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A power system online dynamic safety assessment method based on an integrated decision tree

A dynamic security and power system technology, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve the difficulties in providing preventive/emergency control measures for on-site operators, real-time power flow analysis and time-domain simulation of accidental accidents, Can not meet the requirements of high reliability of power supply and other problems, to achieve the effect of improving the accuracy and reliability of evaluation, improving the level of safe operation of the power grid, and accurate dynamic safety evaluation decision-making

Pending Publication Date: 2019-05-07
CHINA THREE GORGES UNIV
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AI Technical Summary

Problems solved by technology

[0005] ①Traditional power grid security assessment is mainly based on off-line stability analysis and calculation, and the typical methods selected are different from the actual operating conditions of the power grid, which leads to conservative calculation results in most cases, and cannot provide necessary preventive / emergency control to on-site operators in time ②Due to the combination of several accidents and the computational complexity brought by the large-scale actual power system, it is very difficult to carry out real-time power flow analysis and time-domain simulation for all accidental accidents, and online dynamic safety assessment is still a A challenging task; ③When the degree of deterioration of the accident gradually increases, the operation control personnel need to face the emerging new operation modes, and cannot complete the heavy and complicated analysis and research tasks
[0006] Power system accidents are now frequent and recurring, which has shown that the current safety assessment methods cannot meet the current society's requirements for high reliability of power supply

Method used

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  • A power system online dynamic safety assessment method based on an integrated decision tree
  • A power system online dynamic safety assessment method based on an integrated decision tree
  • A power system online dynamic safety assessment method based on an integrated decision tree

Examples

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Embodiment 1

[0065] Example 1: image 3 The expressed IEEE-39 node system is a test system for the present invention to strictly verify its effectiveness and simulate it. Eight PMU units are installed in the system, according to figure 1As described in step 1, select 111 numerical attributes, including: the voltage magnitude of 8 PMU nodes; the active / reactive power flows and currents on 75 branches; and the voltage phase difference of 28 nodes. To enrich the knowledge base, the node load (active / reactive power) is randomly varied between 90% and 110% of the initial value.

[0066] Using V-cross-validation to determine the optimal tree height J and the optimal number of small decision trees L. Randomly divide the training samples in the initial knowledge base into V subsets. For a given fixed tree height J and the number of decision trees L, use V-1 subsets to train the classification model, and use other subsets for testing. The training process totals Repeat V times, each subset is us...

Embodiment 2

[0068] Embodiment 2: The test power system used in this embodiment is a part of the Western Electricity Coordinating Council (WesternFlectricity Coordinating Council, WECC) system, and it consists of more than 600 nodes (wherein there are 33 nodes equipped with PMU devices), 700 transmission lines lines and 100 generators.

[0069] Figure 5 The expression is based on this system using the integrated decision tree-based online dynamic security assessment method for power systems of the present invention, compared with the single decision tree, the result of misclassification error rate obtained. It can be seen that, for two different simulation sub-cycles, the learning method based on the integrated decision tree has a higher accuracy rate than the single decision tree, achieving the purpose of the present invention.

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Abstract

A power system online dynamic safety assessment method based on an integrated decision tree comprises the following steps: 1) sorting and screening predicted accidents, and establishing an initial knowledge base required by offline training by using a screened dominant accident set; 2) based on the initial knowledge base, constructing a lifting type integrated decision tree and carrying out offline training on the decision tree; Step 3): reasonably creating a new training sample, combining the new training sample with the initial knowledge base, and updating the decision tree by using the newknowledge base; And 4) carrying out online dynamic safety assessment on the power system by utilizing the updated decision tree and a distributed processing technology. The invention aims to provide apower system safety assessment method which can avoid a power failure accident and improve the safety operation level of a power grid.

Description

technical field [0001] The invention relates to the field of dynamic security assessment of power systems, in particular to an online dynamic security assessment method for power systems based on integrated decision trees. Background technique [0002] With the rapid development of my country's power grid in the direction of large power grid, ultra-high voltage, long-distance, and AC-DC parallel transmission, the expansion of the grid scale has brought huge economic benefits, but it has also made stability problems more and more prominent. At the same time, after the power grid is interconnected, the impact of the disturbance will affect a wider range, and it is more likely to cause a major blackout. Studies have shown that many blackouts are caused by transient instability. However, most of the current transient stability emergency control strategies are formulated based on the expected accident set. The lack of effective online stability analysis software is one of the i...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q50/06
Inventor 刘颂凯刘礼煌程江洲史若原佘小莉卢云杨楠李世春
Owner CHINA THREE GORGES UNIV
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