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Regional power grid dispatching control system and control method

A technology for dispatching control and regional power grids, applied in neural learning methods, information technology support systems, biological neural network models, etc. sexual effect

Pending Publication Date: 2021-10-29
GUANGDONG POWER GRID CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a regional power grid dispatching control system and control method to solve the difficult problem of power grid operation regulation in the prior art

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  • Regional power grid dispatching control system and control method
  • Regional power grid dispatching control system and control method

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Embodiment Construction

[0019] In order to enable those skilled in the art to better understand the technical solution of the application, the regional power grid dispatching control system and control method provided by the application will be further described in detail below with reference to the drawings and specific implementation methods.

[0020] This application proposes a regional power grid dispatching control system, please refer to figure 1 , figure 1 It is a structural schematic diagram of an embodiment of the regional power grid dispatching control system of the application. In this embodiment, the regional power grid dispatch control system 100 may include a generated power forecasting unit 110 , a load forecasting unit 120 and a dispatching unit 130 .

[0021] The generated power prediction unit 110 can be used to predict the generated power of the preset period of the distribution network through the neural network prediction algorithm; the load prediction unit 120 can be used to ex...

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Abstract

The invention discloses a regional power grid dispatching control system and method, and the system comprises a generated power prediction unit which is used for predicting the generated power of a power distribution network in a preset time period through a neural network prediction algorithm; a load prediction unit which is used for extracting historical data of the date of the same type as the prediction date from the historical load data, and calculating a load prediction value of each time period in a preset time period according to the historical data; a scheduling unit which is used for scheduling the user load to enable the difference value between the generated power and the load prediction value in each time period to be within a preset range, wherein the user load is dispatched in a mode of setting power utilization excitation and adjusting the transferable load. Through the above mode, the generation power and the load prediction value in the preset time period can be accurately and rapidly obtained, the accuracy of power dispatching is improved, dispatching is carried out through a mode of adjusting the user load, the power grid load does not need to be consumed through an energy storage mode, the practical value is high, and the interactivity is good.

Description

technical field [0001] This application relates to the technical field of smart grid information management, in particular to a regional power grid dispatching control system and control method. Background technique [0002] With the large-scale multi-point access to the distribution network generated by a variety of energy sources, it will have a non-negligible impact on the operation of the distribution network. The consumption technology that relies solely on energy storage is expensive, has low practical value in large-scale use, and has poor economic benefits. The controllable load and flexible load resources in the distribution network are rich, with good dispatchability and interaction, and can be used as an important means of grid regulation and consumption of new energy. [0003] As the proportion of new loads with dual characteristics of source and load such as electric vehicles and energy storage equipment continues to rise, new forms of energy consumption such a...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06G06N3/08
CPCG06Q10/06313G06Q10/04G06Q50/06G06N3/084Y04S10/50
Inventor 刘嘉宁曾凯文苏卓林斌王可杜斌段秦尉
Owner GUANGDONG POWER GRID CO LTD
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