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Distributed and centralized collaborative micro-grid group scheduling method

A micro-grid group and centralized technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve the problem of lack of analysis tools for differential scheduling strategies

Pending Publication Date: 2021-05-07
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] So far, there have been some studies on microgrid group scheduling optimization, but the differential scheduling policy analysis tools for different microgrid characteristics are still missing

Method used

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  • Distributed and centralized collaborative micro-grid group scheduling method
  • Distributed and centralized collaborative micro-grid group scheduling method
  • Distributed and centralized collaborative micro-grid group scheduling method

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Embodiment Construction

[0083] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0084] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0085] It should also be understood that the terminology used ...

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Abstract

The invention discloses a distributed and centralized collaborative micro-grid group scheduling method. The method comprises the following steps: acquiring day-ahead prediction data of photovoltaic and load in each unit of a park micro-grid group; constructing a park micro-grid group plan scheduling model, and performing solving to obtain a plan scheduling result of the micro-grid group; calculating the difference between the real-time operation state data of each device and each load of the microgrid group in the park and the planned scheduling result of the microgrid group to obtain the overall real-time net electric power deviation of the park; calculating real-time net electric power deviation shared by each unit of the park, constructing a real-time optimization scheduling model of each unit, and solving the real-time optimization scheduling model of each unit to obtain a real-time power reference value of each unit microgrid of the park; and issuing the solved real-time power reference value to each micro-grid unit to complete single-time optimal scheduling of the micro-grid group, and repeatedly executing the steps in a running day to complete daily running scheduling of the micro-grid group. According to the method, the difference benefit maximization of the whole micro-grid group is achieved, and the economic requirements of global development of the current power grid are met.

Description

technical field [0001] The invention belongs to the technical field of smart grids, and in particular relates to a distributed and centralized micro-grid group scheduling method. Background technique [0002] Under the background of smart grid, the park microgrid group has become an important development trend of microgrid and an effective form of energy comprehensive utilization, including multiple types of energy supply and consumption units, such as single microgrid, intelligent users with distributed power, traditional users , electric vehicle charging piles, etc. These units may have different self-management capabilities, information security requirements, or self-management willingness, so it is necessary to adopt differentiated scheduling strategies for diverse user management. For example: single micro-grid, smart buildings, etc., have independent energy management systems, which can be independently dispatched and managed. This type of unit can adopt a distributed...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 王建学张子龙齐捷杨帆雍维桢魏景东王建臣
Owner XI AN JIAOTONG UNIV
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