A power distribution network security space decoupling distribution method suitable for multiple distributed power source clusters

By employing a linearized DistFlow model and a safe space decoupling allocation method based on asymmetric Nash bargaining game theory, the power coupling and safe quota allocation problems of multiple distributed power supply clusters are solved. This enables autonomous scheduling and market-based configuration among clusters, improves the safety and economy of system operation, and protects data privacy.

CN122418631APending Publication Date: 2026-07-17SOUTHEAST UNIV
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Patent Information

Application Number
CN202610562610.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Multiple distributed power clusters suffer from strong physical power coupling, unfair allocation of safety quotas, and low efficiency when running in parallel, making them difficult to adapt to market demands and posing a risk of data privacy leakage.

Method used

We adopt a secure space decoupling allocation method based on the linear DistFlow model and asymmetric Nash bargaining game theory. By constructing a cluster secure decoupling framework and a dynamic allocation optimization model, we can achieve autonomous scheduling and secure quota allocation for each cluster, taking into account fairness and market efficiency, and protecting data privacy.

Benefits of technology

It achieves secure decoupling between clusters, enhances the regulation value and absorption capacity of distributed energy, reduces computational complexity and data transmission pressure, adapts to the needs of the electricity market, and protects data privacy.

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Abstract

The application discloses a power distribution network security space decoupling distribution method suitable for multiple distributed power source clusters, belongs to the technical field of power distribution network safe operation and distributed resource scheduling, and comprises the following steps: firstly, a cluster security decoupling framework is constructed based on linearization security constraints of a power distribution network; power operation independent decoupling among clusters is realized through clusterization constraint reconstruction and quota conservation rules, and linear P-Q security operation envelopes special for each cluster are generated; an asymmetric Nash bargaining game theory is introduced, an economic utility function of the cluster is constructed in combination with P-Q envelope once homogeneity, a safe quota dynamic distribution optimization model is established by taking a bargaining weight and a bottom quota as constraints, and an optimal safe quota distribution scheme of each cluster is solved. The application guarantees global power flow safety of the power distribution network, meets differentiated operation requirements of heterogeneous clusters, and significantly improves distributed resource adjustable capacity and power distribution network operation efficiency.
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