Hybrid distribution transformers (HDTs), which combine traditional transformers and power electronic converters, possess the capability for rapid and precise control of high-voltage side currents and low-voltage side voltages and currents. To explore more possibilities for HDT DC bus voltage control, this paper replaces the proportional-integral controller with a fuzzy logic controller and calculates and summarizes the optimal mathematical functions. Consequently, an expert database matching the mathematical functions is established, and a centroid method is employed for defuzzification. The proposed fuzzy control method can effectively control the voltage of the HDT’s DC bus capacitor while significantly enhancing the transient control capability of the DC bus voltage controller. The aforementioned topology and control method are modeled on the Saber simulation platform, and simulation analyses are conducted for the control processes during the device startup phase and sudden changes in load power. The final simulation results verify the correctness and feasibility of the proposed fuzzy control method.

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The Fuzzy Controller for DC Bus Voltage of Hybrid Distribution Transformers

  • Zixia Sang,
  • Jiong Yan,
  • Cong Wei,
  • Xu Zheng

摘要

Hybrid distribution transformers (HDTs), which combine traditional transformers and power electronic converters, possess the capability for rapid and precise control of high-voltage side currents and low-voltage side voltages and currents. To explore more possibilities for HDT DC bus voltage control, this paper replaces the proportional-integral controller with a fuzzy logic controller and calculates and summarizes the optimal mathematical functions. Consequently, an expert database matching the mathematical functions is established, and a centroid method is employed for defuzzification. The proposed fuzzy control method can effectively control the voltage of the HDT’s DC bus capacitor while significantly enhancing the transient control capability of the DC bus voltage controller. The aforementioned topology and control method are modeled on the Saber simulation platform, and simulation analyses are conducted for the control processes during the device startup phase and sudden changes in load power. The final simulation results verify the correctness and feasibility of the proposed fuzzy control method.