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MATLAB Simulation of UPQC for Power Quality Mitigation Using an Ant Colony Based Fuzzy Control Technique

机译:基于蚁群的模糊控制技术的UPQC缓解电能质量的MATLAB仿真

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摘要

This paper proposes a fuzzy logic based new control scheme for the Unified Power Quality Conditioner (UPQC) for minimizing the voltage sag and total harmonic distortion in the distribution system consequently to improve the power quality. UPQC is a recent power electronic module which guarantees better power quality mitigation as it has both series-active and shunt-active power filters (APFs). The fuzzy logic controller has recently attracted a great deal of attention and possesses conceptually the quality of the simplicity by tackling complex systems with vagueness and ambiguity. In this research, the fuzzy logic controller is utilized for the generation of reference signal controlling the UPQC. To enable this, a systematic approach for creating the fuzzy membership functions is carried out by using an ant colony optimization technique for optimal fuzzy logic control. An exhaustive simulation study using the MATLAB/Simulink is carried out to investigate and demonstrate the performance of the proposed fuzzy logic controller and the simulation results are compared with the PI controller in terms of its performance in improving the power quality by minimizing the voltage sag and total harmonic distortion.
机译:本文提出了一种基于模糊逻辑的统一电能质量调节器(UPQC)的新控制方案,以使配电系统中的电压骤降和总谐波失真最小,从而改善了电能质量。 UPQC是最新的电力电子模块,由于具有串联有源和并联有源电力滤波器(APF),因此可以保证更好的电能质量缓解。模糊逻辑控制器最近引起了很多关注,并且在概念上具有模糊性和歧义性,可以解决复杂系统的问题。在这项研究中,模糊逻辑控制器用于控制UPQC的参考信号的生成。为此,通过使用蚁群优化技术进行最优模糊逻辑控制,从而创建了模糊隶属函数的系统方法。使用MATLAB / Simulink进行了详尽的仿真研究,以研究和证明所提出的模糊逻辑控制器的性能,并将仿真结果与PI控制器进行了比较,就其通过最大程度地降低电压暂降和改善电压质量来改善电能质量的性能而言。总谐波失真。

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