Materials Today Communications, Год журнала: 2024, Номер 40, С. 109806 - 109806
Опубликована: Июль 9, 2024
Язык: Английский
Materials Today Communications, Год журнала: 2024, Номер 40, С. 109806 - 109806
Опубликована: Июль 9, 2024
Язык: Английский
Journal of Energy Storage, Год журнала: 2024, Номер 94, С. 112389 - 112389
Опубликована: Июнь 13, 2024
Язык: Английский
Процитировано
37Alexandria Engineering Journal, Год журнала: 2024, Номер 105, С. 300 - 330
Опубликована: Июль 6, 2024
Язык: Английский
Процитировано
28Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Май 13, 2024
Abstract This paper explores scenarios for powering rural areas in Gaita Selassie with renewable energy plants, aiming to reduce system costs by optimizing component numbers meet demands. Various scenarios, such as combining solar photovoltaic (PV) pumped hydro-energy storage (PHES), utilizing wind PHES, and integrating a hybrid of PV, wind, have been evaluated based on diverse criteria, encompassing financial aspects reliability. To achieve the results, meta-heuristics Multiobjective Gray wolf optimization algorithm (MOGWO) Grasshopper (MOGOA) were applied using MATLAB software. Moreover, optimal sizing has investigated real-time assessment data meteorological from Sillasie, Ethiopia. Metaheuristic techniques employed pinpoint most favorable loss power supply probability (LPSP) least cost (COE) total life cycle (TLCC) system, all while meeting operational requirements various scenarios. The Multi-Objective Grey Wolf Optimization technique outperformed Algorithm problem, suggested results. Furthermore, MOGWO findings, PV-Wind-PHES demonstrated lowest COE (0.126€/kWh) TLCC (€6,897,300), along satisfaction village's demand LPSP value. In PV-Wind-PHSS scenario, are 38%, 18%, 2%, 1.5% lower than those Wind-PHS PV-PHSS at 0%, according Overall, this research contributes valuable insights into design implementation sustainable solutions remote communities, paving way enhanced access environmental sustainability.
Язык: Английский
Процитировано
15Journal of Energy Storage, Год журнала: 2024, Номер 99, С. 113320 - 113320
Опубликована: Авг. 23, 2024
Язык: Английский
Процитировано
15Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Май 4, 2024
Abstract This research discusses the solar and wind sourcesintegration in aremote location using hybrid power optimization approaches a multi energy storage system with batteries supercapacitors. The controllers PV turbine systems are used to efficiently operate maximum point tracking (MPPT) algorithms, optimizing overall performance while minimizing stress on components. More specifically, generator, provided method integrating Perturb & Observe (P&O) Fuzzy Logic Control (FLC) methods. Meanwhile, for turbine, proposed approach combines P&O FLC These MPPT strategies photovoltaic (PV) aim optimize its operation, taking advantage of complementary features two While primary these is both therefore system, they also supply electricity load. For storage, this isolated renewable play crucial role due several specific benefits reasons. Unfortunately, their density still relatively lower compared some other forms storage. Moreover, have limited number charge–discharge cycles before capacity degrades significantly. Supercapacitors (SCs) provide significant advantages certain applications, particularly those that need density, quick charging discharging, long cycle life. However, limitations, such as voltage requirements, make them most effective when combined technologies, batteries. Furthermore, enhanced, result more dependable cost-effective (HESS). paper introduces novel algorithm management designed an efficient control. it focuses managing keep state charge (SOC) within defined range. simple effective. ensures longevity SCs maximizing performance. results reveal suggested successfully keeps limits (SOC). To show significance design choices impact battery’s SOC, which components, comparison been made. A classical one (PV/wind turbine/batteries) HESS batteries). scenario investigated resources appears be optimum solution areas where complementary. balance between seems contribute less potentially leading longer lifespan. An economical study has made, Homer Pro software, feasibility studied area.
Язык: Английский
Процитировано
13Energy, Год журнала: 2024, Номер 308, С. 132937 - 132937
Опубликована: Авг. 22, 2024
Язык: Английский
Процитировано
13AIMS Mathematics, Год журнала: 2024, Номер 9(8), С. 21952 - 21971
Опубликована: Янв. 1, 2024
<p>In today's electricity markets, accurate price forecasting provides valuable insights for decision-making among participants, ensuring reliable operation of the power system. However, complex characteristics time series hinder accessibility to forecasting. This study addressed this challenge by introducing a novel approach predicting prices in Peruvian market. involved preprocessing monthly addressing missing values, stabilizing variance, normalizing data, achieving stationarity, and seasonality issues. After this, six standard base models were employed model series, followed applying three ensemble forecast filtered series. Comparisons conducted between predicted observed using mean error accuracy measures, graphical evaluation, an equal statistical test. The results showed that proposed was efficient tool Moreover, outperformed earlier studies. Finally, while numerous global studies have been from various perspectives, no analysis has undertaken learning market.</p>
Язык: Английский
Процитировано
11Process Safety and Environmental Protection, Год журнала: 2024, Номер 208, С. 242 - 257
Опубликована: Июль 4, 2024
Язык: Английский
Процитировано
10Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Июль 8, 2024
Abstract The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and environmental issues. Integrating large number PHEVs with advanced control storage capabilities can enhance the flexibility distribution grid. This study proposes an innovative management strategy (EMS) using Iterative map-based self-adaptive crystal structure algorithm (SaCryStAl) specifically designed for microgrids renewable sources (RESs) PHEVs. goal is optimize multi-objective scheduling microgrid wind turbines, micro-turbines, fuel cells, solar photovoltaic systems, batteries balance power store excess energy. aim minimize operating costs while considering impacts. optimization problem framed as nonlinear constraints, fuzzy logic aid decision-making. In first scenario, optimized all RESs installed within predetermined boundaries, in addition grid connection. second operates turbine at rated power. third case involves integrating into three charging modes: coordinated, smart, uncoordinated, utilizing standard RES SaCryStAl showed superior performance operation cost, emissions, execution time compared traditional CryStAl other recent methods. proposed achieved optimal solutions scenario cost emissions 177.29 €ct 469.92 kg, respectively, reasonable frame. it yielded values 112.02 196.15 respectively. Lastly, achieves 319.9301 €ct, 160.9827 128.2815 uncoordinated charging, coordinated smart modes Optimization results reveal that outperformed evolutionary algorithms, such differential evolution, CryStAl, Grey Wolf Optimizer, particle swarm optimization, genetic algorithm, confirmed through test cases.
Язык: Английский
Процитировано
10Journal of Energy Storage, Год журнала: 2024, Номер 90, С. 111880 - 111880
Опубликована: Май 2, 2024
Язык: Английский
Процитировано
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