Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency

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

Опубликована: Янв. 17, 2025

In this paper, a comprehensive energy management framework for microgrids that incorporates price-based demand response programs (DRPs) and leverages an advanced optimization method-Greedy Rat Swarm Optimizer (GRSO) is proposed. The primary objective to minimize the generation cost environmental impact of microgrid systems by effectively scheduling distributed resources (DERs), including renewable sources (RES) such as solar wind, alongside fossil-fuel-based generators. Four distinct models-exponential, hyperbolic, logarithmic, critical peak pricing (CPP)-are developed, each reflecting different price elasticity demand. These models are integrated with flexible matrix assess dynamic consumer fluctuating electricity prices. study evaluates four operational scenarios, focusing on grid participation, DER utilization, real-time (RTP), time use (TOU), strategies. Quantitative results demonstrate significant cost-saving potential integrating DRPs operations. optimal scenario, GRSO achieved minimum 882¥ base load profile. Further, when (CPP) was applied, reduced 746¥, representing 15.4% reduction. For scenario where grid's participation limited, logarithmic-based model decreased 817¥, while full interaction led higher reductions. Additionally, our show reduction in load, factor improvements up 87.7% across studied profiles. Furthermore, limiting upstream power capacity 30 kW resulted 7% increase all cases, confirming importance reducing costs. algorithm outperformed traditional metaheuristics terms both execution convergence, making it viable solution optimization. conclusion, proposed GRSO-based provides efficient approach minimization, achieving costs notable benefits emissions. This highlights strategies sustainable cost-effective management.

Язык: Английский

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Smart buildings: Federated learning-driven secure, transparent and smart energy management system using XAI

Energy Reports, Год журнала: 2025, Номер 13, С. 2066 - 2081

Опубликована: Янв. 30, 2025

Язык: Английский

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The Impact of Integrating Variable Renewable Energy Sources into Grid-Connected Power Systems: Challenges, Mitigation Strategies, and Prospects

Energies, Год журнала: 2025, Номер 18(3), С. 689 - 689

Опубликована: Фев. 2, 2025

Although the impact of integrating solar and wind sources into power system has been studied in past, chaos caused by energy generation not yet had broader mitigation solutions notwithstanding their rapid deployment. Many research efforts using prediction models have developed real-time monitoring variability machine learning predictive algorithms contrast to conventional methods studying variability. This study focused on causes types variability, challenges, strategies used minimize grids worldwide. A summary top ten cases countries that successfully managed electrical presented. Review shows most success embraced advanced storage, grid upgrading, flexible mix as key technological economic strategies. seven-point conceptual framework involving all stakeholders for managing networks increasing variable renewable (VRE)-grid integration proposed. Long-duration virtual plants (VPPs), smart infrastructure, cross-border interconnection, power-to-X, flexibility are takeaways achieving a reliable, resilient, stable grid. review provides useful up-to-date information researchers industries investing energy-intensive

Язык: Английский

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Droop control strategy in inverter‐based microgrids: A brief review on analysis and application in islanded mode of operation

IET Renewable Power Generation, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

Abstract Droop control is at the first level of hierarchy and does not require communication. Having high reliability, usually used in inverter‐based microgrids. The microgrid can operate as an island, it also be connected to main or auxiliary grid. By reviewing extensive literature on role controller microgrids for island mode operation, this study, droop regulation strategy has been covered briefly compactly. example decentralized basic control, its importance revealed operation when possible share power all facilities without needing communicate with other units. Disadvantages common such slow transient dynamics low energy quality non‐linear unbalanced loads, have limited use advanced Therefore, various methods improve investigated so far, some which mentioned. This study highlights application strategies order coordinate distributed generation units microgrid. About 180 published studies field reviewed, classified indexed quick reference.

Язык: Английский

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Transactive Energy Management for Efficient Scheduling and Storage Utilization in a Grid-connected Renewable Energy-based Microgrid

e-Prime - Advances in Electrical Engineering Electronics and Energy, Год журнала: 2025, Номер unknown, С. 100914 - 100914

Опубликована: Янв. 1, 2025

Язык: Английский

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Adaptive neuro-fuzzy inference system for accurate power forecasting for on-grid photovoltaic systems: A case study in Sharjah, UAE

Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100958 - 100958

Опубликована: Март 1, 2025

Язык: Английский

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Energy Demand Forecasting for Hybrid Microgrid Systems Using Machine Learning Models

Proceedings of Engineering and Technology Innovation, Год журнала: 2025, Номер 29, С. 68 - 83

Опубликована: Фев. 10, 2025

This study aims to design energy demand forecasting models for management in hybrid microgrid systems using optimized machine learning techniques. By incorporating temperature, humidity, season, hour of the day, and irradiance, complex relationship between these input parameters yield photovoltaics, generator, grid sources is examined. Five different including linear regression, random forest (RF), support vector artificial neural network, extreme gradient boosting are adopted this study. Evaluation model performance shows that RF best candidate dataset, with a mean-squared error 0.2023, mean absolute 0.0831, root-mean-squared 0.4498, R² score 0.9992. Shapley additive explanations analysis identified key predictors such as hour, irradiation, season while highlighting negative impact humidity day week on demand.

Язык: Английский

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Energy flexibility and management software in building clusters: A comprehensive review

Next Energy, Год журнала: 2025, Номер 8, С. 100250 - 100250

Опубликована: Фев. 17, 2025

Язык: Английский

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Optimizing sustainable energy management in grid connected microgrids using quantum particle swarm optimization for cost and emission reduction

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

Опубликована: Фев. 18, 2025

The global shift towards decentralized energy systems, driven by the integration of distributed generation technologies and renewable sources, underscores critical need for effective management strategies in microgrids. This study proposes a novel multi-objective optimization framework grid-connected microgrids using quantum particle swarm (QPSO) to address dual challenges minimizing operational costs reducing environmental emissions. microgrid configuration analyzed includes sources like photovoltaic panels wind turbines, along with conventional battery storage. By incorporating quantum-inspired mechanics, QPSO overcomes limitations such as premature convergence solution stagnation, often seen traditional methods. Simulation results demonstrate that achieves 9.67% reduction costs, equating savings €158.87, 13.23% carbon emissions, lowering emissions 513.70 kg CO2 equivalent economic scheduling scenario. In environmentally constrained scenario, method delivers balanced €174.11 401.63 CO2. algorithm's performance is validated across various configurations, including standard low-voltage setups. These highlight QPSO's potential an efficient tool optimizing management, promoting both sustainability. provides robust achieving practical solutions real-world applications, emphasizing role advanced techniques sustainable systems.

Язык: Английский

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A Hybrid Demand-Side Policy for Balanced Economic Emission in Microgrid Systems

iScience, Год журнала: 2025, Номер 28(3), С. 112121 - 112121

Опубликована: Фев. 27, 2025

Язык: Английский

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