The Smart Grid (SG) is treated as the next level of modern power system which uses the bilateral flow of power and information. The ability of the smart grid for two-way communication amid the utility and consumers makes the grid smart. For proper functioning, all the elements and parameters associated with it should work effectively and efficiently. Power Quality (PQ) is an important issue related to a modern power system. In this paper, more focus is given on PQ improvement in the microgrid (MG) system (which is a part of SG) using shunt hybrid filters (SHF). The performance of SHF is investigated using an improved and advanced controlling technique, i.e., Adaptive Fuzzy-Neural-Network (AFNN) Control for achieving an efficient SG operating under different scenarios of loads and supply voltages. The proposed controller is compared with the other controlling techniques like adaptive fuzzy sliding (AFS) control and adaptive fuzzy back stepping (AFBS). The analysis is performed with the MATLAB/ Simulink tool.

智能电网 (SG) 被视为使用电力和信息双向流动的现代电力系统的下一级。智能电网在公用事业和消费者之间进行双向通信的能力使电网变得智能。为了正常运行，与其相关的所有元素和参数都应该有效且高效地工作。电能质量 (PQ) 是与现代电力系统相关的重要问题。在本文中，更多关注使用并联混合滤波器 (SHF) 的微电网 (MG) 系统（它是 SG 的一部分）中的 PQ 改进。使用改进和先进的控制技术，即自适应模糊神经网络 (AFNN) 控制来研究 SHF 的性能，以实现在不同负载和电源电压情况下的高效 SG 操作。所提出的控制器与其他控制技术，如自适应模糊滑动 (AFS) 控制和自适应模糊反步 (AFBS) 进行了比较。分析是使用 MATLAB/Simulink 工具进行的。