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
CN112330090AActive Publication Date: 2021-02-05JIANGSU FRONTIER ELECTRIC TECH

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
JIANGSU FRONTIER ELECTRIC TECH
Publication Date
2021-02-05

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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.
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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...

Claims

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