To address the challenge that traditional SSPC fixed-parameter protection strategies struggle to adapt to different load characteristics such as capacitive, inductive, and resistive loads, this paper proposes an adaptive intelligent SSPC system based on load characteristic identification. The system analyses the transient response characteristics of the main power circuit at energisation, automatically and accurately identifies the load type, and adaptively invokes the optimal protection strategy based on the identification results. For capacitive loads, a pre-charging strategy utilising load capacitance suppresses inrush currents during closing. For inductive loads, anti-parallel diodes completely eliminate switching overvoltages during tripping. A system simulation model developed on the Simulink platform validated the effectiveness of the proposed design. Simulation results demonstrate that the system accurately identifies load types, suppresses inrush currents for capacitive loads to within 1 times the rated current, and completely eliminates turn-off overvoltages for inductive loads. This significantly enhances system reliability and intelligence.

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Research on Adaptive Intelligent Solid-State Power Controller Based on Load Characteristic Identification

  • Zhongzheng Zhou,
  • Jinwei Zhao,
  • Zhicheng Qi,
  • Congzhe Zhou

摘要

To address the challenge that traditional SSPC fixed-parameter protection strategies struggle to adapt to different load characteristics such as capacitive, inductive, and resistive loads, this paper proposes an adaptive intelligent SSPC system based on load characteristic identification. The system analyses the transient response characteristics of the main power circuit at energisation, automatically and accurately identifies the load type, and adaptively invokes the optimal protection strategy based on the identification results. For capacitive loads, a pre-charging strategy utilising load capacitance suppresses inrush currents during closing. For inductive loads, anti-parallel diodes completely eliminate switching overvoltages during tripping. A system simulation model developed on the Simulink platform validated the effectiveness of the proposed design. Simulation results demonstrate that the system accurately identifies load types, suppresses inrush currents for capacitive loads to within 1 times the rated current, and completely eliminates turn-off overvoltages for inductive loads. This significantly enhances system reliability and intelligence.