基于粒子群优化的PID优化控制在无功补偿装置中的应用研究

F. Bai, Minhui Wang
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引用次数: 0

摘要

良好的控制方法是实现无功补偿的关键。由于传统的PID控制参数不能实时动态改变,会影响控制性能。为了优化PID控制参数,提出了在传统PID控制的基础上加入粒子群优化算法的控制方法,并分析了该方法在一种新型动态无功补偿装置(TCC)中的效果。并通过Matlab/simulink建模与PID控制方法进行比较。为了进一步验证其可行性,在RTDS中建立了模型,并进行了系统仿真。仿真和实验结果表明,该控制方法能对TCC装置取得较好的无功补偿效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Application of Optimized PID Control Based on Particle Swarm Optimization in Reactive Power Compensation Device
A good control method is essential to realize reactive power compensation. Because the traditional PID control parameters can't be changed dynamically in real time, which will affect the control performance. To optimize the PID control parameters, this paper proposes a control method that Adds particle swarm optimization algorithm on the basis of traditional PID control, then analyzes the effect of this method in a new type of dynamic reactive power compensation device(TCC). and compares with PID control method through Matlab/simulink modeling. In order to further verify its feasibility, the model is built in RTDS, and System simulation is carried out. The simulation and experimental results show that the control method can achieve a better reactive compensation effect on the TCC device.
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