Enhancing Conventional Power Grids: Analyzing the Impact of Renewable Distributed Generation Integration Using PSO in the 118‐Bus IEEE System DOI Creative Commons
Ghada Wahby, Ibrahim I. M. Manhrawy, Belgacem Bouallègue

и другие.

International Journal of Energy Research, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

Many traditional distribution systems (TDSs) flaws and weaknesses are fixed when renewable distributed generations (RDGs) is integrated into them. Some of the forces that have driven work on integration sources modern conventional power effective strategies for increasing system efficiency reducing total cost. This paper introduces particle swarm optimization (PSO) method solving problems related to optimal flow (OPF) involve solar photovoltaics (PVs) wind turbines (WT). The aim improve algorithm’s ability conduct comprehensive searches best possible solution. Therefore, a modified investigation impact such losses cost reduction at large grid approach using PSO choose hourly load in 118 bus IEEE utilize MATPOWER simulations communication network modeling with RDG under various operational situations. Simulation results confirmed algorithm can be an efficient choice solve OPF problem, minimize number generators (Gs), losses, compared fuel source. provides deep analysis how combine benefits increase sustainability economics grid, salient conclusions energy industry aiming performance.

Язык: Английский

High precision experimentally validated adaptive neuro fuzzy inference system controller for DC motor drive system DOI Creative Commons
Muhammad Akram Bhayo, J.A. Laghari, Mohammad Aljaidi

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 25, 2025

Язык: Английский

Процитировано

0
Optimized SVR with nature-inspired algorithms for environmental modelling of mycotoxins in food virtual-water samples DOI Creative Commons
A. G. Usman, Sagiru Mati, Hanita Daud

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 13, 2025

The accurate determination of mycotoxins in food samples is crucial to guarantee safety and minimize their toxic effects on human animal health. This study proposed the use a support vector regression (SVR) predictive model improved by two metaheuristic algorithms used for optimization namely, Harris Hawks Optimization (HHO) Particle Swarm (PSO) predict chromatographic retention time various mycotoxin groups. dataset was collected from secondary sources train validate SVR-HHO SVR-PSO models. performance models assessed via mean square error, correlation coefficient, Nash-Sutcliffe efficiency. outperformed existing methods 4-7% both learning (training testing) phases respectively. By using optimization, parameter adjustment became more effective, avoiding trapping local minima improving generalization. These results demonstrate how machine metaheuristics may be combined accurately forecast levels, providing useful tool regulatory compliance monitoring. framework perfect commercial quality assurance, testing, extensive programs because it provides exceptional accuracy resilience predicting times. In contrast conventional models, effectively manages intricate nonlinear interactions, guaranteeing identification while lowering hazards

Язык: Английский

Процитировано

0
Enhancing Conventional Power Grids: Analyzing the Impact of Renewable Distributed Generation Integration Using PSO in the 118‐Bus IEEE System DOI Creative Commons
Ghada Wahby, Ibrahim I. M. Manhrawy, Belgacem Bouallègue

и другие.

International Journal of Energy Research, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

Many traditional distribution systems (TDSs) flaws and weaknesses are fixed when renewable distributed generations (RDGs) is integrated into them. Some of the forces that have driven work on integration sources modern conventional power effective strategies for increasing system efficiency reducing total cost. This paper introduces particle swarm optimization (PSO) method solving problems related to optimal flow (OPF) involve solar photovoltaics (PVs) wind turbines (WT). The aim improve algorithm’s ability conduct comprehensive searches best possible solution. Therefore, a modified investigation impact such losses cost reduction at large grid approach using PSO choose hourly load in 118 bus IEEE utilize MATPOWER simulations communication network modeling with RDG under various operational situations. Simulation results confirmed algorithm can be an efficient choice solve OPF problem, minimize number generators (Gs), losses, compared fuel source. provides deep analysis how combine benefits increase sustainability economics grid, salient conclusions energy industry aiming performance.

Язык: Английский

Процитировано

0