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Power grid transient stability evaluation method based on adaptive differential evolution algorithm and ELM

A power grid transient stability and transient stability evaluation technology, applied in the field of power grid security, can solve the problems that the characteristics closely related to stability have not been described uniformly, and achieve the effect of enhancing local search capabilities, simplifying dimensions, and improving intelligence

Pending Publication Date: 2021-04-09
SHANDONG UNIV
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  • Application Information

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Problems solved by technology

In order to meet the safe operation requirements of the current complex power grid, the massive data of the dispatch center should be fully mined, and there is no unified description method for the characteristics closely related to the stability of the complex power grid

Method used

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  • Power grid transient stability evaluation method based on adaptive differential evolution algorithm and ELM
  • Power grid transient stability evaluation method based on adaptive differential evolution algorithm and ELM
  • Power grid transient stability evaluation method based on adaptive differential evolution algorithm and ELM

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Effect test

Embodiment 1

[0035] According to the technical idea of ​​"information acquisition and classification—information aggregation and integration—association analysis model construction—rapid identification of power grid stable state", this embodiment uses intelligent technologies such as data mining, key feature extraction, and intelligent classifier construction to learn from different power grid events. Extract information from historical records, obtain the connection between it and the stability of the power grid, obtain a correlation analysis model through abstraction and synthesis, and perform online updates based on real-time data, and finally realize rapid warning of instability, which helps dispatchers quickly take measures To improve the stability of the system, this embodiment provides massive data support for model building and state identification through the wide-area information monitoring system.

[0036] Such as Figure 1-2 As shown, this embodiment provides a power grid trans...

Embodiment 2

[0085] This embodiment provides a power grid transient stability evaluation system based on adaptive differential evolution algorithm and ELM, including:

[0086] The data acquisition module is used to acquire the disturbed dynamic data and post-disturbed steady-state data of the disturbed trajectory of the power grid simulation, so as to construct a sample set;

[0087] The model optimization module is used to optimize the extreme learning machine by adopting the adaptive differential evolution algorithm including the improved mutation strategy and the optimal particle local optimization mechanism;

[0088] The model training module is used to use the sample set to train the optimized extreme learning machine to obtain a transient stability evaluation model;

[0089]The fast stability judgment module is used to quickly judge the stability of the transient change after the power grid disturbance according to the transient stability evaluation model.

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Abstract

The invention discloses a power grid transient stability evaluation method based on an adaptive differential evolution algorithm and ELM, and the method comprises the steps: obtaining disturbed dynamic data and disturbed steady-state data of a power grid simulation disturbed track, and constructing a sample set; optimizing the extreme learning machine by adopting an adaptive differential evolution algorithm comprising an improved mutation strategy and an optimal particle local optimization mechanism; training the optimized extreme learning machine by adopting the sample set to obtain a transient stability evaluation model; and according to the transient stability evaluation model, carrying out the quick stability judgment of transient change after power grid disturbance. By establishing analysis models of different fault disturbance scenes and stability relationships, relationships between historical change trends of different positions and different monitoring quantities and system stability are determined, transient stability hierarchical key features are extracted, and meanwhile, an ELM transient stability evaluation model is optimized based on an adaptive differential evolution algorithm, so the rapid stability judgment of transient change after power grid disturbance is realized.

Description

technical field [0001] The invention relates to the technical field of power grid security, in particular to a power grid transient stability evaluation method based on an adaptive differential evolution algorithm and ELM. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The large-scale and rapid growth of source-grid-load, fluctuating new energy, and the massive access of renewable energy have increasingly impacted the power grid; at the same time, due to the transition and evolution of the grid structure, provincial power grids In particular, when large-scale power grid failures and uncontrollable chain reactions occur, the safety and stability analysis and dispatching operation control of the power system face more severe tests. [0004] The traditional power grid monitoring system (SCADA) is difficult to obtain real-time information af...

Claims

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Application Information

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IPC IPC(8): G06F30/25G06F30/27G06N3/04G06N3/08G06Q50/06
CPCG06F30/25G06F30/27G06N3/08G06Q50/06G06N3/044Y04S10/50
Inventor 石访赵昱臣张恒旭张林林秦龙宇张照青王晓彬
Owner SHANDONG UNIV
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