A three-phase imbalance optimization method and system

By improving the ant colony algorithm to optimize the selection of load phase sequence nodes, the problems of limited adjustment range and high computational complexity in the three-phase imbalance optimization method are solved, and dynamic balance adjustment and optimization of the three-phase circuit system are realized.

CN117595316BActive Publication Date: 2026-06-26STATE GRID BEIJING ELECTRIC POWER CO +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID BEIJING ELECTRIC POWER CO
Filing Date
2023-11-17
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing three-phase imbalance optimization methods suffer from limitations in adjustment range, high computational complexity, and low method flexibility, making it difficult to effectively solve the three-phase imbalance problem in low-voltage distribution transformer areas.

Method used

An improved ant colony algorithm is adopted. By initializing the ant colony algorithm parameters and the pheromone update model, and combining the probability model and the three-phase imbalance model, the load phase sequence node selection is optimized to form a commutation switch setting strategy and dynamically adjust the three-phase circuit system.

Benefits of technology

It enables real-time dynamic adjustment of the three-phase circuit under load changes, reduces three-phase imbalance, improves optimization effect, and has better adaptability and flexibility.

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Abstract

The present application relates to the technical field of low-voltage power distribution network, and particularly to a three-phase imbalance optimization method, comprising the following steps: inputting initial parameters according to selected existing three-phase circuit system; initializing ant colony algorithm parameters; randomly generating starting load phase sequence node selection of all ants; using roulette selection method to determine the next load phase sequence node selected by ant m; recording load phase sequence node selection results and three-phase imbalance degree after ant m completes all load phase sequence node selection; selecting the optimal result after all ants complete load phase sequence node selection; repeating iteration, and selecting the optimal load phase sequence node selection result according to three-phase imbalance degree; forming phase change switch setting strategy in the three-phase circuit system according to the load phase sequence node selection result; and through optimization of the ant colony algorithm, dynamic adjustment of phase change selection of the entire three-phase circuit under the condition of load change can be realized.
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