A review of hybrid renewable energy systems: Solar and wind-powered solutions: Challenges, opportunities, and policy implications

Results in Engineering, Journal Year: 2023, Volume and Issue: 20, P. 101621 - 101621

Published: Nov. 23, 2023

The review comprehensively examines hybrid renewable energy systems that combine solar and wind technologies, focusing on their current challenges, opportunities, policy implications. Despite the individual merits of systems, intermittent nature geographical limitations have spurred interest in solutions maximize efficiency reliability through integrated systems. A critical analysis available literature indicates significantly mitigate intermittency issues, enhance grid stability, can be more cost-effective due to shared infrastructure. identifies key such as system optimization, storage, seamless power management, discusses technological innovations like machine learning algorithms advanced inverters hold potential for overcoming these hurdles. Importantly, elucidates role accelerating adoption by highlighting successful case studies government incentives, public-private partnerships, regulatory frameworks fostered investments study concludes with outcomes obtained signify not only meet but exceed future demands sustainably, provided there is concerted effort research, investment, policy-making.

Language: Английский

---

Machine Learning and Deep Learning in Energy Systems: A Review

Sustainability, Journal Year: 2022, Volume and Issue: 14(8), P. 4832 - 4832

Published: April 18, 2022

With population increases and a vital need for energy, energy systems play an important decisive role in all of the sectors society. To accelerate process improve methods responding to this increase demand, use models algorithms based on artificial intelligence has become common mandatory. In present study, comprehensive detailed study been conducted applications Machine Learning (ML) Deep (DL), which are newest most practical Artificial Intelligence (AI) systems. It should be noted that due development DL algorithms, usually more accurate less error, these ability model solve complex problems field. article, we have tried examine very powerful problem solving but received attention other studies, such as RNN, ANFIS, RBN, DBN, WNN, so on. This research uses knowledge discovery databases understand ML systems’ current status future. Subsequently, critical areas gaps identified. addition, covers efficient used field; optimization, forecasting, fault detection, investigated. Attempts also made cover their evaluation metrics, including not only important, newer ones attention.

Language: Английский

---

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques

Energies, Journal Year: 2022, Volume and Issue: 15(2), P. 578 - 578

Published: Jan. 14, 2022

Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. Computational Intelligence (CI) techniques have been recognized as effective in generating and optimizing tools. The complexity of this variety energy depends on its coverage large sizes data parameters, which be investigated thoroughly. This paper covered the most resent important researchers domain problems using methods. Various types Deep Learning (DL) Machine (ML) algorithms employed Solar Wind supplies given. performance given literature is assessed by new taxonomy. focus conducting comprehensive state-of-the-art heading evaluation discusses vital difficulties possibilities extensive research. Based results, variations efficiency, robustness, accuracy values, generalization capability obvious learning techniques. In case big dataset, effectiveness significantly better than other computational However, applying producing hybrid with optimization develop optimize construction optionally indicated. all cases, achievement single method due fact that gain benefit two or more providing an accurate forecast. Therefore, it suggested utilize future deal generation problems.

Language: Английский

---

Hybrid energy system integration and management for solar energy: A review

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 21, P. 100527 - 100527

Published: Jan. 1, 2024

The conventional grid is increasingly integrating renewable energy sources like solar to lower carbon emissions and other greenhouse gases. While management systems support integration by balancing power supply with demand, they are usually either predictive or real-time therefore unable utilise the full array of demand responses, limiting sources. This limitation overcome an integrated system. review examines various concepts related system such as configurations it operates in, types side responses. These approaches particularly relevant for that rely heavily on have constraints costs. Building from there, a comprehensive overview current research progress regarding development frameworks, both capabilities, provided. potential benefits integrates forecasting, demand-side management, supply-side explored. Furthermore, design considerations proposed creating forecasting models. findings this inform ongoing studies implementation system, their effect systems.

Language: Английский

---

Thermal fault prognosis of lithium-ion batteries in real-world electric vehicles using self-attention mechanism networks

Applied Thermal Engineering, Journal Year: 2023, Volume and Issue: 226, P. 120304 - 120304

Published: March 3, 2023

Language: Английский

---

A review of the applications of artificial intelligence in renewable energy systems: An approach-based study

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 306, P. 118207 - 118207

Published: March 16, 2024

Language: Английский

---

Machine learning for battery systems applications: Progress, challenges, and opportunities

Journal of Power Sources, Journal Year: 2024, Volume and Issue: 601, P. 234272 - 234272

Published: March 7, 2024

Language: Английский

---

A review on battery energy storage systems: Applications, developments, and research trends of hybrid installations in the end-user sector

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 86, P. 111192 - 111192

Published: March 16, 2024

The sharp and continuous deployment of intermittent Renewable Energy Sources (RES) especially Photovoltaics (PVs) poses serious challenges on modern power systems. Battery Storage Systems (BESS) are seen as a promising technology to tackle the arising technical bottlenecks, gathering significant attention in recent years. Particularly, they gaining increasing interest context hybrid PV-BESS installations, enabling various benefits for both residential non-residential end-users. aim this work is provide detailed overview BESS-related aspects, focusing applications, developments, research trends installations end-user sector. To extent, an explicit provided, Distributed Resource, while description their available configurations, presented. Additionally, beneficial effect BESS controllable RES integration importance Flexibility through Demand Side Management (DSM) also extensively discussed, along with operation within DSM framework. considered key further exploitation due specific characteristics. Moreover, main dimensions identified topics receiving substantial current literature. Notably, noteworthy amount papers examined, categorised into four topics, namely Techno-economic Analysis, Operational Control, System Sizing, Response, consisting diverse subjects. Finally, each paper provided scope thoroughly examining most important perspectives existing literature, identifying any possible gaps, providing remarks future directions.

Language: Английский

---

Modelling of a multi-stage energy management control routine for energy demand forecasting, flexibility, and optimization of smart communities using a Recurrent Neural Network

Energy Conversion and Management, Journal Year: 2022, Volume and Issue: 268, P. 115995 - 115995

Published: Aug. 10, 2022

Language: Английский

---

Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System

Energies, Journal Year: 2021, Volume and Issue: 14(16), P. 4849 - 4849

Published: Aug. 9, 2021

The problem of electrical power delivery is a common problem, especially in remote areas where networks are difficult to reach. One the ways that used overcome this use separated from system through which it possible supply energy areas. These called standalone microgrid systems. In paper, micro-grid consisting Photovoltaic (PV) and Wind Energy Conversion System (WECS) based Permanent Magnet Synchronous Generator (PMSG) being designed controlled. Fuzzy logic-based Maximum Power Point Tracking (MPPT) applied boost converter control extract maximum available for PV system. deliver required specific load, all scenarios. excess generated by panel charge batteries when exceeds load. When electricity panels insufficient meet load’s demands, extra extracted charged batteries. addition, controller protects battery banks conditions, including normal, overcharging, overdischarging conditions. should handle each case correctly. Under normal operation conditions (20% < State Charge (SOC) 80%), functions as expected, regardless battery’s state charge. SOC reaches 80%, command delivered, shuts off wind turbine. turbine cannot be connected until falls below safe margin value 75% controller. goes 20%, other commands sent out turn inverter disconnect loads. turned again suitable value.

Language: Английский

---