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首页> 外文期刊>Journal of Power and Energy Engineering >Harmonic Suppression Method Based on Immune Particle Swarm Optimization Algorithm in Micro-Grid
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Harmonic Suppression Method Based on Immune Particle Swarm Optimization Algorithm in Micro-Grid

机译:微电网中基于免疫粒子群算法的谐波抑制方法

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摘要

Distributed generation has attracted great attention in recent years, thanks to the progress in new-generation technologies and advanced power electronics. And micro-grid can make full use of distributed generation, so it has been widespread concern. On the other hand due to the extensive use of power electronic devices and many of the loads within micro-grid are nonlinear in nature, Micro-grid generate a large number of harmonics, so harmonics pollution needs to be addressed. Usually we use passive filter to filter out harmonic, in this paper, we propose a new method to optimize the filter parameters, so passive filter can filter out harmonic better. This method utilizes immune particle swarm optimization algorithm to optimize filter parameters. It can be shown from the simulation results that the proposed method is effective for micro-grid voltage harmonics compensation.
机译:得益于新一代技术和先进电力电子技术的进步,分布式发电近年来引起了极大的关注。而且微电网可以充分利用分布式发电,因此受到了广泛的关注。另一方面,由于电力电子设备的广泛使用,并且微电网内的许多负载本质上都是非线性的,因此微电网会产生大量谐波,因此需要解决谐波污染问题。通常我们使用无源滤波器来滤除谐波,本文提出了一种优化滤波器参数的新方法,以使无源滤波器能够更好地滤除谐波。该方法利用免疫粒子群算法优化滤波器参数。从仿真结果可以看出,该方法对微电网电压谐波补偿是有效的。

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