A Fuzzy Logic-Based Control Strategy for Power Balance and Enhance Power Quality in a Grid-Tied PV System

S. Farook, Malligunta Kiran Kumar, A. Sekhar, K. Balaji, Nanda Kumar Reddy
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Abstract

This study emphasizes grid-connected solar photovoltaic systems and fuzzy controllers to optimize the duty cycle of the DC-DC converter and separate the essential components from load current and produce firing signals for voltage source converter operation. The power demand requirement and minimize power quality problems at the common point of coupling were ensured by a fuzzy-based MPPT used to change the duty cycle of the controller and extract the fundamental signals based on the fuzzy similarity index under variable irradiance and ambient temperature conditions. The control approach was applied to a PV system feeding both linear and non-linear loads connected to the grid. The simulation results show a considerable improvement in the performance of the control strategy in mitigating the harmonic disturbances in the system and were inconsist with the requirements of IEEE-519.
一种基于模糊逻辑的并网光伏系统功率平衡与提高电能质量控制策略
本研究以并网太阳能光伏系统和模糊控制器为重点,优化DC-DC变换器的占空比,分离负载电流中的基本元件,并产生点火信号供电压源变换器运行。在变辐照度和变环境温度条件下,利用基于模糊相似度指标的模糊MPPT来改变控制器占空比,提取基本信号,以保证电力需求需求和最大限度地减少耦合共点处的电能质量问题。将该控制方法应用于光伏发电系统,该系统同时馈送并网的线性和非线性负荷。仿真结果表明,该控制策略在抑制系统谐波干扰方面有较大改善,但不符合IEEE-519的要求。
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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