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 …
Parameter extraction of solar photovoltaic cell and module models with metaheuristic algorithms: A review
Z Gu, G Xiong, X Fu - Sustainability, 2023 - mdpi.com
As the photovoltaic (PV) market share continues to increase, accurate PV modeling will have
a massive impact on the future energy landscape. Therefore, it is imperative to convert …
a massive impact on the future energy landscape. Therefore, it is imperative to convert …
Identification of parameters in photovoltaic models through a runge kutta optimizer
Recently, the resources of renewable energy have been in intensive use due to their
environmental and technical merits. The identification of unknown parameters in …
environmental and technical merits. The identification of unknown parameters in …
[HTML][HTML] An efficient heap-based optimizer for parameters identification of modified photovoltaic models
The identification of parameters in solar cell models continue being an important issue in the
simulation and design of the photovoltaic systems (PV). The models commonly used are …
simulation and design of the photovoltaic systems (PV). The models commonly used are …
Performance of osprey optimization algorithm for solving economic load dispatch problem
The osprey optimization algorithm (OOA) is a new metaheuristic motivated by the strategy of
hunting fish in seas. In this study, the OOA is applied to solve one of the main items in a …
hunting fish in seas. In this study, the OOA is applied to solve one of the main items in a …
Optimal reactive power dispatch using a chaotic turbulent flow of water-based optimization algorithm
In this study, an optimization algorithm called chaotic turbulent flow of water-based
optimization (CTFWO) algorithm is proposed to find the optimal solution for the optimal …
optimization (CTFWO) algorithm is proposed to find the optimal solution for the optimal …
A hybrid heartbeats classification approach based on marine predators algorithm and convolution neural networks
The electrocardiogram (ECG) is a non-invasive tool used to diagnose various heart
conditions. Arrhythmia is one of the primary causes of cardiac arrest. Early ECG beat …
conditions. Arrhythmia is one of the primary causes of cardiac arrest. Early ECG beat …
Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm
V Janamala, K Radha Rani - Clean Energy, 2022 - academic.oup.com
This paper proposes to resolve optimal solar photovoltaic (SPV) system locations and sizes
in electrical distribution networks using a novel Archimedes optimization algorithm (AOA) …
in electrical distribution networks using a novel Archimedes optimization algorithm (AOA) …
Performance of turbulent flow of water optimization on economic load dispatch problem
The economic load dispatch (ELD) problems considering nonlinear characteristics where an
optimal combination of power generating units is selected in order to minimize the total cost …
optimal combination of power generating units is selected in order to minimize the total cost …
Economic load dispatch problem based on search and rescue optimization algorithm
The Search and Rescue optimization algorithm (SAR) is a recent metaheuristic inspired by
the exploration's behaviour for humans throughout search and rescue processes. The SAR …
the exploration's behaviour for humans throughout search and rescue processes. The SAR …