Gridding-based power distribution network top-down load prediction information method

A load forecasting, top-down technology, applied in the direction of forecasting, image data processing, instruments, etc., can solve the problems of restricting the development of urban distribution network and ignoring the construction of urban distribution network, etc. Prediction information is reasonable and the effect of reducing energy consumption

Active Publication Date: 2020-05-29
SHENZHEN POWER SUPPLY BUREAU +1
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Problems solved by technology

[0002] With the rapid development of the country's economy and the continuous expansion of cities, the country has invested heavily in the construction of power points in recent years, but neglected the construction of urban

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  • Gridding-based power distribution network top-down load prediction information method
  • Gridding-based power distribution network top-down load prediction information method
  • Gridding-based power distribution network top-down load prediction information method

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Embodiment Construction

[0040] In order to deepen the understanding of the present invention, the present invention will be further described below in conjunction with the examples, which are only used to explain the present invention, and do not constitute a limitation to the protection scope of the present invention.

[0041] This embodiment provides a grid-based distribution network top-down load forecasting information method, including the following steps:

[0042] Step 1: Divide L1 and L2 planning grids

[0043] Query and on-the-spot investigation on the city grid website, record the location and number of source substations in the city, the location and number of main pole roads and natural barriers, the number and location of feeder groups, and the location and number of blocks, and divide the city into L1 grid areas and L2 grid area, among them, the L2 grid is powered by 2-3 sets of feeder group standard wiring, which meets the user load, and is composed of 2-3 blocks. The L1 grid meets the ...

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Abstract

The invention discloses a gridding-based power distribution network top-down load prediction information method. The method comprises the following steps: dividing L1 and L2 planning grids, establishing an L2 grid load prediction formula, establishing an L1 grid load prediction formula, establishing a variable measurement economic equation, constructing a scene model, predicting a variable, predicting a predicted value of a future power load, establishing an annual maximum load prediction curve and querying a grid load predicted value. According to the invention, L1 and L2 are used to plan a grid division mode; load prediction is carried out by using L1 and L2 grid regions; each area is predicted separately, the prediction result is clearer, assignment of various variables is introduced ina scene model mode, various factors such as area development data are considered in load prediction, the credibility and accuracy of the prediction result are demonstrated, the load prediction information is more reasonable, and the method has positive significance for future power grid development planning.

Description

technical field [0001] The invention relates to the technical field of electric power industry informatization, in particular to a grid-based top-down load forecasting information method for distribution networks. Background technique [0002] With the rapid development of the national economy and the continuous expansion of cities, the country has invested a lot in the construction of power points in recent years, but neglected the construction of urban distribution networks, making some urban construction ahead of power grid construction, and urban planning takes precedence over distribution network planning. Seriously restrict the development of urban distribution network; [0003] In the power system, load forecasting is the basic work in power grid planning and an important basis for formulating power development planning. Its accuracy directly affects the quality of power grid planning. Load forecasting requires strong scientificity and requires A large amount of scie...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06T17/00
CPCG06Q10/04G06Q50/06G06T17/00
Inventor 尚龙龙程卓邓世聪胡冉慈海张钰姝罗育林
Owner SHENZHEN POWER SUPPLY BUREAU
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