A master micro multi-layer flexibility coordination planning method and device

By using a three-layer graph model and graph neural network to screen representative high-risk scenarios, and combining decomposition coordination optimization and resilience contribution factors, the problem of model fragmentation in the planning of main grid, distribution network and microgrid is solved, and efficient multi-layer system resilience collaborative planning is realized.

CN122456482APending Publication Date: 2026-07-24TIANJIN TIANDIAN RUILIAN ENERGY TECH CO LTD +4
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TIANJIN TIANDIAN RUILIAN ENERGY TECH CO LTD
Filing Date
2026-06-25
Publication Date
2026-07-24

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Abstract

This invention relates to the field of resilience planning technology for power supply or distribution systems and energy storage systems, and discloses a multi-layered resilience collaborative planning method and device for main grid, distribution network, and microgrid. The method acquires equipment parameters, operating parameters, and candidate disturbance scenarios for the main grid, distribution network, and microgrid, and constructs a three-layer graph model including the main grid layer, distribution network layer, and microgrid layer. It then uses a graph neural network to screen representative high-risk scenarios; under the screened scenarios, it calculates the power supply bottleneck after a main grid failure, the reconfigurable topology and transfer capacity of the distribution network, and the sustainable power supply time of the microgrid islands; it updates the main grid-distribution boundary exchange power, microgrid access location, tie switch configuration, energy storage capacity, and backup channels through decomposition, coordination, and optimization, and corrects the planning variables based on resilience contribution factors. This invention enables the main grid power supply capacity, distribution network transfer capacity, and microgrid autonomy to be coordinated and matched in the same planning process.
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