Control of DSTATCOM in Distribution Systems by Artificial Intelligence based Controller

P. Meena, Piyush Dua, Nilayan Maji, Ankita Arora
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引用次数: 2

Abstract

Power quality relevant problems are of most concern nowadays. Reasons behind the problems for the quality of power are the use of non-linear devices. Due to their nonlinearity, all these loads cause disturbances in the supply of power services, efficiency of system, power factor decrement etc. In this paper, the SRFT, IRPT, and ANFIS named respectively synchronous reference frame theory, Instantaneous reactive power theory and Adaptive neuro fuzzy inference system-based control algorithms for a three-Phase DSTATCOM are proposed for power Quality improvement in grid connection. The DSTATCOM is basically operated for compensating current harmonics injected in the supply current because of non-linear loads and also used for improvement in power factor, active and reactive balancing of power. The simulation, performance analysis, and comparison are done on MATLAB Simulink software.
基于人工智能控制器的配电系统DSTATCOM控制
电能质量相关问题是当今人们最为关注的问题。电能质量问题背后的原因是非线性器件的使用。这些负荷由于其非线性特性,会对供电、系统效率、功率因数衰减等产生干扰。本文提出了同步参考系理论、瞬时无功理论和基于自适应神经模糊推理系统的三相DSTATCOM的SRFT、IRPT和ANFIS控制算法,以改善并网时的电能质量。DSTATCOM主要用于补偿由于非线性负载注入电源电流中的电流谐波,也用于改善功率因数、有功和无功平衡。在MATLAB Simulink软件上进行了仿真、性能分析和比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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