Quiescent voltage stability margin evaluation method and system based on GBRT

A static voltage stability and margin technology, applied in the field of static voltage stability margin evaluation based on GBRT, to achieve high real-time performance and accurate prediction

Active Publication Date: 2020-01-03
STATE GRID HUBEI ELECTRIC POWER RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the above-mentioned defects of the prior art, the technical problem to be solved by the present invention is how to improve the prediction speed and prediction accuracy of static voltage stability m

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  • Quiescent voltage stability margin evaluation method and system based on GBRT
  • Quiescent voltage stability margin evaluation method and system based on GBRT
  • Quiescent voltage stability margin evaluation method and system based on GBRT

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Embodiment 1

[0058] Such as figure 1 Shown is a functional architecture diagram of the on-line monitoring system of the GBRT-based voltage stability margin evaluation method of a preferred embodiment of the present invention. The on-line monitoring system includes the PMU device 1 of each substation, the phasor data concentrator 2 that summarizes the PMU data of each substation, and evaluates the static voltage stability margin of the current system based on the data of the phasor data concentrator 2 and the evaluation method Degree Control Center3.

[0059] The PMU device 1 of each substation collects the current PMU data of the corresponding node, and transmits the PMU data to the phasor data concentrator 2 for summary; the control center 3 improves the decision tree based on the current grid structure of the power system and the gradient ( Gradient Boosting Regression Tree (GBRT) voltage stability margin evaluation method is used to match the nonlinear relationship trained in advance t...

Embodiment 2

[0114] In order to further optimize the economic cost and index accuracy of PMU layout, the static voltage stability margin evaluation method based on GBRT in this embodiment further quantifies the importance of the input characteristics of each node, and sorts the importance of each node, so as to realize the importance of important nodes. filter. The static voltage stability margin evaluation method based on GBRT consists of a series of decision trees, and the input features will be used as the criteria for dividing the nodes of the decision tree. The closer it is to the root node, the higher the importance of the input features. By averaging the importance of each feature in all decision trees, its ranking can be obtained. The top ten input features with relative importance such as Figure 4 As shown, it is the result of importance normalization, that is, the relative importance of the feature with the highest degree of importance is 100. The importance of each node can b...

Embodiment 3

[0119] figure 1 The structure diagram of a static voltage stability margin evaluation system of a power system according to a preferred embodiment of the present invention is schematically shown. The evaluation system includes a PMU device 1 , a phasor data concentrator 2 and a control center 3 .

[0120] The PMU device 1 of each substation collects the current PMU data of the corresponding node, and transmits the PMU data to the phasor data concentrator 2 for summary; the control center 3 receives the data collected by the phasor data concentrator 2; the control center 3 according to The current grid structure of the power system is matched with the nonlinear relationship trained in advance by the voltage stability margin evaluation method based on GBRT, and the online evaluation of the static voltage stability margin is performed. When the control center 3 monitors that the stability margin is less than the specified threshold, it sends an alarm to the dispatching and opera...

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Abstract

The invention discloses a quiescent voltage stability margin evaluation method and system based on GBRT. The system is characterized by comprising two parts, i.e., an offline part and an online part,wherein an offline training database is established offline so as to cover as many grid structures as possible and to improve the generalization ability of GBRT; a nonlinear relationship between measured values and quiescent voltage stability margins is established based on the GBRT and optimal power flow; online evaluation is to predict the current quiescent voltage stability margin of the powersystem according to the nonlinear relationship established by the offline part and the real-time measurement condition of a current PMU, and to give necessary reminders to dispatchers when stability is insufficient. In addition, a node importance index is calculated, and the PMU is preferentially arranged at the important node, so a prediction index within an error tolerance range is obtained withlower economic cost and better economic performance is obtained. According to the invention, the advantages of mechanism modeling and data mining are combined, so real-time performance is good, and accuracy is high.

Description

technical field [0001] The invention relates to the technical field of static voltage stability margin evaluation of power systems, in particular to a GBRT-based static voltage stability margin evaluation method and system. Background technique [0002] With the development of UHV DC transmission, the problem of "strong direct current and weak AC" in the power grid has become increasingly prominent, mainly manifested as excess reactive power in areas where power sources are concentrated, and insufficient reactive power in areas where loads are concentrated. The voltage stability problem caused by the shortage of reactive power at the receiving end has become the cause of a series of blackouts. For this reason, the State Grid Corporation of China has launched a new generation of large-scale synchronous condenser project, which aims to play a certain role in reactive power support for the AC system in the vicinity of the converter station. How to integrate the condenser with t...

Claims

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Application Information

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IPC IPC(8): H02J3/16G06Q50/06
CPCG06Q50/06H02J3/16Y02E40/30Y02E40/70Y04S10/50
Inventor 肖繁饶渝泽周友斌周鲲鹏王涛曹侃王莹刘海光张宇帆艾芊
Owner STATE GRID HUBEI ELECTRIC POWER RES INST
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