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A data processing method for reactive power optimization of distribution network

A technology for optimizing data and processing methods, applied in the field of distribution network, can solve problems such as difficulty in fully utilizing big data, and achieve the effects of preventing accident expansion, preventing accidents, and ensuring voltage quality

Active Publication Date: 2022-03-18
CHINA ELECTRIC POWER RES INST +2
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AI Technical Summary

Problems solved by technology

[0006] The traditional reactive power optimization method has strict data limitations, and it is difficult to fully utilize the advantages of big data. However, the application of big data technology in the field of distribution network is used for the global optimization of the power grid based on theoretical analysis based on data modeling, which breaks through the previous Random factor assumptions and simplifications

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  • A data processing method for reactive power optimization of distribution network
  • A data processing method for reactive power optimization of distribution network
  • A data processing method for reactive power optimization of distribution network

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Embodiment Construction

[0044] The technical solutions provided by the present invention will be further described below in conjunction with the accompanying drawings.

[0045] DG output and load data in the distribution network reactive optimization have the characteristics of randomness and uncertainty, different from the traditional single value representation, and the large data is more tended to use the interval or probability density function. Provide a more systematic, comprehensive data support. Distributed power supply and load prediction of distribution networks have particularity, and its data is complicated, and it is difficult to directly fit its probability density function. The present invention is intended to process the distribution network DG drainage and load data, converting it to the data format represented by the probability density function, and establishs data support for the distribution network.

[0046] The distribution mesh in which the distribution network provided by the pre...

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Abstract

The invention provides a data processing method for reactive power optimization of a distribution network, which includes determining sampling data for reactive power optimization of a distribution network, initializing parameters of a reactive power optimization hybrid component of a distribution network, and optimizing a reactive power optimization hybrid component of a distribution network Parameters, judging the convergence of the data processing process, if it does not converge, the number of iterations will be increased by 1 to further optimize the parameters of the reactive power optimization hybrid component of the distribution network; after the data processing process converges, calculate the probability density function. The technical solution provided by the invention realizes the rational allocation of reactive power resources, provides more systematic and comprehensive data support for reactive power optimization of distribution networks, and greatly improves the economy, safety and stability of power system operation.

Description

Technical field [0001] The present invention relates to a data processing method in the field of distribution network, and in particular, to a distribution network reactive power optimization data processing method. Background technique [0002] Power system reactive trend distribution does not only directly affect the safety and stability of the power system, but also closely related to economic benefits. The shortage of reactive trends causes the system voltage to reduce voltage crash accidents when it is severe; and there is no effort to malfunction in system voltage quality, hazardous system and equipment, and too many reactive spares will also waste unnecessary investment. Rationally configuring the input and exiting of the reactive power supply can effectively reduce the network loss, ensure voltage quality, prevent accidents, prevent accidents, and improve the economy, safety and stability of power systems operation. [0003] Delivery operation optimization is based on fix...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 何开元盛万兴刘科研孟晓丽贾东梨胡丽娟叶学顺刁赢龙唐建岗董伟杰李雅洁
Owner CHINA ELECTRIC POWER RES INST
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