Enhancing grid-connected photovoltaic system performance with novel hybrid MPPT technique in variable atmospheric conditions

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 8, 2024

Abstract This paper proposes an innovative approach to improve the performance of grid-connected photovoltaic (PV) systems operating in environments with variable atmospheric conditions. The dynamic nature parameters poses challenges for traditional control methods, leading reduced PV system efficiency and reliability. To address this issue, we introduce a novel integration fuzzy logic sliding mode methodologies. Fuzzy enables effectively handle imprecise uncertain data, allowing decision-making based on qualitative inputs expert knowledge. Sliding control, known its robustness against disturbances uncertainties, ensures stability responsiveness under varying Through these methodologies, our proposed offers comprehensive solution complexities posed by real-world dynamics. We anticipate applications across various geographical locations climates. By harnessing synergistic benefits promises significantly enhance reliability presence On grid side, both PSO (Particle Swarm Optimization) GA (Genetic Algorithm) algorithms were employed tune current controller PI (Proportional-Integral) (inverter control). Simulation results, conducted using MATLAB Simulink, demonstrate effectiveness hybrid MPPT technique optimizing system. exhibits superior tracking efficiency, achieving convergence time 0.06 s 99.86%, less oscillation than classical methods. comparison other techniques highlights advantages approach, including higher faster response times. simulation outcomes are analyzed strategies sides (the array side). Both offer effective methods tuning controller. According considered IEEE standards low-voltage networks, total harmonic distortion values (THD) obtained considerably high (8.33% 10.63%, algorithms, respectively). Comparative analyses terms stability, rapid changes.

Language: Английский

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Enhancing Ethiopian power distribution with novel hybrid renewable energy systems for sustainable reliability and cost efficiency

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: May 10, 2024

Abstract Economic development relies on access to electrical energy, which is crucial for society’s growth. However, power shortages are challenging due non-renewable energy depletion, unregulated use, and a lack of new sources. Ethiopia’s Debre Markos distribution network experiences over 800 h outages annually, causing financial losses resource waste diesel generators (DGs) backup use. To tackle these concerns, the present study suggests hybrid generation system, combines solar biogas resources, integrates Superconducting Magnetic Energy Storage (SMES) Pumped Hydro (PHES) technologies into system. The also thoroughly analyzes current anticipated demand connected using backward/forward sweep load flow analysis method. results indicate that total loss has reached its absolute maximum, voltage profiles networks have dropped below minimal numerical values recommended by Institute Electrical Electronics Engineers (IEEE) standards (i.e., 0.95–1.025 p.u.). After reviewing network’s operation, additional steps were taken improve effectiveness, metaheuristic optimization techniques account various objective functions constraints. In section, it demonstrated whale algorithm (WOA) outperforms other across three important functions: financial, reliability, greenhouse gas (GHG) emissions. This comparison based capability natural selection (NSWOA) achieve best possible four significant metrics: Cost (COE), Net Present (NPC), Loss Power Supply Probability (LPSP), GHG Emissions. NSWOA achieved optimal metrics, namely 0.0812 €/kWh, 3.0017 × 10 6 €, 0.00875, 7.3679 kg reduced, respectively. attributable their thorough economic, environmental evaluation. Finally, forward/backward employed during proposed system’s integration significantly reduced impact resources network. was evident in reduction from 470.78 18.54 kW deviation 6.95 0.35 p.u., as well profile system being swung between 1 1.0234 now comply with set IEEE. Besides, cost emission efficiency existing (grid + DGs) alternative (only scenarios done. findings showed that, among examined, most economical produces least amount

Language: Английский

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Optimization of off-grid hybrid renewable energy systems for cost-effective and reliable power supply in Gaita Selassie Ethiopia

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: May 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.

Language: Английский

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Coordinated power management strategy for reliable hybridization of multi-source systems using hybrid MPPT algorithms

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: May 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.

Language: Английский

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Electric vehicle charging by use of renewable energy technologies: A comprehensive and updated review

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 118, P. 109401 - 109401

Published: June 27, 2024

Language: Английский

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Designing a multi-purpose network of sustainable and closed-loop renewable energy supply chain, considering reliability and circular economy

Applied Energy, Journal Year: 2024, Volume and Issue: 369, P. 123539 - 123539

Published: June 3, 2024

Language: Английский

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Maximizing thermal and electrical efficiency with thermoelectric generators and hybrid photovoltaic converters: Numerical, economic, and machine learning analysis

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 59, P. 104452 - 104452

Published: April 27, 2024

In this paper, we introduce an innovative thermoelectric, photovoltaic hybrid system and investigate its performance under various radiation intensities heat transfer coefficients outside the cavity. Our findings reveal that proposed yields twice power output compared to a traditional plate system. Through economic analysis, project 45% reduction in energy cost with novel structure full Notably, positioning at bottom of cavity, where maximum occurs, is deemed optimal. analysis demonstrates significant increase generation due convection approximately 9% incoming reflected further 59% without Utilizing artificial neural networks, predict thermal electrical generation, achieving Mean Absolute Error (MAE) below 3% R-squared value exceeding 0.98. Additionally, our model's predictions closely match experimental results, validating accuracy practical utility. This comprehensive study advances field by offering design outperforms existing solutions while providing insights into optimizing placement enhancing through sophisticated modeling techniques.

Language: Английский

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Waste-to-energy poly-generation scheme for hydrogen/freshwater/power/oxygen/heating capacity production; optimized by regression machine learning algorithms

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 187, P. 876 - 891

Published: May 3, 2024

Language: Английский

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Modeling of geothermal tailored CCHP system with heat recovery centered thermal design/analysis; ANN-based optimization and economic study

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 59, P. 104511 - 104511

Published: May 11, 2024

This study conducts an evaluation of integrated power, heat, and cooling system reliant on geothermal energy. The process involves integrating both the Organic Rankine Cycle (ORC) Goswami cycle. main objective this investigation is to analyze effects different variables system's operation. Additionally, a comprehensive analysis undertaken examine how presence operational fluids in ORC affects overall efficiency system. Subsequently, in-depth economic conducted, taking into account initial investment for implementation, capital, levelized cost goods. calculation determining income, cash flow, pay-back time, which heavily rely selling prices products. By utilizing genetic algorithm conjunction with artificial intelligence algorithm, can be optimized minimize time energy, while simultaneously maximizing net production power. results optimization are then compared baseline state assess effectiveness proposed enhancements. multifaceted approach enables performance across conditions facilitates its parameters improve feasibility. comparative demonstrated 21% reduction payback 14% increase 12% improvement when reference state. periods operating ranged from 10 15 years. Isobutane shortest period approximately years, was further 8. 6 power output 655. 8 kW, 578. 3 heat 3042 kW.

Language: Английский

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A techno-economic perspective on efficient hybrid renewable energy solutions in Douala, Cameroon’s grid-connected systems

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 12, 2024

Cameroon is currently grappling with a significant energy crisis, which adversely affecting its economy due to cost, reliability, and availability constraints within the power infrastructure. While electrochemical storage presents potential remedy, implementation faces hurdles like high costs technical limitations. Conversely, generator-based systems, although viable alternative, bring their own set of issues such as noise pollution demanding maintenance requirements. This paper meticulously assesses novel hybrid system specifically engineered meet diverse needs Douala, Cameroon. By employing advanced simulation techniques, especially Hybrid Optimization Model for Electric Renewable (HOMER) Pro program, study carefully examines intricacies load demands across distinct consumer categories while accommodating varied pricing models. The offers detailed analysis proposed grid-connected PV/Diesel/Generator system, aiming gauge performance, economic feasibility, reliability in ensuring uninterrupted supply. Notably, unveils cost reduction per kilowatt-hour, indicating promising updated rates $0.07/kW, $0.08/kW, $0.06/kW low, medium, usage groups, respectively. Furthermore, research underscores importance overcoming operational challenges temperature fluctuations, equipment costs, regulatory compliance. It also acknowledges impact nuances grid integration on efficiency. As world progresses towards renewable adoption this investigation lays strong foundation future advancements management strategies. strives create sustainable ecosystem beyond, where systems play pivotal role mitigating deficiencies supporting development.

Language: Английский

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