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Adaptive hysteresis based fuzzy controlled shunt active power filter for mitigation of harmonics

机译:基于自适应磁滞的模糊控制并联有源电力滤波器,用于减轻谐波

摘要

Active filters are widely employed in distribution system to reduce the harmonics produced by non-linear loads result in voltage distortion and leads to various power quality problems. In this work the simulation study of a Adaptive hysteresis based fuzzy logic controlled shunt active power filter capable of reducing the total harmonic distortion is presented. The advantage of fuzzy control is that it is based on a linguistic description and does not require a mathematical model of the system and it can adapt its gain according to the changes in load. The instantaneous p-q theory is used for calculating the compensating current. Fuzzy-adaptive hysteresis band technique is adopted for the current control to derive the switching signals for the voltage source inverter. The fuzzy-adaptive hysteresis band current controller changes the hysteresis bandwidth according to the supply voltage and slope of the reference compensator current wave. A fuzzy logic-based controller is developed to control the voltage of the DC Capacitor. This work presents and compares the performance of the fuzzy-adaptive controller with a conventional fuzzy and PI controller under constant load. The total Harmonic Distortion, Individual harmonic content with respect to % of fundamental in Supply current, source voltage have been analyzed. Various simulation results are presented. And also the performance of two current control techniques namely adaptive hysteresis current control and fixed hysteresis control techniques are compared with respect to average switching frequency. A neural network control method for regulating the DC Voltage across the capacitor connected to the inverter for harmonic suppression is proposed. The THD of the source current after compensation is well below 5%, the harmonic limit imposed by the IEEE-519 standard.
机译:有源滤波器广泛用于配电系统中,以减少非线性负载产生的谐波,从而导致电压失真并导致各种电能质量问题。在这项工作中,提出了一种能够减少总谐波失真的基于自适应磁滞的模糊逻辑控制并联有源电力滤波器的仿真研究。模糊控制的优势在于它基于语言描述,不需要系统的数学模型,并且可以根据负载的变化来调整其增益。瞬时p-q理论用于计算补偿电流。电流控制采用模糊自适应迟滞带技术,以导出电压源逆变器的开关信号。模糊自适应磁滞带电流控制器根据电源电压和参考补偿器电流波的斜率来改变磁滞带宽。开发了基于模糊逻辑的控制器来控制直流电容器的电压。这项工作提出并比较了在恒定负载下模糊自适应控制器与常规模糊和PI控制器的性能。分析了总谐波失真,相对于电源电流,电源电压中基波百分比的单个谐波含量。给出了各种仿真结果。并且还针对平均开关频率比较了两种电流控制技术的性能,即自适应磁滞电流控制和固定磁滞控制技术。提出了一种神经网络控制方法,用于调节与逆变器相连的电容器两端的直流电压,以抑制谐波。补偿后的源电流的THD远低于5%(IEEE-519标准规定的谐波极限)。

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    Amara Chandrasekhar;

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  • 年度 2013
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