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Distributed robust optimization scheduling method for AC/DC hybrid micro grid

A technology for mixing AC and DC and optimizing scheduling, which is applied in data processing applications, instruments, electrical components, etc.

Active Publication Date: 2018-10-09
LIYANG RES INST OF SOUTHEAST UNIV +1
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and provide a distributed robust optimal scheduling method for the AC / DC hybrid microgrid. Uncertainty set, based on the constructed uncertainty set, a distributed robust optimization scheduling model of AC / DC hybrid microgrid is established, and the complex three-level optimization problem is transformed into a two-stage optimization problem through the dual decomposition method, which can be solved quickly and effectively

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  • Distributed robust optimization scheduling method for AC/DC hybrid micro grid
  • Distributed robust optimization scheduling method for AC/DC hybrid micro grid
  • Distributed robust optimization scheduling method for AC/DC hybrid micro grid

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[0064] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0065] Such as figure 1 As shown, in the embodiment of the method of the present invention, the topology of the AC-DC hybrid microgrid is as follows figure 2 shown. The method includes the following steps:

[0066] Step 10) Obtain source load uncertainty prediction parameters, and establish a distributed uncertainty set;

[0067] Step 20) Obtain the operating cost coefficient and operating limit of each device in the AC-DC hybrid microgrid, and establish a distributed robust optimal scheduling model for the AC-DC hybrid microgrid based on the uncertainty set in step 10);

[0068] Step 30) Solving the problem of the distributed robust optimal scheduling model: the dual decomposition method is used to iteratively solve the distributed robust probl...

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Abstract

The invention discloses a distributed robust optimization scheduling method for an AC / DC hybrid micro grid. The method comprises steps that Step 10), a source load uncertainty prediction parameter isobtained, and a distributed uncertainty set is established; Step 20), an operating cost coefficient and operating limit values of each device in the AC / DC hybrid micro grid are obtained, based on theuncertainty set of Step 10), a distributed robust optimization scheduling model of the AC / DC hybrid micro grid is established; and Step 30), a problem of the distributed robust optimization schedulingmodel is solved, the distributed robust problem is iteratively solved through the dual decomposition method, and a robust operation plan of the AC / DC hybrid micro grid is obtained. The method is advantaged in that distribution characteristics of source load uncertainty in the AC / DC hybrid micro grid are considered, the probability distribution function is utilized to describe the source load uncertainty set, conservativeness of traditional robust optimization scheduling is improved, and a reasonable operating and scheduling plan for the AC / DC hybrid micro grid is made.

Description

technical field [0001] The invention relates to the technical field of energy management and optimal dispatching of microgrids, in particular to a distributed robust optimal dispatching method for AC / DC hybrid microgrids. Background technique [0002] As more and more renewable energy is connected to the power system through the microgrid, the penetration rate of renewable energy in the grid has greatly increased. These renewable energy have greatly reduced environmental pollution and improved the economic benefits of power generation. However, renewable energy and Natural conditions are closely related, and its strong uncertainty and uncontrollability have brought great challenges to the safe and economic operation of the power grid. In addition, there will always be certain deviations in load forecasting. Therefore, how to carry out effective monitoring under many uncertain factors Energy management has become a research hotspot at present. [0003] As more and more DC po...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06H02J5/00G06Q50/06
CPCG06Q10/04G06Q10/0631H02J5/00
Inventor 顾伟邱海峰周苏洋吴志窦晓波吴在军
Owner LIYANG RES INST OF SOUTHEAST UNIV
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