基于智能控制器多级逆变器拓扑的电能质量调节器统一性能

Salim Chennai
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引用次数: 2

摘要

提出了一种采用模糊和人工神经网络控制的基于三级中性点箝位的统一电能质量调节器(UPQC)系统。所提出的UPQC能够减轻源电流谐波并补偿所有电压干扰。它是通过串联和并联有源滤波器(AFs)的集成来设计的,它们共用一个共同的直流母线电容器。直流电压用比例积分电压控制器保持恒定。并联型有源滤波器采用同步参考帧理论获取参考信号,串联型有源滤波器采用功率无功理论获取参考信号。传统的控制方案需要复杂的计算,智能系统的使用有助于减少控制系统的规模和操作的复杂性。由控制算法导出的并联和串联有源电力滤波器(APF)参考信号被注入到模糊和人工神经智能控制器中产生开关信号。利用Matlab-Simulink软件和SimPowerSystem工具箱对UPQC系统在各种工况下的性能进行了评估。仿真结果表明,本文提出的基于智能控制器的UPQC在稳定和暂态工况下均能改善电能质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unified Power Quality Conditioner Performance based on Multi-level Inverter Topologies using Intelligent Controllers
This paper presents unified power quality conditioner (UPQC) system based on three-level neutral point clamped (NPC) using Fuzzy and ANN controllers. The proposed UPQC is able to mitigate source current harmonics and compensate all voltage disturbances. It is designed by the integration of series and shunt active filters (AFs) sharing a common DC bus capacitor. The DC voltage is maintained constant using proportional integral voltage controller. The synchronous reference frame (SRF) theory is used to get the reference signals for the shunt APF and the power reactive theory (P-Q theory) for the series APF.Conventional control schemes require complex calculations, the use of intelligent systems help to reduce the control system size and the operation complexity. The shunt and series active power filter (APF) reference signals derived from the control algorithm are injected in Fuzzy and Ann intelligent controllers to generate switching signals. The performances of the proposed UPQC system are evaluated using Matlab-Simulink software and SimPowerSystem Toolbox under various operation conditions. The simulation results show the performance of the proposed UPQC based on intelligent controllers to improve the power quality in steady and transient conditions operation.
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