, bus switch and its current, load and position information, line switch and its connected corresponding line current, load and position information, and main transformer switch and its connected The current, load and position information of the corresponding side of the main transformer. The corresponding object of the object model constructed by the present invention is a specific area of ​​the power grid to be identified, switches and switches in a specific time period and their telemetry and telesignaling information, and are selected according to the identification needs when the information is acquired.

[0095] S2, assuming T 0...

Embodiment 2

[0146] S1, because in the topology relationship, the switch and switch are the core of the connection relationship, for this reason, the correctness of the grid topology is confirmed by defining the state transition of each switch and switch. The main objects and attributes involved are shown in Table 1:

[0147] Table 1 Device type and reference attributes

[0148] Equipment type telemetry Telesignalling line switch current, load Location Bus Tie Switch current, load Location Segment switch current, load Location Main transformer switch One side current, load Location Busbar switch current, load Location Line switch The current and load of the connecting line Location main transformer switch Connect the current and load on one side of the main transformer Location

[0149] The present invention first obtains the operating state transition data information of the equipment to be identified as the ...

Embodiment 3

[0216] This embodiment is a power grid topology identification device, including:

[0217] memory for storing multiple instructions;

[0218] A processor for loading the above instructions and executing:

[0219] S1, obtaining the equipment objects and their operating data information in the power grid topology to be identified;

[0220] S2, based on the information obtained in S1, aiming at the equipment state transitions of each equipment object at multiple adjacent moments within a period of time, respectively construct an object model corresponding to each adjacent moment equipment state transition, and an object set; in each object model The data includes the change data of multiple attributes of the equipment to be identified when the equipment state transitions at a single adjacent time;

[0221] S3, using the GDLOF algorithm to reduce the objects in the object collection to exclude objects in dense units and dense regions;

[0222] S4. For each object that is not ex...

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Abstract

The invention provides an improved local anomaly factor algorithm-based topology identification method. The method comprises the steps of firstly, based on the statistical theory, acquiring the operating state change information of a to-be-predicted device object, such as a switch, a disconnecting link or the like; secondly, according to the acquired data, modeling a to-be-identified data object, and respectively establishing an object set for each device object, wherein the object set represents the operating state change condition of the device object within a certain period of time; thirdly, based on the grid reduction theory in the GDLOF algorithm, reducing data objects in the object set to reduce identification objects and improve the efficiency of the algorithm; fourthly, for non-excluded data objects, subjecting each attribute of each object to weighted treatment by adopting a relative entropy in considering different influences of the telemetry and remote signaling information on topology error identification. In this way, the reliability and the execution efficiency of the algorithm are improved, and the identification topology error of a local anomaly factor is finally confirmed. According to the technical scheme of the invention, the density-based anomaly detection algorithm is applied to the topology error identification of the power grid, so that the application field of the anomaly detection algorithm is expanded. Meanwhile, the topology error problem of the power grid and the identification problem of telemetry bad data in the prior art are solved at the same time.

Description

technical field [0001] The invention relates to the technical field of power grid topology error identification, in particular to a power grid topology identification method based on an improved local anomaly factor algorithm. Background technique [0002] The power grid topology diagram is a schematic diagram of the physical layout structure composed of grid nodes and transmission lines connected to them. Power system topology analysis is the analysis of the state of components used in the process of conversion, protection, and control during the flow of electric energy flow, with the purpose of forming a model that is convenient for power grid analysis and calculation. In the process of collecting, transmitting, and converting the good strategy data required for power system analysis, the data information will be damaged or deviated due to equipment or network reasons, resulting in the generation of bad data; when the switch remote signal does not match the actual switch s...

Claims

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Application Information

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IPC IPC(8): H02J3/00G06K9/62
CPCH02J3/00H02J2203/20G06F18/24
Inventor 杨建平肖飞叶康齐敬先闫训超施建华曹越峰
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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