Multi-objective economic operation of smart distribution network with renewable-flexible virtual power plants considering voltage security index

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 19, 2024

This paper discusses the simultaneous management of active and reactive power a flexible renewable energy-based virtual plant placed in smart distribution system, based on economic, operational, voltage security objectives system operator. The formulated problem aims to specify minimum weighted sum energy cost, loss, index, considering optimal flow model, formulation, operating model plant. unit includes sources, like wind systems, photovoltaic, bio-waste units. Flexibility resources include electric vehicle parking lot price-based demand response. In mentioned scheme, parameters load, vehicles, prices are uncertain. utilizes Unscented Transformation method for modeling uncertainties. Fuzzy decision-making is utilized extract compromised solution. suggested approach innovatively considers with vehicles performed promote network objectives. According numerical results, units capable boosting operation, status by approximately 43%, 47-62%, 26.9%, respectively, studies. Only response can improve security, economic states about 19.5%, 35-47%, 44%, compared model.

Язык: Английский

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Optimizing diabetic retinopathy detection with inception-V4 and dynamic version of snow leopard optimization algorithm

Biomedical Signal Processing and Control, Год журнала: 2024, Номер 96, С. 106501 - 106501

Опубликована: Июнь 1, 2024

Язык: Английский

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Timely detection of skin cancer: An AI-based approach on the basis of the integration of Echo State Network and adapted Seasons Optimization Algorithm

Biomedical Signal Processing and Control, Год журнала: 2024, Номер 94, С. 106324 - 106324

Опубликована: Апрель 22, 2024

Язык: Английский

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SOFC stack modeling: a hybrid RBF-ANN and flexible Al-Biruni Earth radius optimization approach

International Journal of Low-Carbon Technologies, Год журнала: 2024, Номер 19, С. 1337 - 1350

Опубликована: Янв. 1, 2024

Abstract This study introduces a novel hybrid methodology for model identification of solid oxide fuel cell (SOFC) stacks by integrating radial basis function-based artificial neural network (RBF-ANN) with flexible Al-Biruni Earth radius optimizer (FA-BERO). The primary objective the proposed method is to augment precision and efficiency SOFC stack modeling considering advantages both RBF-ANN FA-BERO algorithms. main purpose using these two methods optimize structure based on suggested algorithm. other contribution this improving (A-BERO) applying improvements it, including constriction factor elimination phase increase exploration exploitation strength basic A-BERO. To validate effectiveness model, it compared some state-of-the-art models in field, such as multi-armed bandit algorithm (ANN/MABA) rotor Hopfield grey wolf optimization (RHNN/GWO). Furthermore, validated experimental data, final results demonstrate efficacy approach accurately representing intricate behavior stacks. achieves lower error rates (ERs) root mean squared errors (RMSEs) than comparative across different arrangements temperature conditions. show that, instance, 2/12/1 arrangement at 900°C, attains an ER 6.69% RMSE 2.13, while ANN/MABA RHNN/GWO obtain ERs 9.67% 8.54%, well values 24.48 9.23, respectively. also exhibits superior accuracy convergence speed methods, shown current–voltage curves analysis. Consequently, offers valuable tool researchers engineers working domain technology, enabling them better understand performance.

Язык: Английский

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Thermodynamic, economic, and environmental analyses and multi-objective optimization of a CCHP system based on solid oxide fuel cell and gas turbine hybrid power cycle

Fuel, Год журнала: 2024, Номер 368, С. 131649 - 131649

Опубликована: Апрель 8, 2024

Язык: Английский

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Stochastic economic sizing of hydrogen storage-based renewable off-grid system with smart charge of electric vehicles according to combined hydrogen and power model

Journal of Energy Storage, Год журнала: 2025, Номер 108, С. 115171 - 115171

Опубликована: Янв. 5, 2025

Язык: Английский

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Optimal economic model of a combined renewable energy system utilizing Modified

Sustainable Energy Technologies and Assessments, Год журнала: 2025, Номер 74, С. 104186 - 104186

Опубликована: Янв. 23, 2025

Язык: Английский

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Reliable operation of reconfigurable smart distribution network with real-time pricing-based demand response

Electric Power Systems Research, Год журнала: 2024, Номер 241, С. 111341 - 111341

Опубликована: Дек. 12, 2024

Язык: Английский

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Economic and technical analysis of an HRES (Hybrid Renewable Energy System) comprising wind, PV, and fuel cells using an improved subtraction-average-based optimizer

Heliyon, Год журнала: 2024, Номер 10(12), С. e32712 - e32712

Опубликована: Июнь 1, 2024

HRES (Hybrid Renewable Energy Systems) has been designed because of the increasing demand for environmentally friendly and sustainable energy. In this study, an Improved Subtraction-Average-Based Optimizer (ISABO) is presented optimizing system by wind power, fuel cells, solar The suggested approach, introducing adaptive mechanisms enhancing processes, improves performance traditional subtraction-average-based optimization. Optimization aims to provide reliable efficient energy while lowering expenses. efficacy ISABO evaluated goal compared with other optimization techniques. According findings, algorithm, when equipped mechanisms, surpasses conventional techniques achieving a 12 % decrease in Net Present Cost (NPC) Levelized Electricity (LCOE) along 45 cost reduction electrolyzers. Through simulations, it shown that algorithm ensures lowest average NPC at $1,357,018.15 also upholding reliability just 0.8 decline Load Point Supply Probability (LPSP) event PV unit failure. This research validates hybrid PV/wind/fuel cell systems present superior cost-effectiveness reliability, thereby opening doors more economical renewable solutions. study reveals are cost-effective than purely wind, PV, or systems. advancement design will enable options.

Язык: Английский

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Capability of battery-based integrated renewable energy systems in the energy management and flexibility regulation of smart distribution networks considering energy and flexibility markets

Journal of Energy Storage, Год журнала: 2024, Номер 98, С. 113007 - 113007

Опубликована: Июль 25, 2024

Язык: Английский

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