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Power grid dynamic track trend prediction method based on long-term and short-term memory network

A long-term and short-term memory, trend prediction technology, applied in the direction of AC network circuits, electrical components, circuit devices, etc., can solve the problems of power grid dynamic trajectory trend prediction methods that have not seen long-term and short-term memory networks, such as literature reports, and avoid large-scale power outages. , the effect of high calculation accuracy and good engineering application value

Active Publication Date: 2019-12-31
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

[0005] So far, there are no literature reports and practical applications on the prediction method of power grid dynamic trajectory trend based on long short-term memory network

Method used

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  • Power grid dynamic track trend prediction method based on long-term and short-term memory network
  • Power grid dynamic track trend prediction method based on long-term and short-term memory network
  • Power grid dynamic track trend prediction method based on long-term and short-term memory network

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Embodiment Construction

[0048] A power grid dynamic trajectory trend prediction method based on a long-term short-term memory network of the present invention can be driven by data to get rid of the constraints of the physical model, while ensuring the timeliness and accuracy of the prediction process. It includes the following content:

[0049] 1) Considering that the trajectory has the two most important attributes that characterize its geometric characteristics, the rotation angle and the length, the trajectory offset distance is defined as:

[0050]

[0051]

[0052] In the formula, d θ representative track Angle offset between; d l representative track The length offset between the two trajectories is θ j -θ i , is the reference vector, the modulus is 1, and the direction is the same as consistent;

[0053] 2) with d l 、d θ Extract the generator characteristics of the complex system, and use the density-based clustering algorithm of DBSCAN (Density-Based Spatial Clustering of ...

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Abstract

The invention discloses a power grid dynamic track trend prediction method based on a long-term and short-term memory network. The method is characterized by firstly, aiming at a geometrical characteristic of a voltage time sequence vector track, extracting a time sequence evolution rule of a node state, and quickly identifying a same tropism of a system generator; secondly, rapidly predicting a disturbed track of an equivalent machine system based on the long-term and short-term memory network; and finally, calculating a generator tripping amount according to an extended equal-area criterion,and realizing emergency control of transient power angle stability. The method has advantages of scientific and reasonable performance, high applicability and the like.

Description

technical field [0001] The invention belongs to the application field of transient stability control of a large power grid, and in particular relates to a method for predicting a dynamic track trend of a power grid based on a long-term and short-term memory network. Background technique [0002] With the continuous expansion of the scope of grid interconnection and the scale of new energy power generation, the characteristics of high penetration rate and high proportion of power electronics of renewable energy have become increasingly prominent, making the grid develop into a high-dimensional time-varying nonlinear power information physics system with multi-source information interaction. system. The existing grid online security defense concept and stability control technology with the core of modeling simulation and expected faults are difficult to adapt to the development requirements of the grid. The complexity of the physical system and multi-source informatization aff...

Claims

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Application Information

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IPC IPC(8): H02J3/00
CPCH02J3/00
Inventor 安军杨少波穆钢俞嘉晨
Owner NORTHEAST DIANLI UNIVERSITY
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