A method and system for optimizing decision of power distribution transfer path

By improving the ant colony algorithm and combining the physical impedance of the line with the fluctuation penalty factor, the power transfer path of the distribution network is optimized, which solves the overload risk caused by the volatility of new energy sources and realizes highly reliable power transfer path decision-making.

CN121566465BActive Publication Date: 2026-06-09HUBEI KENENG POWER ELECTRONICS
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
HUBEI KENENG POWER ELECTRONICS
Filing Date
2026-01-23
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Traditional ant colony algorithms cannot effectively quantify and avoid the dynamic overload risk caused by the volatility of new energy sources in power transfer path decision-making in distribution networks, resulting in a lack of robustness in power transfer decisions.

Method used

An improved ant colony algorithm is adopted, which optimizes path selection by introducing a dynamic heuristic factor and a pheromone update mechanism, combined with the physical impedance of the line and the fluctuation penalty factor, avoiding paths with high load rate and high volatility, thereby improving robustness and security.

Benefits of technology

It significantly improves the robustness and security of power transfer decisions in the distribution network, effectively avoids secondary faults caused by power flow fluctuations, and enhances the reliability and timeliness of decisions.

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Abstract

The application relates to the technical field of power distribution network automation, in particular to a power distribution network transfer path optimization decision method and system; the method comprises the following steps: finding an optimal transfer path connected to a healthy power supply for a to-be-transferred load in a power distribution network based on an improved ant colony algorithm; the improved ant colony algorithm comprises a dynamic heuristic factor for guiding ants; for the dynamic heuristic factor of any line, the dynamic heuristic factor is inversely proportional to the physical impedance and the fluctuation penalty factor of the line. The application can improve the stability of the load after the load in an affected area is transferred, and reduces the occurrence of secondary faults.
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