Double-layer coordinated robustness optimized scheduling method of multi-microgrids system

Abstract

The invention discloses a double-layer coordinated robustness optimized scheduling method of multi-microgrids system. The system comprises the following steps that 10) operation cost coefficients andoperation limit parameters of different equipments in the user layer in the multi-microgrids system are obtained, and a user layer robustness optimized scheduling model is constructed; 20) operation cost coefficients and operation limit parameters of different equipments in the power supply layer in the multi-microgrids system are obtained, and a power supply robustness optimized scheduling modelis constructed; and 30) a double-layer robustness optimized scheduling model of the multi-microgrids system is solved by soling robustness optimizing problems of the user layer and the power supply layer in an iterative manner via a column constraint generation algorithm, and a robustness coordinated operation plan of the multi-microgrids system is obtained. Power interaction characteristic and multi-level nondeterminacy of the user layer and the power supply layer in the multi-microgrids system are considered, double-layer coordinated robustness optimized scheduling of the multi-microgrids system can be realized, and guidance and help are provided for making the operation plan of the multi-microgrids system.

Description

technical field [0001] The invention relates to the technical field of economic scheduling and energy management of microgrids, in particular to a two-layer coordination robust optimal scheduling method for a multi-microgrid system. Background technique [0002] Due to the depletion of fossil energy such as coal and petroleum and the huge impact of high pollution on the ecological environment, renewable clean energy represented by wind energy and solar energy has attracted widespread attention. Due to the strong intermittency and volatility of renewable energy output, microgrid has become an effective technology and an important way to access and utilize renewable energy in the power system field. In order to ensure the stable and efficient operation of the microgrid, it is necessary to carry out energy scheduling management on it to formulate a reasonable operation plan. With the gradual increase in the utilization rate of renewable energy, multiple microgrids will be conn...

AI Technical Summary

Problems solved by technology

Due to the different source and load characteristics of each sub-microgrid, the coordinated optimization scheduling of multi-microgrids is more complicated than that of traditional single microgrids

[0003] The influence of renewable energy by natural conditions is random and intermittent, and the load fluctuation is strong, which leads to more uncertainties in the microgrid, which brings great challenges to the optimal scheduling of the microgrid.

At present, there are few applications of robust optimization in multi-microgrid systems, and the existing research only considers the uncertainty of source loads in sub-microgrids, ignoring uncertainties such as switching between grids and off-grids and line disconnections that may occur in microgrids. However, the actual neutron microgrid and the connected upper system belong to different stakeholders, and there is only power interaction information between them, so the optimal scheduling It often needs to be divided into two layers; in addition, the existing multi-microgrid two-layer optimal scheduling model does not consider the interaction between the two layers, ignoring the interaction between the sub-microgrid and the upper system

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