Advances in solar photovoltaic tracking systems: A review
Solar photovoltaic technology is one of the most important resources of renewable energy.
However, the current solar photovoltaic systems have significant drawbacks, such as high …
However, the current solar photovoltaic systems have significant drawbacks, such as high …
[HTML][HTML] A comprehensive review of power quality mitigation in the scenario of solar PV integration into utility grid
Solar photo-voltaic (SPV) is a major contributor of renewable energy (RE) sources, which
plays an important role in tackling climate change, reducing the cost of energy, improving …
plays an important role in tackling climate change, reducing the cost of energy, improving …
Supervised imitation learning of finite-set model predictive control systems for power electronics
M Novak, T Dragicevic - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
In the past years, finite-set model predictive control (FS-MPC) has received a lot of attention
in the power electronics field. Due to very simple inclusion of the control objectives and …
in the power electronics field. Due to very simple inclusion of the control objectives and …
LLMLF-based control approach and LPO MPPT technique for improving performance of a multifunctional three-phase two-stage grid integrated PV system
This study presents a novel leaky least mean logarithmic fourth (LLMLF) based control
technique and learning based perturb and observe (LPO) maximum power point tracking …
technique and learning based perturb and observe (LPO) maximum power point tracking …
An improved radial basis function neural network control strategy-based maximum power point tracking controller for wind power generation system
R Sitharthan, T Parthasarathy… - Transactions of the …, 2019 - journals.sagepub.com
This literature presents an improved maximum power point tracking (MPPT) controller based
on radial basis function neural network (RBFNN) control strategy to extract optimal power for …
on radial basis function neural network (RBFNN) control strategy to extract optimal power for …
Review on single-DC-source multilevel inverters: Voltage balancing and control techniques
M Trabelsi, AN Alquennah… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Nowadays, single-dc-source multilevel inverter (SDCS-MLI) topologies are being
considered as more suitable for many power system applications such as renewable energy …
considered as more suitable for many power system applications such as renewable energy …
Adaptive power point tracking control of PV system for primary frequency regulation of AC microgrid with high PV integration
Z Li, Z Cheng, J Si, S Zhang, L Dong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the increasing integration of PV generation in AC microgrids, it is challenging to keep
the stability of system frequency due to the intermittent and stochastic nature of PVs. Thus, in …
the stability of system frequency due to the intermittent and stochastic nature of PVs. Thus, in …
A highly-efficient fuzzy-based controller with high reduction inputs and membership functions for a grid-connected photovoltaic system
Most conventional Fuzzy Logic Controller (FLC) rules are based on the knowledge and
experience of expert operators: given a specific input, FLCs produce the same output …
experience of expert operators: given a specific input, FLCs produce the same output …
Fractional-order notch filter for grid-connected solar PV system with power quality improvement
In this article, we deal with the development of a fractional-order notch filter (FONF) for a grid-
connected solar photovoltaic (PV) system. The developed FONF control approach is used to …
connected solar photovoltaic (PV) system. The developed FONF control approach is used to …
Survey on adaptative neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems
Solar energy has been considered as one of the leading renewable energy sources for
electric power generation. Therefore, intending to deal with a low energy conversion …
electric power generation. Therefore, intending to deal with a low energy conversion …