Load Balancing Control Method for Multi Power Grid Connected Inverters Based on Adaboost Algorithm and Predictive Compensation

The load control process of inverters independently controls active and reactive power, which has certain limitations and leads to high system current distortion rate. Therefore, a load balancing control method for multi power grid connected inverters based on Adaboost algorithm and predictive compensation is proposed. Analyze the topology structure of multi power grid connected inverters, describe the neutral point voltage of grid connection under normal conditions based on the power distribution of power balance state and voltage imbalance state, establish vector diagrams of voltage and current, obtain threephase current imbalance degree, achieve unbalanced load monitoring, predict load power through Adaboost algorithm, compensate the power grid system based on the prediction results, and achieve load balance control. To verify the effectiveness of the method, a simulation experimental platform was built. The experimental results showed that the proposed method had better voltage control effect and reduced current distortion rate under unbalanced resistive and harmonic loads.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/iccepe66357.2025.11193152
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Load Balancing Control Method for Multi Power Grid Connected Inverters Based on Adaboost Algorithm and Predictive Compensation

Tianyun Luo, Yifan Liang, Yuan Fu, Jialun Zhao
Power Systems and Renewable Energy
article

Load Balancing Control Method for Multi Power Grid Connected Inverters Based on Adaboost Algorithm and Predictive Compensation

Tianyun Luo, Yifan Liang, Yuan Fu, Jialun Zhao
article en

Abstract

The load control process of inverters independently controls active and reactive power, which has certain limitations and leads to high system current distortion rate. Therefore, a load balancing control method for multi power grid connected inverters based on Adaboost algorithm and predictive compensation is proposed. Analyze the topology structure of multi power grid connected inverters, describe the neutral point voltage of grid connection under normal conditions based on the power distribution of power balance state and voltage imbalance state, establish vector diagrams of voltage and current, obtain threephase current imbalance degree, achieve unbalanced load monitoring, predict load power through Adaboost algorithm, compensate the power grid system based on the prediction results, and achieve load balance control. To verify the effectiveness of the method, a simulation experimental platform was built. The experimental results showed that the proposed method had better voltage control effect and reduced current distortion rate under unbalanced resistive and harmonic loads.

China Southern Power Grid (China) (CN)
Openalex Percentile: Top 68%
Power Systems and Renewable Energy
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Load Balancing Control Method for Multi Power Grid Connected Inverters Based on Adaboost Algorithm and Predictive Compensation — Tianyun Luo, Yifan Liang, et al. · (2025) | TGRS Research Map | TGRS