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Method for predicting transient stability of power system based on LSTM double-structure model

A technology of power system and prediction method, applied in the direction of electrical components, circuit devices, AC network circuits, etc.

Active Publication Date: 2020-02-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide a power system transient stability prediction method based on the LSTM dual structure model, which not only realizes the fault line location of the power system, but also realizes the The transient stability prediction of the power system, thus realizing the safe and stable operation of the power system

Method used

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  • Method for predicting transient stability of power system based on LSTM double-structure model
  • Method for predicting transient stability of power system based on LSTM double-structure model
  • Method for predicting transient stability of power system based on LSTM double-structure model

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Embodiment

[0065] figure 1 It is a flow chart of the power system transient stability prediction method based on the LSTM dual structure model of the present invention.

[0066] In this example, if figure 1 As shown, a kind of power system transient stability prediction method based on LSTM dual structure model of the present invention comprises the following steps:

[0067] S1. Use the open source framework Keras to build an LSTM dual-structure model

[0068] Based on the long-short-term memory network LSTM, a variant of the recurrent neural network RNN, and based on the fault characteristics of power system transient faults, a bidirectional long-short-term memory network Bi-Lstm is designed as an LSTM dual-structure model. Among them, the LSTM in Bi-Lstm The number of units is set to n;

[0069] In this embodiment, the bidirectional long-short-term memory network Bi-Lstm is developed from bidirectional RNN (Bi-RNN), solving the problem that RNN can only obtain the previous informati...

example

[0128] Use the power system simulation software to simulate the IEEE39 node system, such as Figure 4 As shown, the IEEE-39 node system includes a total of 10 generators and 39 nodes; under the standard load level, set faults at 20%, 40%, 60%, and 80% of the 34 lines, and the fault types include single-phase Short circuit, two phase short circuit, two phase short circuit to ground, three phase short circuit, three phase short circuit to ground, single phase open circuit. The fault removal time is 0.1s and 0.8s after the fault occurs. Therefore, the number of samples is 34 (number of faulty lines) × 4 (number of positions of each line) × 6 (type of fault) × 2 (time of fault removal) = 1632, a total of 1632 groups of samples were collected, and the data sampling period T = 0.01s. The collected data bus voltage, current, etc., judge the transient stability of the system based on whether the relative power angle difference between any two generators is greater than 360 degrees. ...

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Abstract

The invention discloses a method for predicting the transient stability of a power system based on an LSTM double-structure model, which comprises the steps of firstly, establishing an LSTM double-structure model by utilizing an open-source framework Keras; training the LSTM double-structure model in an iterative loop mode to obtain a trained LSTM double-structure model; and finally, processing avoltage and a current to be detected into an input matrix, inputting the input matrix into the trained LSTM double-structure model, obtaining fault line position information, and judging the transientstability of the power system after a fault occurs according to the fault line position information.

Description

technical field [0001] The invention belongs to the technical field of power system transient stability prediction, and more specifically, relates to a power system transient stability prediction method based on an LSTM dual-structure model. Background technique [0002] In recent years, due to the interconnection of power grids, the grid-connected operation of large-scale intermittent energy sources, and the commissioning of flexible AC transmission systems, the structure and coordinated control of power systems have become increasingly complex. When such a large-scale power system is in operation, its physical change process is very complicated. Under this background, the problem of safe and stable operation of the power system is becoming more and more prominent. While the power system brings scientific and technological progress and wealth to people, it is also accompanied by disasters and accidents, which pose a threat to human life and property. When the power system ...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02H7/26
CPCH02J3/00H02H7/262Y02E60/00
Inventor 刘群英章凡霍欣莉衡一佳李博文司永达陈树恒张昌华
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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