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Big data-based three-phase unbalance analysis and load adjustment method of distribution transformer

A technology of load adjustment and big data, applied in the direction of multi-phase network asymmetry reduction, multi-phase network elimination/reduction of asymmetry, AC network circuits, etc., can solve problems such as incompetence for computing work, and promote optimal configuration and high efficiency service and quality improvement

Active Publication Date: 2017-03-15
STATE GRID INFO TELECOM GREAT POWER SCI & TECH +2
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Problems solved by technology

In the face of massive power data, traditional computing frameworks are no longer capable of such complicated computing tasks

Method used

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  • Big data-based three-phase unbalance analysis and load adjustment method of distribution transformer
  • Big data-based three-phase unbalance analysis and load adjustment method of distribution transformer
  • Big data-based three-phase unbalance analysis and load adjustment method of distribution transformer

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Embodiment Construction

[0019] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0020] With the increasing diversity of unbalanced loads in the power system, the phenomenon of three-phase unbalance is becoming more and more serious, which has a great impact on the safety of power grid operation and the quality of electric energy. The increasing development of big data makes it possible to adopt related technologies to control the three-phase imbalance of distribution transformers and adjust the load of distribu...

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Abstract

The invention provides a big data-based three-phase unbalance analysis and load adjustment method of a distribution transformer. The method comprises the steps of (100) classifying distribution transformer districts; (200) extracting data from a power system; (300) carrying out correlation analysis on a power fluctuation; (400) positioning the distribution transformer districts with strong correlation between a three-phase unbalance fluctuation and a low-voltage distribution transformer district line loss fluctuation and looking up a low-voltage user with strong power fluctuation correlation; (500) verifying and judging the reason of a three-phase unbalance and carrying out three-phase load adjustment; and (600) evaluating a loss reduction effect, turning to the step (200) if the loss reduction effect is invalid, and completing the steps if the loss reduction effect is valid. The big data-based three-phase unbalance analysis and load adjustment method of the distribution transformer can meet the requirements of enterprise power production, operating management and power service in the aspect of improving the quality, the benefits and the efficiency, and optimal configuration and efficient service of power resources are promoted.

Description

technical field [0001] The invention relates to the field of electric power automation, in particular to a method for three-phase unbalance analysis and load adjustment of distribution transformers based on big data. Background technique [0002] Three-phase unbalance is one of the important indicators to measure power quality. In the power system, there are various unbalanced factors, which can be classified into two categories: accidental and normal. Accidental imbalances are caused by system failures. Normal unbalance is caused by three-phase components, line parameters or load asymmetry. Normal disequilibrium is allowed to exist for a long time or for a considerable period of time. [0003] In the low-voltage power grid, distribution transformers are the central hub, and the average distribution of three-phase loads is an important link to ensure power quality, provide safe and reliable power supply, and reflect management levels. At this stage, the country has taken...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/26
CPCH02J3/26H02J2203/20Y02E40/50
Inventor 许元斌刘道新王宏志董朝武白江红邹保平郭雷张文晋刘昌卿李海鲲陈建军
Owner STATE GRID INFO TELECOM GREAT POWER SCI & TECH
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