Artificial intelligence based grid connected inverters for power quality improvement in smart grid applications

SR Das, PK Ray, AK Sahoo, KK Singh… - Computers & Electrical …, 2021 - Elsevier
Abstract 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 …

Power quality assessment of microgrid using fuzzy controller aided modified SRF based designed SAPF

PK Barik, G Shankar, PK Sahoo - International Transactions on …, 2020 - Wiley Online Library
Microgrid (MG), a localized modular power system comprising of distribution generations
(DGs) and loads, acts as a single controllable unit in relation to grid. It may either operate in …

[HTML][HTML] Comparative analysis of control techniques using a PV-based SAPF integrated grid system to enhance power quality

R Boopathi, V Indragandhi - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
The deterioration of power quality due to the increased adoption of Power Electronic
Switching Devices is a major concern for electrical engineers. In addition to industrial loads …

Adaptive network-based fuzzy inference system (ANFIS) applied to inverters: a survey.

OS Vargas, SEDL Aldaco, JA Alquicira… - … on Power Electronics, 2023 - ieeexplore.ieee.org
In recent years, adaptive network-based fuzzy inference systems (ANFIS) applied in various
engineering fields have demonstrated their ability to combine the learning capability of …

Tuning of asymmetrical fuzzy logic control algorithm for SPV system connected to grid

N Gupta, R Garg - international journal of hydrogen energy, 2017 - Elsevier
Solar Photovoltaic (SPV) cells and hydrogen fuel cells are green and efficient Distributed
Energy Resources (DERs) with minimal environmental impact. Integration of DERs with …

Development of control techniques using modified fuzzy based SAPF for power quality enhancement

TMT Thentral, K Vijayakumar, S Usha… - IEEE …, 2021 - ieeexplore.ieee.org
Low power distribution systems have severe power quality issues due to the non-linearity of
several residential and industrial loads. The main power quality issue is the harmonics …

Neuro-Fuzzy-Based IoT assisted power monitoring system for smart grid

S Ghosh - IEEE Access, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is commonly utilized for intelligent energy control, industrial
automation, and a host of other applications. IoT sensors are installed in various stages of …

Industrial power quality enhancement using fuzzy logic based photovoltaic integrated with three phase shunt hybrid active filter and adaptive controller

SR Das, AP Hota, HM Pandey, BM Sahoo - Applied Soft Computing, 2022 - Elsevier
Across the globe, solar photovoltaic (PV) sources are treated as the most favorable
renewable sources which can fulfill a larger percentage of the total electricity demand with …

[PDF][PDF] A novel energy management scheme using ANFIS for independent microgrid

T Bogaraj, J Kanakaraj - International Journal of Renewable Energy …, 2016 - academia.edu
In this paper an energy management technique for Hybrid Renewable Energy System
(HRES) connected with AC load using Adaptive Neuro Fuzzy Interference System (ANFIS) is …

Investigations on split-source inverter based shunt active power filter integrated microgrid system for improvement of power quality issues

PK Barik, G Shankar, PK Sahoo - Journal of Electrical Engineering & …, 2022 - Springer
To meet the constantly rising energy demand, renewable energy sources are increasingly
being used in power networks, transforming the traditional power distribution system into a …