Multi-source big data fusion urban power grid planning method

An urban power grid and big data technology, applied in the field of electric power planning, can solve the problems of not being able to predict future demand well, the supply range of substations cannot be accurately determined, and there is no planning plan, so as to save resource waste, facilitate correction, and save costs Effect

Pending Publication Date: 2019-06-07
CHANGCHUN POWER SUPPLY COMPANY OF STATE GRID JILINSHENG ELECTRIC POWER SUPPLY +2
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Problems solved by technology

[0004] The existing technology basically judges the future electricity demand of various plots based on the current situation of the substation facilities. The actual supply range of the substation cannot be accurately determined. The actual power load and planned power supply load of each plot are based on the power load density standard , combined with the land area to give the information of the electricity load, the current situation cannot predict the future demand very well, and there is no effective micro data to guide the generation of the planning scheme

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  • Multi-source big data fusion urban power grid planning method

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Embodiment Construction

[0019] see figure 1 , the urban power grid planning method of multi-source big data fusion proposed by the present invention includes the following steps:

[0020] Step 1. Obtain the annual electricity consumption management data of the power system, and combine the land use planning classification provided by the urban planning and design department to classify the total urban electricity consumption, urban residential electricity consumption, industrial electricity consumption, commercial electricity consumption, administrative electricity consumption, etc. Office electricity consumption, non-residential lighting electricity consumption, and agricultural electricity consumption are combined with urban space buildings, so that different types of urban electricity consumption data are spatialized on buildings, and urban building space electricity consumption data are established predictive model;

[0021] Step 2. Collect the total amount of electricity consumption of differen...

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Abstract

The invention discloses a multi-source big data fusion urban power grid planning method, and belongs to the technical field of power planning. The invention provides a method based on urban electricity users, combined with urban micro-population, building area and other information to calculate the power load of the space block, and gives a method for planning the urban power facilities, which canstart from the micro level and plan the middle level. Further verification, combined with a variety of micro data to assist in the verification of land load forecasting, can be more accurate and accurate for the future expansion and expansion of power facilities planning, and save resources, but also economically save costs. The final result is integrated into the power planning platform, which facilitates the correction of future plans and the tracking of the implementation of the plan, and can scientifically and effectively grasp the implementation of future plans.

Description

technical field [0001] The invention belongs to the technical field of electric power planning, and in particular relates to an urban power grid planning method for multi-source big data fusion. Background technique [0002] The effective connection between power grid planning and urban planning directly affects the quality and efficiency of power grid planning, and it is also a difficult problem that has not been completely solved for many years. [0003] At present, power facilities and line planning are basically based on the actual load of the city's substations and substation lines to judge the actual use of power facilities, and according to the annual maximum load of power facilities and the overload time of power facilities, etc., to determine whether the capacity of power facilities meets the city's power supply requirements safety standards. And, according to the area of ​​different types of planned land in the city and the conforming density of corresponding type...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/04G06N3/08G06Q50/06
CPCY04S10/50
Inventor 王瑶姜超韩咏笑于波李铭闫宇许长胜于树利刘彤起宋崴蔡伟超王凯泽关可汗孟飞彪
Owner CHANGCHUN POWER SUPPLY COMPANY OF STATE GRID JILINSHENG ELECTRIC POWER SUPPLY
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