Abstract:The current management of three-phase imbalance of distribution transformers mainly relies on distribution operation and inspection personnel to determine the phase sequence switching of load according to their own experience, which is a large workload and low precision of phase sequence adjustment, and cannot meet the increasingly expanding scale of power grid. There is an urgent need for a research solution that can accurately judge the phase of station users and timely adjust the station users with heavier phase sequence to another phase sequence with lighter load for power supply, so that the three-phase load can be balanced. To this end, a solution is proposed to manage the three-phase imbalance of distribution transformers by intelligently identifying the phase sequence of station users through genetic algorithm. The example shows that the method is easy to use and can effectively guide the distribution operation and inspection personnel to accurately determine the phase sequence of station users and reduce the three-phase imbalance of distribution transformers.
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