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Power system transient stability assessment method based on big data

A transient stability assessment, power system technology, applied in data processing applications, information technology support systems, instruments, etc., can solve problems such as local minimum traps of algorithms, and achieve the effect of comprehensive and reasonable assessment of safety conditions

Inactive Publication Date: 2016-04-20
WUHAN UNIV
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Problems solved by technology

[0006] In order to solve the above technical problems, the present invention proposes a big data-oriented power system transient stability evaluation method, which solves the problems that traditional neural network algorithms are easy to fall into the local minimum trap and meets the real-time requirements of big data

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  • Power system transient stability assessment method based on big data
  • Power system transient stability assessment method based on big data
  • Power system transient stability assessment method based on big data

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Embodiment Construction

[0053] The technical solutions in the examples of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the examples of the present invention. Apparently, the described embodiment is only one embodiment of the present invention, not all embodiments. Based on the embodiments of the invention, all embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0054] Use the historical big data of the power system to conduct centralized learning and training on multi-limit learning units (EXTREMELEARNING MACHINES, ELMs), extract key features that can represent the transient stability of the current power system from massive data; then input the key feature groups into the trained ELMs In the process, the final transient stability evaluation result and the confidence degree of the result are obtained by using the decision-making e...

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Abstract

The invention discloses a power system transient stability assessment method based on big data, and the method comprises two stages: sample training and result evaluation. The sample training stage comprises the steps: carrying out the centralized training and learning of ELMs through employing big data of a power system, and also completing the confirmation of each transient stability characteristic quantity weight parameter. The result evaluation stage comprises the steps: firstly building a transient stability key characteristic library; secondly extracting key characteristics in current real-time data, and transmitting the key characteristics to a trained EMLs; finally carrying out the comprehensive analysis of the output result of the EMLs through a decision evaluation module, and giving a transient stability assessment result and the confidence of the current result. The method takes big data as the background, is based on the reasonable dimension reduction and complete use of mass data of a power grid, is based on a learning machine cluster, and meets the requirements of complete and real-time safety early warning of an intelligent power grid.

Description

technical field [0001] The invention belongs to the technical field of power system transient safety evaluation, and relates to a big data-oriented fast evaluation method of power system transient stability. Background technique [0002] With the continuous progress of power system informatization and the rapid development of wide-area measurement technology (WAMS) based on PMU, the state measurement of smart grid power system is developing in the direction of high sampling rate, large range, rapid continuous recording and mass storage. The current power system data has typical big data characteristics such as large data volume, complex data types, wide range of data release, and fast data collection and transmission speed. The development of smart grid has brought the power system into the era of big data. [0003] The power system is an electric energy production and supply system composed of multi-level networks such as power generation, transmission, distribution, and po...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q10/06375G06Q50/06Y04S10/50
Inventor 樊友平李欣
Owner WUHAN UNIV
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