Distributed predictive control method and device for flexible interconnected micro-grid group

By establishing a distributed predictive control model of flexible interconnected microgrids, the problem of failing to fully utilize the safe operation interval of the IEEE standard and ignoring dynamic interactions in the prior art is solved, and the stable control of frequency and voltage and optimized scheduling of power are realized, which reduces operating costs.

CN120566451APending Publication Date: 2025-08-29STATE GRID HUBEI ELECTRIC POWER RES INST
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Patent Information

Application Number
CN202510591550.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-08
Publication Date
2025-08-29

AI Technical Summary

Technical Problem

The existing flexible interconnected microgrid control method fails to fully utilize the flexibility of the safe operation interval defined in the IEEE standard, ignores the dynamic interaction between the DC microgrid, AC microgrid and interconnected converter, resulting in a reduced dynamic response of the control scheme and does not consider the operational limitations of distributed power supplies and interconnected converters.

Method used

Establish a distributed predictive control model for DC microgrid, AC microgrid and interconnected converter, optimize the objective function through secondary planning (QP), considering frequency, voltage and power constraints, realize the dynamic interaction between DC DG and AC DG, and optimize distributed power scheduling.

Benefits of technology

It improves the dynamic response capability of the flexible interconnected microgrid group, keeps the frequency and voltage within the safe range, realizes optimal scheduling of active and reactive power, and reduces operating costs.

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Abstract

The invention provides a distributed predictive control method and device for a flexible interconnection micro-grid group, and the method comprises the steps: building a distributed predictive control model of a DC micro-grid, and taking the incremental cost of a DC distributed power supply and an AC distributed power supply, and the average voltage of the DC micro-grid as target functions; establishing a distributed predictive control model of the AC micro-grid, and taking the incremental cost of the DC distributed power supply and the AC distributed power supply, the schedulable reactive power, the average voltage and the average frequency as objective functions; establishing a distributed predictive control model of the interconnected converter, and taking the lowest total cost as a target function; and simultaneously solving the three established models to obtain a planning result of the micro-grid group. According to the method, interaction among the direct-current micro-grid, the alternating-current micro-grid and the interconnected converter in the micro-grid is realized through modeling, dynamic model constraints of a distributed power supply and the interconnected converter are considered, and the flexibility advantage of a safe operation interval defined in an IEEE standard is fully utilized.
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