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Reduced simulative performance analysis of variable step size ANN based MPPT techniques for partially shaded solar PV systems
SR Kiran, CHH Basha, VP Singh… - IEEE …, 2022 - ieeexplore.ieee.org
The rise in energy demand in the present scenario can be balanced with the help of solar
Photovoltaic (PV) systems. But, the nonlinearity in IV and PV characteristics makes it very …
Photovoltaic (PV) systems. But, the nonlinearity in IV and PV characteristics makes it very …
Control approaches of power electronic converter interfacing grid-tied PMSG-VSWT system: A comprehensive review
The growing interest in wind power technology is motivating researchers and decision-
makers to focus on maximizing wind energy extraction and enhancing the quality of power …
makers to focus on maximizing wind energy extraction and enhancing the quality of power …
Proposed frequency decoupling-based fuzzy logic control for power allocation and state-of-charge recovery of hybrid energy storage systems adopting multi-level …
This paper proposes a decentralized multiple-Direct-Current-Microgrid (multi-DCMG) system
to supply affordable load demands while addressing challenges posed by Hybridized …
to supply affordable load demands while addressing challenges posed by Hybridized …
Model predictive control and linear control of DC–DC boost converter in low voltage DC microgrid: An experimental comparative study
It is challenging to select the best control strategy to regulate the output voltage of a DC–DC
boost converter in DC MicroGrids (MGs). Indeed, the controller must cope with the standard …
boost converter in DC MicroGrids (MGs). Indeed, the controller must cope with the standard …
Artificial neural network based conditional controllers with saturated action for multi-renewable hybrid alternating or direct current microgrids in islanded and grid …
In today's ever-evolving power generation landscape, a transformative shift is unfolding,
propelled by the rise of renewable energy microgrids, revolutionizing conventional electricity …
propelled by the rise of renewable energy microgrids, revolutionizing conventional electricity …
An improved microgrid energy management system based on hybrid energy storage system using ANN NARMA-L2 controller
This research describes an intelligent Energy Management System (EMS) for a microgrid
application that employs a Nonlinear Autoregressive Moving Average Level 2 (NARMA-L2) …
application that employs a Nonlinear Autoregressive Moving Average Level 2 (NARMA-L2) …
Enhancing hybrid energy storage systems with advanced low-pass filtration and frequency decoupling for optimal power allocation and reliability of cluster of DC …
This study introduces an innovative power-split approach for hybrid energy storage systems
(HESS) and diesel generators, utilizing frequency decoupling and a combination of classical …
(HESS) and diesel generators, utilizing frequency decoupling and a combination of classical …
Power distribution optimization for hybrid power source integrated with battery and super-capacitor considering vehicle energy consumption
G Ren, Y Li, J Zhang, Y Duan, Y Si, C Yan - Energy Conversion and …, 2024 - Elsevier
The enhancement of energy utilization of battery/super-capacitor hybrid power source can
improve the driving economy of electric vehicle. Introducing optimization algorithms to …
improve the driving economy of electric vehicle. Introducing optimization algorithms to …
[HTML][HTML] Implementation of nonlinear controller to improve DC microgrid stability: a comparative analysis of sliding mode control variants
Electricity generation from sustainable renewable energy sources is constantly accelerating
due to a rapid increase in demand from consumers. This requires an effective energy …
due to a rapid increase in demand from consumers. This requires an effective energy …
Type-2 fuzzy logic PID control for efficient power balance in an AC microgrid
R Saraswat, S Suhag - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
This study suggests the Type-2 fuzzy logic proportional-integral-derivative (T2-FLPID)
control strategy, optimally tuned using particle swarm optimization (PSO), for exigence …
control strategy, optimally tuned using particle swarm optimization (PSO), for exigence …