An improved current-limiting strategy for shunt active power filter (SAPF) using particle swarm optimization (PSO)

An improved current-limiting strategy for shunt active power filter (SAPF) using particle swarm optimization (PSO)
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DOI:
10.1109/apec.2018.8341057
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发表时间:
2018-03
期刊:
2018 IEEE Applied Power Electronics Conference and Exposition (APEC)
影响因子:
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通讯作者:
W. Cao;Mumu Wu;Jianfeng Zhao;Weiqun Liu;Yu Lu
W. Cao;Mumu Wu;Jianfeng Zhao;Weiqun Liu;Yu Lu
中科院分区:
其他
文献类型:
--
作者:
W. Cao;Mumu Wu;Jianfeng Zhao;Weiqun Liu;Yu Lu

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并联型有源电力滤波器的限流策略在补偿容量需求超过额定容量时自动启动。然而,传统的限流策略无法实现最优目标的综合保护。本文首先揭示了SAPF综合保护的限流需求的本质,即限流控制对象:1)补偿电流的均方根(RMS)(主要用于IGBT和电感的过热保护);2)补偿电流瞬时波(主要用于精确电流控制和IGBT Icnom规范)和3)PWM-VSC调制电压瞬时波(用于线性闭环控制的需要)。其次,提出了一种改进的基于粒子群优化(PSO)的限流方案,以实现两个优化目标:1)使电网侧电流的THD最小;2) SAPF容量的最大利用率。其主要优点是实时计算各谐波阶的最优极限比,实现了柔性和线性的极限控制。最后通过仿真和实验验证了所提策略的有效性。
The current-limiting strategy for shunt active power filter (SAPF) will be activated automatically, when the compensation-capacity need exceeds the rated capacity. However, the traditional current-limiting strategy cannot realize the comprehensive protection with optimum objectives. The paper firstly reveals the essential of the current-limiting demands for the comprehensive protection of SAPF, namely the limiting control objects: 1) the root mean square (RMS) of the compensation current (mainly for the overheat protection of the IGBT and inductor); 2) the instantaneous wave of compensation current (mainly for the accurate current control and IGBT Icnom specification) and 3) the instantaneous wave of PWM-VSC modulation voltage (for the need of liner close-loop control). Secondly, the paper proposes an improved current-limiting scheme based on particle swarm optimization (PSO) to achieve the two optimization targets: 1) the minimization THD for the grid-side current; 2) the maximization utilization ratio for the capacity of the SAPF. The main advantage lies on the optimum limiting ratios of each harmonic order are calculated in real time respectively to achieve the flexible and liner limiting control. Finally, simulation and experiment verify the effectiveness of the proposed strategy.