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Load curve alternating injection-based intelligent power distribution network scheduling system and method

A technology of load curve and scheduling method, applied in the direction of AC network circuits, electrical components, circuit devices, etc., can solve problems such as power waste, reduce power supply efficiency, and unfavorable economic operation of power grids, and achieve improved economy, improved utilization, and strategies. flexible effects

Active Publication Date: 2015-06-03
HOHAI UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Such a scheduling strategy does not adapt to load changes, resulting in a waste of electric energy, reducing power supply efficiency, and will be detrimental to the economic operation of the power grid.

Method used

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  • Load curve alternating injection-based intelligent power distribution network scheduling system and method
  • Load curve alternating injection-based intelligent power distribution network scheduling system and method
  • Load curve alternating injection-based intelligent power distribution network scheduling system and method

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Embodiment Construction

[0022] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0023] Such as figure 1 As shown, the distribution automation system first collects distribution transformer load data and bus voltage data, and sends them to the load curve generator, and then the load curve generator predicts the load of each day in the next month according to the existing linear regression load forecasting method data.

[0024] A month consists of four weeks, and the seven days of a week are divided into workday time period and holiday time period, w...

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Abstract

The invention discloses a load curve alternating injection-based intelligent power distribution network scheduling system and a load curve alternating injection-based intelligent power distribution network scheduling method. According to the method, when an operation mode is generated, an adaptive power supply scheme is adopted for loads of different time intervals in consideration of difference of a workday load curve and a rest-day load curve, the reliability of power supply and the adaptability to load are improved, the network loss is reduced as much as possible, and the economy of power supply is improved. The generation of the operation mode is more flexible compared with the original strategy, and the utilization rate of power distribution equipment is practically improved.

Description

technical field [0001] The invention relates to an intelligent distribution network scheduling system and method based on a load curve alternate injection, belonging to the field of intelligent grids. Background technique [0002] The distribution network is an intermediate link between power users and the transmission network. The safe and economical operation of the distribution network directly affects the safety, reliability and economy of the entire power system. With the rapid growth of power demand and the improvement of power supply requirements, the scale of distribution network is getting larger and larger, and the wiring is becoming more and more complicated. To realize the optimal dispatch of distribution network and make reasonable adjustments to the operation mode will become a part of the dispatcher's job. item of daily work. [0003] At present, two load levels are mainly considered in the preparation of the normal operation mode plan of the distribution net...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
Inventor 余昆陈星莺朱红陈楷王春宁韦磊嵇文路罗兴廖迎晨樊天荣
Owner HOHAI UNIV