Results 1 to 10 of about 29,715 (147)

Optimal Allocation and Sizing of PV Generation Units in Distribution Networks via the Generalized Normal Distribution Optimization Approach

Computers, 2022
The problem of optimal siting and dimensioning of photovoltaic (PV) generators in medium-voltage distribution networks is addressed in this research from the perspective of combinatorial optimization.
Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Carlos Andres Ramos-Paja   +2 more
doaj   +3 more sources

Optimal Reactive Power Compensation via D-STATCOMs in Electrical Distribution Systems by Applying the Generalized Normal Distribution Optimizer

Algorithms, 2023
This research deals with the problem regarding the optimal siting and sizing of distribution static compensators (D-STATCOMs) via the application of a master–slave optimization technique. The master stage determines the nodes where the D-STATCOMs must be
Laura Patricia García-Pineda, Oscar Danilo Montoya   +1 more
doaj   +2 more sources

Enhanced generalized normal distribution optimizer with Gaussian distribution repair method and cauchy reverse learning for features selection [PDF]

Scientific Reports
The presence of noisy, redundant, and irrelevant features in high-dimensional datasets significantly degrades the performance of classification models. Feature selection is a critical pre-processing step to mitigate this issue by identifying an optimal ...
Mohamed Ghetas, Mohamed Abd Elaziz, Mohamed Issa   +2 more
doaj   +2 more sources

Integration of Distributed Energy Resources in Unbalanced Networks Using a Generalized Normal Distribution Optimizer

Computation
This article proposes an optimization methodology to address the joint placement as well as the capacity design of PV units and D-STATCOMs within unbalanced three-phase distribution systems. The proposed model adopts a mixed-integer nonlinear programming
Laura Sofía Avellaneda-Gómez, Brandon Cortés-Caicedo, Oscar Danilo Montoya, Jesús M. López-Lezama   +3 more
doaj   +2 more sources

Optimizing brushless direct current motor design: An application of the multi-objective generalized normal distribution optimization

Heliyon
In this study, we tackle the challenge of optimizing the design of a Brushless Direct Current (BLDC) motor. Utilizing an established analytical model, we introduced the Multi-Objective Generalized Normal Distribution Optimization (MOGNDO) method, a ...
Sundaram B. Pandya, Pradeep Jangir, Miroslav Mahdal, Kanak Kalita, Jasgurpreet Singh Chohan, Laith Abualigah   +5 more
doaj   +4 more sources

Parametric estimation in three-phase induction motors using torque data via the generalized normal distribution optimizer

Results in Engineering
This research addresses the parametric estimation problem in three-phase induction motors by applying a recently developed metaheuristic method known as the generalized normal distribution optimizer (GNDO).
Oscar Danilo Montoya, Cristian H. De Angelo, Guillermo Bossio   +2 more
doaj   +2 more sources

Parameter estimation in single-phase transformers via the generalized normal distribution optimizer while considering voltage and current measurements

Results in Engineering
This research addresses, from a perspective of metaheuristic optimization, the problem regarding parametric estimation in single-phase transformers while considering voltage and current measures at the terminals of the transformer and weighing linear ...
Juan David Camelo-Daza, Diego Noel Betancourt-Alonso, Oscar Danilo Montoya, Ernesto Gómez-Vargas   +3 more
doaj   +2 more sources

Truss optimization with natural frequency constraints using generalized normal distribution optimization

Applied Intelligence, 2022
The newly proposed Generalized Normal Distribution Optimization (GNDO) algorithm is used to design the truss structures with optimal weight. All trusses optimized have frequency constraints, which make them very challenging optimization problems. A large number of locally optimal solutions and non-convexity of search space make them difficult to solve,
Nima Khodadadi, Seyedali Mirjalili
openaire   +2 more sources

Solar Photovoltaic Integration in Monopolar DC Networks via the GNDO Algorithm

Algorithms, 2022
This paper focuses on minimizing the annual operative costs in monopolar DC distribution networks with the inclusion of solar photovoltaic (PV) generators while considering a planning period of 20 years. This problem is formulated through a mixed-integer
Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña   +2 more
doaj   +1 more source

Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks

Mathematics, 2023
This paper presents an efficient master–slave methodology to solve the problem of integrating photovoltaic (PV) generators into DC grids for a planning period of 20 years.
Luis Fernando Grisales-Noreña, Brandon Cortés-Caicedo, Gerardo Alcalá, Oscar Danilo Montoya   +3 more
doaj   +1 more source