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首页> 外文期刊>Electric power systems research >Investigations on shunt active power filter in a PV-wind-FC based hybrid renewable energy system to improve power quality using hardware-in-the-loop testing platform
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Investigations on shunt active power filter in a PV-wind-FC based hybrid renewable energy system to improve power quality using hardware-in-the-loop testing platform

机译：基于硬件在环测试平台的基于PV-风-FC的混合可再生能源系统中的并联有源功率滤波器的研究，以提高电能质量

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摘要

The current power distribution system involves usage of nonlinear loads that cause power quality problems. Further, the penetration of renewable energy sources is increasing in the power networks to satisfy the consistently rising energy demand, which changes the traditional network plan and control drastically. This paper presents an intelligently controlled hybrid energy system (HES) integrated with shunt active power filter (SAPF) to address the power quality problems. Renewable sources like-Wind, PV and fuel cell (FC) are integrated into HES and are regulated using artificial intelligence techniques that are also implemented for maximum power point tracking (MPPT) in both PV and wind energy systems. The dynamic performance of SAPF is optimized using fuzzy logic, neural network and adaptive neuro-fuzzy inference system (ANFIS) based control algorithms. These controllers provide the smooth DC -link voltage and minimize the total harmonic distortion (THD) produced by the balanced/unbalanced and nonlinear loads. Comparison of these reveal that the ANFIS based algorithm provides minimum THD. The system is tested in real-time using hardware-in-the-loop (HIL) setup. The control schemes are executed on FPGA based OPAL-RT4510computational engine with microsecond step.
机译：当前的配电系统涉及导致功率质量问题的非线性负载的使用。此外，可再生能源在电力网络中的渗透率正在增加，以满足不断增长的能源需求，这极大地改变了传统的网络计划并进行了控制。本文提出了一种智能控制混合能源系统（HES），该系统与并联有源电力滤波器（SAPF）集成在一起，以解决电能质量问题。风能，光伏和燃料电池（FC）等可再生能源已集成到HES中，并使用人工智能技术进行监管，这些人工智能技术还实现了光伏和风能系统中的最大功率点跟踪（MPPT）。 SAPF的动态性能使用基于模糊逻辑，神经网络和基于自适应神经模糊推理系统（ANFIS）的控制算法进行了优化。这些控制器可提供平滑的直流链路电压，并将平衡/不平衡和非线性负载产生的总谐波失真（THD）降至最低。这些比较表明，基于ANFIS的算法可提供最小的THD。使用硬件在环（HIL）设置对系统进行了实时测试。控制方案在基于FPGA的OPAL-RT4510计算引擎上执行，步长为微秒。

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