Low-voltage distribution network data driving service method

A data-driven, business-method technology, applied in the field of electrical engineering science, can solve problems such as poor data resource allocation balance, influence cross-resource collaborative optimization, and data resource allocation imbalance, etc., achieve efficient operation and management, and realize data resource allocation. The effect of balancing and responding to grid emergencies

Active Publication Date: 2021-02-05
JIANGSU FRONTIER ELECTRIC TECH
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Problems solved by technology

However, the traditional distribution network IoT data-driven business has the problems of poor balance of data resource allocation and low planning efficiency, which affects the subsequent collaborative optimization of cross-resou

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  • Low-voltage distribution network data driving service method
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  • Low-voltage distribution network data driving service method

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[0018]In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0019]In the following description, for the purpose of illustration rather than limitation, specific details such as specific internal procedures and technologies are proposed for a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from obstructing the description of the present invention.

[0020]The low-voltage distribution network data-driven business method proposed in this plan includes three parts: event-driven data collection, data preprocessing...

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Abstract

The invention discloses a low-voltage distribution network data driving service method, which belongs to the field of electrical engineering science, and comprises three parts of event-driven data collection, data preprocessing and data driving service realization, and distribution network data mainly comprises parameters such as three-phase voltage and current, a power factor, the active power, the reactive power, the active electric quantity, the reactive electric quantity, the frequency, the harmonic voltage, the harmonic current harmonic analysis arrival time, the power failure time, the power-on time, voltage exceeding upper and lower limits, open-phase time and the like, and data resource allocation balance is realized by processing the data.

Description

technical field [0001] The invention relates to the field of electrical engineering science, in particular to a data-driven service method for a low-voltage distribution network. Background technique [0002] With the continuous development and in-depth application of power Internet of Things technology, the use of power distribution Internet of Things makes the collection and processing of various data of electrical equipment more convenient and unified. However, with the gradual increase of power distribution Internet of Things, users As the number increases, the amount of data collected by the perception layer is increasing. Through data-driven business use, it can always maintain a stable state even in the case of data explosion. At the same time, due to the multi-power supply network management mode adopted by the distribution network at the present stage, more attention is paid to the collaborative optimization allocation of cross-regional resources, and downward coord...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F17/10G16Y10/35
CPCG06Q10/0631G06Q50/06G06F17/10G16Y10/35Y04S10/50Y02E40/70
Inventor 王伏亮李军陆玉军李澄陈颢葛永高王江彬王宁曹佳佳高明亮宁燕
Owner JIANGSU FRONTIER ELECTRIC TECH
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