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基于改进PSO算法的双流制牵引供电系统优化控制研究

Research on Optimization Control of Dual Current Traction Power Supply System Based on Improved PSO Algorithm

  • 摘要: 针对现有双流制牵引供电系统的再生制动能量利用率低问题,提出一种交直流一体化的双流制牵引供电系统及其优化控制方法。首先,研究双流制牵引供电系统的拓扑结构,基于负序补偿原理阐明交流与直流系统间的功率分配关系;然后,研究一种结合模糊PI和二阶广义积分算法的DQ电流解耦控制策略,并采用改进的PSO算法优化模糊PI控制器参数;最后,通过MATLAB/Simulink仿真模拟不同工况,验证模型的可行性及控制策略的正确性。

     

    Abstract: Aiming at the low utilization rate of regenerative braking energy in the existing dual-current traction power supply system, a dual-current traction power supply system integrated with AC and DC and its optimization control method are proposed. Firstly, the topology of the dual-current traction power supply system is studied, and the relationship between AC and DC power distribution is clarified based on the principle of negative sequence compensation. Secondly, a DQ current decoupling control strategy combining the fuzzy PI and the second-order generalized integral algorithm is investigated, and an improved PSO algorithm is used to optimize the parameters of the fuzzy PI controller. Lastly, the feasibility of the model and the control strategy are verified by simulating different working conditions through MATLAB/Simulink. Finally, different working conditions are simulated by MATLAB/Simulink to verify the feasibility of the model and the correctness of the control strategy.

     

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