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A critical review on advanced reconfigured models and metaheuristics-based MPPT to address complex shadings of solar array
VL Mishra, YK Chauhan, KS Verma - Energy Conversion and Management, 2022 - Elsevier
An intricate issue suffered by photovoltaic systems is partial shading condition (PSC) which
is an unavoidable and complex problem. It degrades the maximum power generation and …
is an unavoidable and complex problem. It degrades the maximum power generation and …
[HTML][HTML] Marine predators algorithm: A comprehensive review
S Mugemanyi, Z Qu, FX Rugema, Y Dong… - Machine Learning with …, 2023 - Elsevier
Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …
A novel meta-heuristic optimization algorithm based MPPT control technique for PV systems under complex partial shading condition
The need to combat the increase in global warming is well taken by solar energy lead
renewable energy resources. The techno-economic feasibility of solar systems in the form of …
renewable energy resources. The techno-economic feasibility of solar systems in the form of …
[HTML][HTML] Marine predator algorithm (MPA)-based MPPT technique for solar PV systems under partial shading conditions
SK Vankadara, S Chatterjee, PK Balachandran… - Energies, 2022 - mdpi.com
To satisfy global electrical energy requirements, photovoltaic (PV) energy is a promising
source that can be obtained from the available alternative sources, but partial shading …
source that can be obtained from the available alternative sources, but partial shading …
[HTML][HTML] Data-driven green energy extraction: Machine learning-based MPPT control with efficient fault detection method for the hybrid PV-TEG system
The hybrid photovoltaic-thermoelectric generation system (PVTEG) gives two-fold benefits;
firstly, it efficiently utilizes the available solar energy as it converts both solar irradiance and …
firstly, it efficiently utilizes the available solar energy as it converts both solar irradiance and …
[HTML][HTML] Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems
Large scale integration of renewable energy system with classical electrical power
generation system requires a precise balance to maintain and optimize the supply–demand …
generation system requires a precise balance to maintain and optimize the supply–demand …
[HTML][HTML] Novel initialization strategy: Optimizing conventional algorithms for global maximum power point tracking
N Al-Tawalbeh, MH Zafar, MAM Radzi… - Results in …, 2024 - Elsevier
In this research, a novel initialization strategy for conventional MPPT algorithms is proposed
to define the best position for the tracking process to start over the P–V curve. Consequently …
to define the best position for the tracking process to start over the P–V curve. Consequently …
High-efficiency hybrid PV-TEG system with intelligent control to harvest maximum energy under various non-static operating conditions
Recently the cleaner energy production is in high demand. Renewable energy systems such
as photovoltaic (PV), thermoelectric generators (TEG), concentrated solar, geothermal, wind …
as photovoltaic (PV), thermoelectric generators (TEG), concentrated solar, geothermal, wind …
A novel improved grey wolf algorithm based global maximum power point tracker method considering partial shading
Considering photovoltaic systems' sustainability and environmental friendliness, they have
been widely used due to ease of installation as their cost reduces and their efficiency is …
been widely used due to ease of installation as their cost reduces and their efficiency is …
Towards green energy for sustainable development: Machine learning based MPPT approach for thermoelectric generator
The rapidly increasing demand for electrical energy and the depletion of fossil fuels ignited
research in renewable energy generation and management. Thermoelectric generation …
research in renewable energy generation and management. Thermoelectric generation …