[HTML][HTML] A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under …
This article presents a comparative analysis of the latest swarm-based optimization
approaches under partial shading conditions (PSCs) for maximum power point tracking …
approaches under partial shading conditions (PSCs) for maximum power point tracking …
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 …
MPPT algorithm based on artificial bee colony for PV system
Energy structures from non-conventional energy source has become highly demanded
nowadays. In this way, the maximum power extraction from photovoltaic (PV) systems has …
nowadays. In this way, the maximum power extraction from photovoltaic (PV) systems 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 …
Extraction of maximum power from PV system based on horse herd optimization MPPT technique under various weather conditions
This paper introduces a novel approach that extracts the maximum power from photovoltaic
(PV) system utilizing the Horse Herd Optimization (HHO) algorithm under different weather …
(PV) system utilizing the Horse Herd Optimization (HHO) algorithm under different weather …
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 …
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 …
Energy aware resource optimization using unified metaheuristic optimization algorithm allocation for cloud computing environment
In recent times, cloud computing (CC) has rapidly emerged as an effective framework for
offering IT infrastructure, resources, and services on a pay-per-use basis. An extensive …
offering IT infrastructure, resources, and services on a pay-per-use basis. An extensive …
Green energy extraction for sustainable development: A novel MPPT technique for hybrid PV-TEG system
The Photovoltaic (PV) module converts only a small portion of irradiance into electrical
energy. Most of the solar energy is wasted as heat, resulting in a rise in PV cell temperature …
energy. Most of the solar energy is wasted as heat, resulting in a rise in PV cell temperature …
[HTML][HTML] Enhancing efficient solar energy harvesting: a process-in-loop investigation of MPPT control with a novel stochastic algorithm
PV systems currently generate 4% of the world's energy needs, and their share is growing
quickly. The maximum power point tracking (MPPT) is a complex non-convex optimization …
quickly. The maximum power point tracking (MPPT) is a complex non-convex optimization …