Multi-microgrid sequential grid-connection optimization scheduling method, apparatus and system

A technology for optimal dispatching and multi-microgrid, applied in the direction of system integration technology, information technology support system, data processing application, etc. Small impact, reduced cost increase effect

Inactive Publication Date: 2018-09-07
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] Aiming at the deficiencies in the existing technology, solve how to coordinate energy transactions between multi-microgrids and between each microgrid and distribution network in the existing technology, overcome the disturbance of uncertain factors, and improve the operation economy and energy utilization of multi-microgrids To solve the problem of efficiency, the present invention proposes a multi-microgrid orderly grid-connected optimization scheduling method

Method used

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  • Multi-microgrid sequential grid-connection optimization scheduling method, apparatus and system
  • Multi-microgrid sequential grid-connection optimization scheduling method, apparatus and system
  • Multi-microgrid sequential grid-connection optimization scheduling method, apparatus and system

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Embodiment 1

[0055] The purpose of Embodiment 1 is to provide an optimal scheduling method for orderly grid-connection of multiple microgrids.

[0056] In order to achieve the above object, the present invention adopts the following technical scheme:

[0057] Such as figure 1 As shown, a multi-microgrid orderly grid-connected optimization scheduling method, the specific steps include:

[0058] Step (1): Construct constraints and optimization objectives, and establish a multi-microgrid optimization model according to constraints and optimization objectives;

[0059] Step (2): According to the discreteness and continuity of variables, the multi-microgrid optimization model is decomposed into main problems and sub-problems;

[0060] Step (3): Solve the main problem and sub-problems according to the parameters of each microgrid and electricity price information, and obtain the scheduling plan.

[0061] The present embodiment 1 is based on such as figure 2 The shown multi-microgrid structu...

Embodiment 2

[0119] The purpose of Embodiment 2 is to provide a computer-readable storage medium.

[0120] In order to achieve the above object, the present invention adopts the following technical scheme:

[0121] A computer-readable storage medium, in which a plurality of instructions are stored, and the instructions are adapted to be loaded by a processor of a terminal device and perform the following processing:

[0122] Step (1): Construct constraints and optimization objectives, and establish a multi-microgrid optimization model according to constraints and optimization objectives;

[0123] Step (2): According to the discreteness and continuity of variables, the multi-microgrid optimization model is decomposed into main problems and sub-problems;

[0124] Step (3): Solve the main problem and sub-problems according to the parameters of each microgrid and electricity price information, and obtain the scheduling plan.

Embodiment 3

[0126] The purpose of Embodiment 3 is to provide a multi-microgrid orderly grid-connected optimization scheduling device.

[0127] In order to achieve the above object, the present invention adopts the following technical scheme:

[0128] A multi-microgrid orderly grid-connected optimization scheduling device, including a processor and a computer-readable storage medium, the processor is used to implement each instruction; the computer-readable storage medium is used to store multiple instructions, and the instructions are suitable for being executed by the processor Load and perform the following processing:

[0129] Step (1): Construct constraints and optimization objectives, and establish a multi-microgrid optimization model according to constraints and optimization objectives;

[0130] Step (2): According to the discreteness and continuity of variables, the multi-microgrid optimization model is decomposed into main problems and sub-problems;

[0131] Step (3): Solve the ...

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Abstract

The invention discloses a multi-microgrid sequential grid-connection optimization scheduling method, apparatus and system. The method comprises the steps of establishing a constraint condition and anoptimization target, and building a multi-microgrid optimization model according to the constraint condition and the optimization target; according to the discreteness and continuity of variables, decomposing the multi-microgrid optimization model into a main problem and sub-problems; and according to microgrid parameters and electricity price information, solving the main problem and the sub-problems to obtain a scheduling plan. The method is mainly used for a centralized multi-microgrid energy management system, and aims to coordinate multi-microgrid energy trading, overcome disturbance of uncertain factors, improve running economy and energy utilization efficiency, and assist a system operator to make an optimal running decision.

Description

technical field [0001] The invention belongs to the technical field of multi-microgrid operation optimization, and in particular relates to an orderly grid-connected optimization scheduling method, device and system for multi-microgrids. Background technique [0002] In recent years, microgrid technology integrating distributed power generation and energy storage units can effectively improve energy utilization efficiency and reduce environmental pollution. With the large-scale access of new energy and micro-grid technologies, multiple adjacent micro-grids in a certain area are interconnected to form a multi-micro-grid. In multi-microgrids, microgrids can interact with both the grid and adjacent microgrids. The multi-directional flow of energy leads to complex scheduling problems. The single-microgrid scheduling method cannot solve the interaction problem between microgrids and is no longer applicable. [0003] The existing multi-microgrid operation method has the following...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06Q10/06G06Q10/04
CPCG06Q10/04G06Q10/0631G06Q50/06Y02E40/70Y04S10/50
Inventor 李歧强张冰莹
Owner SHANDONG UNIV
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