Optimization of Redundant Power Supply Based on Improved PSO Method

Dual redundant power supply is an effective means to ensure the reliability of safety level instrumentation and control systems in nuclear power plants. However, due to parameter line resistance, source capacitance and other factors in circuit, dual redundant power supply will be affected by reverse voltage under certain conditions. To improve this situation, a redundant power supply system optimization method based on particle swarm optimization was proposed. According to the mechanism of dual redundant power supply, an equivalent parameter circuit model was established, and the transfer function from input voltage to output voltage was derived. The main factors affecting the reverse voltage were identified by sensitivity analysis. Based on the improved PSO method, the parameters of the circuit were optimized under constraints. The simulation results have demonstrated the effectiveness of the improved PSO method, and the performance of the optimized system has been improved.