基于老化先导和挑战者的粒子群算法

Pradeep Kumar, Ashutosh Kumar Singh, Rambir Singh
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引用次数: 1

摘要

采用脉宽调制(PWM)控制电压源逆变器(VSI)拓扑结构的并联有源滤波器(SAPF)在配电网中广泛应用于电流谐波抑制和无功补偿。对于SAPF中的参考电流产生,使用PI控制器,需要对其进行最优增益调谐,以获得最佳响应。提出了一种新颖的带老化前导和挑战者的粒子群优化算法(ALC-PSO),用于PI控制器的整定。在动态响应和谐波抑制方面,与传统的PI控制器进行了比较。同时,对采用细菌觅食(BF)、细菌群觅食(BFS)和粒子群优化(PSO)等进化算法进行PI控制器的整定进行了评价。结果表明,基于ALC-PSO的PI控制器可以提供最佳的PI控制器增益,以实现有效的谐波抑制和更大的动态响应改善。
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Aging leader and challenger based PSO for harmonic mitigation using SAPF
Shunt active power filters (SAPF) using pulse width modulation (PWM) controlled voltage source inverter (VSI) topology is extensively utilized in the distribution network for current harmonic mitigation and reactive power compensation. For reference current generation in the SAPF, the PI controller is utilized, which is required to be tuned with optimal gains, to obtain the best response. This paper presents a novel particle swarm optimization algorithm with aging leader and challenger (ALC-PSO) for the PI controller tuning. The performance of the proposed PI controller, in terms of dynamic response and harmonic mitigation, is compared with the conventional PI controller. Also, an assessment for PI controller tuning using evolutionary algorithms, namely, Bacterial Foraging (BF), Bacterial Foraging with Swarming (BFS), and Particle Swarm Optimization (PSO) is presented. The results obtained show that the ALC-PSO based PI controller can provide optimum PI controller gains for efficient harmonic mitigation and much more improved dynamic response.
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