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Showing 2 results for Naik

P. Lakshman Naik, H. Jafari, T. Sudhakar Babu, A. Anil, S. Venkata Padmavathi, D. Nazarpour,
Volume 19, Issue 2 (June 2023)
Abstract

This paper demonstrates an enhancement of power quality in grid integrated systems with the help of the proposed control strategy for voltage source converter based active power filters. The Shunt Active Power filters (SAPF) are extensively utilized in modern grid integrated systems to diminish the power quality concerns associated with it. The SAPF is one of the various power filters, which has better dynamic performance. The SAPF requires an accurate control strategy that provides robust performance under source and loads unbalance conditions. The proposed control scheme is responsible for generating the gate signals to activate the operation of Voltage Source Converter (VSC) based Active Power Filter. Thus, the performance of mitigation of harmonics of source current principally depends on the adopted algorithm. The present paper represents a performance study of a control scheme to mitigate power quality issues in the grid integrated system. The proposed system is modelled and simulated in MATLAB-Simulink in Simpower system block set.

Mahendra Shridhar Naik, Chaitra S N, Amit Kumar K,
Volume 21, Issue 4 (December 2025)
Abstract

6LoWPAN is a significant innovation for low-power devices such as sensors and motes, enabling efficient communication in IoT networks. This paper examines the impact of topology and sink node placement on data delivery within these networks, focusing on the Routing Protocol for Low-Power and Lossy Networks (RPL). Various network performance metrics are evaluated to determine optimal routing paths, revealing that increased node density and network size lead to higher delays and congestion. The study highlights that the central placement of the sink node enhances performance. Comparatively, mesh topology outperforms random topology in terms of efficiency. Simulations were conducted to evaluate the effectiveness of Objective Functions (OFs), specifically OF0 and MRHOF. The results indicate that MRHOF surpasses OF0, with performance improvements scaling with network size.

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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.