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Power distribution network reactive power optimization method based on big data free entropy theory and scene matching

A technology of scene matching and optimization method, applied in reactive power compensation, reactive power adjustment/elimination/compensation, circuit devices, etc. Realize the effect of reactive power optimization and voltage management

Active Publication Date: 2019-04-05
BEIJING JIAOTONG UNIV
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Problems solved by technology

This method is based on the random matrix theory of big data and the correlation analysis method to obtain the reactive power optimization sequence, but it also does not fully consider the influence of distributed power sources and new random loads, which is inconsistent with actual engineering

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  • Power distribution network reactive power optimization method based on big data free entropy theory and scene matching
  • Power distribution network reactive power optimization method based on big data free entropy theory and scene matching
  • Power distribution network reactive power optimization method based on big data free entropy theory and scene matching

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Embodiment Construction

[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0044] An embodiment of the present invention provides a reactive power optimization method for a distribution network based on big data free entropy theory and scene matching. The method includes the following steps:

[0045] Step (1), combining the distribution network system, constructing a free entropy index sequence;

[0046] Step (2), according to the ...

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Abstract

The invention discloses a power distribution network reactive power optimization method based on a big data free entropy theory and scene matching, and belongs to the field of power distribution network reactive power optimization. The method comprises the following steps: combining a power distribution network system, and constructing a free entropy index sequence; according to a construction method for free entropy indexes, calculating the free entropy indexes at a moment to be optimized and the free entropy indexes at every moment in historical big data; calculating the Pearson correlationcoefficient between the free entropy indexes and system total load in the historical big data; calculating the total deviation degree of each index at the moment to be optimized and each index at a historical moment; finding out the lowest historical moment corresponding to the total deviation degree to realize intelligent scene matching, wherein a reactive power optimizing strategy correspondingto the historical moment is taken as the reactive power optimizing strategy at the moment to be optimized. By using the technology of big data, the limitation of model parameters is extricated, the influence of a distributed power supply and a novel random load for the power distribution network is considered, reactive optimization and voltage management of the power distribution network are realized, and a novel approach is provided for the optimization operation of the power distribution network.

Description

technical field [0001] The invention relates to the field of reactive power optimization of distribution network, in particular to a reactive power optimization method of distribution network based on big data free entropy theory and scene matching. Background technique [0002] The reactive power optimization and voltage management of the distribution network is an important task for the optimal operation of the distribution network. Active network loss and node voltage offset make the distribution network operate in a better state to maintain the normal operation of the power grid. [0003] The traditional reactive power optimization method relies on the model and parameters of the distribution network, and repeatedly calculates the power flow of the distribution network during the optimization process. The calculation workload is large, the decision-making time is long, and the adaptability is poor; The artificial intelligence optimization algorithm represented by the ne...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/16H02J3/18H02J3/46
CPCH02J3/16H02J3/18H02J3/46H02J2203/20Y02E40/30
Inventor 吴俊勇朱孝文石琛安然邵美阳郝亮亮
Owner BEIJING JIAOTONG UNIV
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