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A Novel Multiobjective Control of DVR to Enhance Power Quality of Sensitive Load

机译:DVR的新型多目标控制可提高灵敏负载的电能质量

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摘要

The Dynamic Voltage Restorer (DVR) is one of the fast, flexible, and cost effective solutions available in compensating the voltage-related power quality problems in power distribution systems. In this paper is discussed how power quality enhancement of sensitive load is achieved by applying three versions of Autonomous Group Particle Swarm Optimization like AGPSO1, AGPSO2, and AGPSO3 for tuning the Proportional-Integral DVR controller under balanced and nonlinear load conditions. A novel multiobjective function is formulated to express the control performance of the system, which is quantified using three power quality indices such as Total Harmonic Distortion (THD), voltage sag index, and RMS voltage variation. The obtained results are compared with the Proportional-Integral (PI) controller tuned by Ziegler-Nichols (ZN) method and also by Simple Particle Swarm Optimization based PI controlled DVR. The proposed methodology has improved the performance in terms of the considered power quality indices and the simulation has been carried out in MATLAB/Simulink environment.
机译:动态电压恢复器(DVR)是可用于补偿配电系统中与电压相关的电能质量问题的快速,灵活且经济高效的解决方案之一。本文讨论了如何通过应用三个版本的自主群粒子群优化算法(如AGPSO1,AGPSO2和AGPSO3)在平衡和非线性负载条件下调整比例积分DVR控制器来实现灵敏负载的电能质量增强。制定了一种新颖的多目标函数来表示系统的控制性能,该函数使用三个电能质量指标(例如总谐波失真(THD),电压骤降指标和RMS电压变化)进行量化。将获得的结果与通过Ziegler-Nichols(ZN)方法以及基于PI的简单粒子群优化控制的DVR调整的比例积分(PI)控制器进行比较。所提出的方法已在考虑的电能质量指标方面提高了性能,并且在MATLAB / Simulink环境中进行了仿真。

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