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Comprehensive energy micro-grid optimization scheduling method and system based on cloud-edge collaboration

A technology for integrated energy and optimal scheduling, applied in system integration technology, information technology support systems, resources, etc., can solve the problem that integrated energy micro-grids cannot be effectively scheduled in real time, and achieve high timeliness requirements and real-time optimal scheduling , The effect of fast data transmission speed

Pending Publication Date: 2022-04-15
HEFEI UNIV OF TECH
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  • Application Information

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Problems solved by technology

[0006] Aiming at the deficiencies of the existing technology, the present invention provides an integrated energy micro-grid optimization scheduling method, system, storage medium and electronic equipment based on cloud-edge collaboration, which solves the technical problem that the integrated energy micro-grid cannot be effectively dispatched in real time

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  • Comprehensive energy micro-grid optimization scheduling method and system based on cloud-edge collaboration
  • Comprehensive energy micro-grid optimization scheduling method and system based on cloud-edge collaboration
  • Comprehensive energy micro-grid optimization scheduling method and system based on cloud-edge collaboration

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Embodiment

[0104] First aspect, such as figure 1 As shown, the embodiment of the present invention provides a comprehensive energy micro-grid optimization scheduling method based on cloud-edge collaboration, including:

[0105] S1. Collect and preprocess real-time data on the user side of the integrated energy microgrid;

[0106] S2. Input the corresponding real-time data after preprocessing into the pre-built integrated energy microgrid load forecasting model and wind power output forecasting model respectively, and obtain the day-ahead load forecast value and the day-ahead wind power output forecast value;

[0107] S3. Construct a day-ahead scheduling model of the integrated energy microgrid according to the day-ahead forecast value of the load and the day-ahead forecast value of wind power output, and obtain a day-ahead scheduling scheme of the integrated energy microgrid;

[0108] S4. According to the day-ahead scheduling scheme, construct a real-time scheduling model of the integra...

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Abstract

The invention provides an integrated energy microgrid optimization scheduling method and system based on cloud edge collaboration, a storage medium and electronic equipment, and relates to the technical field of energy scheduling. According to the embodiment of the invention, the method comprises the steps: inputting the corresponding real-time data after preprocessing into a pre-constructed integrated energy microgrid load prediction model and a pre-constructed wind power output prediction model, and obtaining a load day-ahead prediction value and a wind power output day-ahead prediction value; according to the load day-ahead predicted value and the wind power output day-ahead predicted value, a day-ahead scheduling model of the integrated energy microgrid can be constructed through a cloud platform, and a day-ahead scheduling scheme of the integrated energy microgrid is obtained; according to the day-ahead scheduling scheme, a real-time scheduling model of the integrated energy microgrid can be constructed through edge nodes, and a real-time optimization adjustment scheme is obtained. The physical distance between the edge nodes and the integrated energy microgrid is short, the data transmission speed is extremely high, and real-time optimization scheduling with the extremely high timeliness requirement can be achieved.

Description

technical field [0001] The present invention relates to the technical field of energy dispatching, in particular to a method, system, storage medium and electronic equipment for an integrated energy microgrid optimization dispatching method based on cloud-edge collaboration. Background technique [0002] With the development of the Energy Internet, the status of renewable energy has become increasingly prominent, and the integrated energy micro-grid has received more attention due to its energy-saving, environmental protection, and economical efficiency, which makes the traditional single-energy micro-grid highly coupled to multiple energy sources development of integrated energy microgrids. However, there are renewable energy devices with strong volatility in the integrated energy micro-grid, and there are also strong uncertainties in the terminal load prediction. Therefore, the source-load uncertainty needs to be considered in the integrated energy micro-grid scheduling. ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 陆信辉李浩斌温露露周开乐
Owner HEFEI UNIV OF TECH