Numerical methods for power flow analysis in DC networks: State of the art, methods and challenges
This study addresses the power-flow-analysis problem for direct-current (DC) grids from a
numerical perspective. Classical and emerging algorithms for power flow solutions in DC …
numerical perspective. Classical and emerging algorithms for power flow solutions in DC …
[HTML][HTML] A review of classical methods and Nature-Inspired Algorithms (NIAs) for optimization problems
PK Mandal - Results in Control and Optimization, 2023 - Elsevier
Optimization techniques are among the most promising methods to deal with real-world
problems, consisting of several objective functions and constraints. Over the decades, many …
problems, consisting of several objective functions and constraints. Over the decades, many …
Optimal power flow using a hybridization algorithm of arithmetic optimization and aquila optimizer
In this paper, a hybridization method based on Arithmetic optimization algorithm (AOA) and
Aquila optimizer (AO) solver namely, the AO-AOA is applied to solve the Optimal Power Flow …
Aquila optimizer (AO) solver namely, the AO-AOA is applied to solve the Optimal Power Flow …
Numerical computing to solve the nonlinear corneal system of eye surgery using the capability of Morlet wavelet artificial neural networks
In this study, a novel heuristic computing technique is presented to solve bioinformatics
problem for the corneal shape model of eye surgery using Morlet wavelet artificial neural …
problem for the corneal shape model of eye surgery using Morlet wavelet artificial neural …
Power flow analysis in DC grids: Two alternative numerical methods
OD Montoya, VM Garrido… - … on Circuits and …, 2019 - ieeexplore.ieee.org
This express brief proposes two new iterative approaches for solving the power flow
problem in direct current networks as efficient alternatives to the classical Gauss-Seidel and …
problem in direct current networks as efficient alternatives to the classical Gauss-Seidel and …
[HTML][HTML] Design of intelligent computing solver with Morlet wavelet neural networks for nonlinear predator–prey model
The design of integrated intelligent computing solver with Morlet wavelet neural networks
(MW-NNs) is presented for solving the mathematical predator–prey model by exploiting the …
(MW-NNs) is presented for solving the mathematical predator–prey model by exploiting the …
[HTML][HTML] An advanced heuristic approach for a nonlinear mathematical based medical smoking model
The present study is related to solve the nonlinear dynamics of a smoke model using
artificial neural networks (ANNs) under the optimization procedures of global heuristic and …
artificial neural networks (ANNs) under the optimization procedures of global heuristic and …
A novel design of morlet wavelet to solve the dynamics of nervous stomach nonlinear model
The present study introduces a novel design of Morlet wavelet neural network (MWNN)
models to solve a class of a nonlinear nervous stomach system represented with governing …
models to solve a class of a nonlinear nervous stomach system represented with governing …
Energy management system for the optimal operation of PV generators in distribution systems using the antlion optimizer: A Colombian urban and rural case study
This paper presents an Energy Management System (EMS) for solving the problem
regarding the optimal daily operation of Photovoltaic (PV) distributed generators in Alternate …
regarding the optimal daily operation of Photovoltaic (PV) distributed generators in Alternate …
Optimal power flow for bipolar DC microgrids
This paper proposes an optimal power flow (OPF) formulation for bipolar DC microgrids. The
bipolar DC microgrid can integrate distributed generations (DGs) and supply power to end …
bipolar DC microgrid can integrate distributed generations (DGs) and supply power to end …