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Optimization of direct power control of three-phase shunt active power filter by using PSO algorithm

机译:利用PSO算法优化三相并联有源电力滤波器的直接功率控制

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This paper presents the modelling and simulation of a three-phase shunt active power filter (SAPF) using the direct power control (DPC) based on the Particle Swarm Optimization (PSO) algorithm for power quality improvement. In the DPC technique, the switches states of the inverter are selected from a table of switching based on the immediate errors between the active and reactive powers and their reference values. PSO algorithm is used in order to optimize the PI controller gains of the DC link voltage. This PI-PSO gives better results for robustness, harmonic minimization and reduces the overshoot and undershoot of PI controller. A MATLAB/SIMILINK simulation is provided to demonstrate the performance of the proposed approach.
机译:本文介绍了一种基于粒子群优化(PSO)算法的直接功率控制(DPC)的三相并联有源电力滤波器(SAPF)的建模和仿真,以提高电能质量。在DPC技术中,基于有功功率和无功功率及其参考值之间的立即误差,从开关表中选择逆变器的开关状态。使用PSO算法来优化DC链路电压的PI控制器增益。该PI-PSO可以为鲁棒性,谐波最小化提供更好的结果,并减少PI控制器的过冲和下冲。提供了MATLAB / SIMILINK仿真来演示所提出方法的性能。

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