Artificial neural networks in MPPT algorithms for optimization of photovoltaic power systems: A review
The use of photovoltaic systems for clean electrical energy has increased. However, due to
their low efficiency, researchers have looked for ways to increase their effectiveness and …
their low efficiency, researchers have looked for ways to increase their effectiveness and …
Comprehensive review on detection and classification of power quality disturbances in utility grid with renewable energy penetration
The global concern with power quality is increasing due to the penetration of renewable
energy (RE) sources to cater the energy demands and meet de-carbonization targets. Power …
energy (RE) sources to cater the energy demands and meet de-carbonization targets. Power …
Optimizing step-size of perturb & observe and incremental conductance MPPT techniques using PSO for grid-tied PV system
A maximum power point tracking (MPPT) technique plays an important role to ensure
maximum photovoltaic (PV) output power is extracted under stochastic weather conditions …
maximum photovoltaic (PV) output power is extracted under stochastic weather conditions …
Rooftop solar pv penetration impacts on distribution network and further growth factors—a comprehensive review
In order to meet the electricity needs of domestic or commercial buildings, solar energy is
more attractive than other renewable energy sources in terms of its simplicity of installation …
more attractive than other renewable energy sources in terms of its simplicity of installation …
[HTML][HTML] An improved MOPSO algorithm for optimal sizing & placement of distributed generation: A case study of the Tunisian offshore distribution network (ASHTART)
R Sellami, S Farooq, N Rafik - Energy Reports, 2022 - Elsevier
Investigation of power distribution systems is an attractive field in the power system analysis.
The location and size of Distributed Generation (DG) are important and an uncontrollable …
The location and size of Distributed Generation (DG) are important and an uncontrollable …
Discrete fractional-order Caputo method to overcome trap** in local optima: Manta Ray Foraging Optimizer as a case study
Enhancing the exploration and exploitation phases of the metaheuristic (MH) optimization
algorithms is the key to avoiding local optima. The Manta ray foraging optimizer is a recently …
algorithms is the key to avoiding local optima. The Manta ray foraging optimizer is a recently …
Role of metaheuristic approaches for implementation of integrated MPPT-PV systems: a comprehensive study
An effective MPPT approach plays a significant role in increasing the efficiency of a PV
system. Solar energy is a rich renewable energy source that is supplied to the earth in …
system. Solar energy is a rich renewable energy source that is supplied to the earth in …
A sequential ensemble model for photovoltaic power forecasting
During this era of the energy crisis, when the non-renewable sources are rapidly
diminishing, efforts are being taken to utilize renewable sources predominantly. This …
diminishing, efforts are being taken to utilize renewable sources predominantly. This …
Maximizing solar power generation through conventional and digital MPPT techniques: a comparative analysis
A substantial level of significance has been placed on renewable energy systems,
especially photovoltaic (PV) systems, given the urgent global apprehensions regarding …
especially photovoltaic (PV) systems, given the urgent global apprehensions regarding …
Events Recognition and Power Quality Estimation in Distribution Network in the Presence of Solar PV Generation
A method using features computed from voltage by applying Hilbert transform (HT) and
Stockwell transform (ST) for event recognition and power quality (PQ) estimation in …
Stockwell transform (ST) for event recognition and power quality (PQ) estimation in …