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Journal articles on the topic 'Renewable Energy Grid Integration'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Pasupuleti, Murali Krishna. "Advancement of Renewable Energy Integration into National Grids." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 04 (2025): 259–66. https://doi.org/10.62311/nesx/rp2125.

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Abstract: The global shift towards renewable energy sources necessitates the modernization of national grids to accommodate variable and decentralized power generation. This paper explores the advancements, challenges, and strategies associated with integrating renewable energy into national grids. It examines technological innovations, policy frameworks, and case studies that highlight successful integration efforts. The study aims to provide a comprehensive understanding of the current landscape and future prospects of renewable energy integration into national power systems. Keywords: Renew

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Ojo, Oluwafemi Tayo, Temitope James Dada, Yusuff Afees Ademola, et al. "Smart Grids And IOT-Enabled Renewable Energy Integration." Path of Science 11, no. 1 (2025): 8012. https://doi.org/10.22178/pos.113-28.

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Over the past decades, the power system has undergone significant transformations. However, it faces multiple challenges, including rising electricity demand, power losses, grid failures, and a lack of innovative technology. Additionally, security threats to the grid have escalated. The existing power grid cannot effectively address these issues. The rapid advancement of the Internet of Things (IoT) has introduced innovative solutions, making it a promising technology for modernising power grids. Integrating IoT into the grid can enhance efficiency, capacity, reliability, sustainability, scala

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Om Ingole, Udayraj Chavan, Janmenjay Chandrawanshi, Soham Kathane, Ujwal Kale, and Jitendra Sawant. "Optimizing Load Balancing through Simulation of Renewable Energy Integration." International Journal of Scientific Research in Science, Engineering and Technology 12, no. 3 (2025): 960–65. https://doi.org/10.32628/ijsrset2512211.

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As the global energy landscape shifts toward renewable sources, integrating variable energy inputs such as solar and wind into existing power grids presents significant challenges for maintaining load balance and grid stability. This study explores the optimization of load balancing through advanced simulation techniques that model the dynamic behavior of renewable energy systems within electrical grids. We develop and evaluate a range of algorithms including predictive scheduling, demand-side management, and battery storage coordination using real-world energy consumption and generation datas

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Fu, G. S., X. Yin, and Y. L. Xu. "Renewable energy integration and distributed energy optimization in smart grid." Journal of Physics: Conference Series 2795, no. 1 (2024): 012004. http://dx.doi.org/10.1088/1742-6596/2795/1/012004.

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Abstract In the context of this study, we leverage a hierarchical deep reinforcement learning algorithm to address challenges in the integration of renewable energy sources within smart grid environments. The primary focus is on enhancing the efficiency of large-scale renewable energy integration while ensuring grid stability and reliability. The algorithm builds on the principles of hierarchical deep reinforcement learning, aiming to optimize energy utilization, reduce operational costs, and decrease reliance on conventional energy sources within the smart grid framework. Rigorous experimenta

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Pasupuleti, Murali Krishna. "Optimal Control Strategies for Renewable Energy Grid Integration." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 06 (2025): 35–44. https://doi.org/10.62311/nesx/rphcrefcs4.

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This study explores optimal control strategies for integrating renewable energy sources into power grids, addressing challenges such as intermittency, grid stability, and demand-supply mismatch. The methodology combines model predictive control, robust optimization, and load forecasting using machine learning algorithms. Data from solar and wind power outputs, along with historical grid demand, were analyzed to build regression and predictive models. The results demonstrate that adaptive control strategies significantly enhance energy efficiency, reduce operational costs, and improve reliabili

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Kumar, Mahendra, and Bhupesh Patra. "Smart Grid Technologies: A Comprehensive Review." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 3 (2020): 2895–99. http://dx.doi.org/10.61841/turcomat.v11i3.14656.

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Smart grid technologies are revolutionizing the energy industry by enhancing grid reliability, improving energy efficiency, and integrating renewable energy sources. This comprehensive review explores the evolution, components, benefits, challenges, and future trends of smart grid technologies. The historical background and key milestones in smart grid development are discussed, along with an analysis of components such as advanced metering infrastructure, demand response technologies, energy storage systems, grid communication technologies, and renewable energy integration. The benefits of sm

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Uthman Opeyemi Abdullahi and Adnan Adnan. "Integration of renewable energy into electric vehicle (EV) charging networks." World Journal of Advanced Engineering Technology and Sciences 13, no. 2 (2024): 156–65. http://dx.doi.org/10.30574/wjaets.2024.13.2.0554.

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As the demand for electric vehicles (EVs) rises globally, the need to power EV charging networks with renewable energy sources has become increasingly important. This article examines how renewable energy, specifically solar and wind, can be integrated into EV charging infrastructure to enhance sustainability and reduce the carbon footprint of electric mobility. We discuss the technical challenges involved, such as the variability of renewable power, energy storage requirements, and grid capacity constraints. Furthermore, we explore strategic opportunities in smart grids, vehicle-to-grid (V2G)

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Pan, Guangsheng, Xi Huang, and Jie Liu. "System Control Strategies for Renewable Energy-Integrating Grids via Voltage Source Converter-Based High-Voltage Direct Current Technology." Actuators 13, no. 12 (2024): 505. https://doi.org/10.3390/act13120505.

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The worldwide promotion of carbon-neutral policies is leading to a continuously growing percentage of electricity being derived from renewable energy, which makes it feasible to design power systems composed of 100% renewable energy in the future. The question of how to realize stable transmission for 100% renewable energy-integrating grids under different operating conditions needs to receive more attention. Voltage source converter-based high-voltage direct current (VSC-HVDC) technology is one of the prospective solutions for large-scale renewable energy integration due to its unique dominan

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Abhishek, Gupta, Agarwal Yash, Pandey Yash, Blandina Miracle D., and Singhal Swati. "Integration of Renewable Energy in Grid." Advancement and Research in Instrumentation Engineering 4, no. 2 (2021): 1–7. https://doi.org/10.5281/zenodo.5167011.

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<em>Renewable energy integration focuses on renewable energy generation, renewable energy production, energy conservation, thermal technology, and demand for response to the distribution and transmission system. The systems approach is used to make integration and demonstration improvements to address technical, economic, regulatory and institutional barriers to the use of renewable and distributed systems. The broad objective of this project is to design, demonstrate and monitor to build integrated renewable energy technologies appropriate for local conditions. Renewable energy technology wil

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Tomar, Anuradha, and Gulshan Shrivastava. "Grid Integration of Renewable Energy Sources." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 1 (2020): 6–7. http://dx.doi.org/10.2174/235209651301200103161419.

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Ojo, Oluwafemi Tayo, Aliu Opeyemi Habeeb, Olubukola Eunice Adebiyi, Samuel Ayanwunmi Olanrewaju, Olawale Johnson Olabode, and Smart Ezekiel Ezekiel. "IoT-Enabled Energy Storage Systems For Renewable Energy Grid Integration." Path of Science 11, no. 3 (2025): 4001. https://doi.org/10.22178/pos.115-10.

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The rapid growth of renewable energy sources, such as solar and wind, has introduced significant challenges to grid reliability due to their intermittent and unpredictable nature. Energy storage systems (ESS) have emerged as a vital solution to balance supply and demand, but their efficiency and scalability depend on real-time monitoring, control, and optimisation. This work explores the role of the Internet of Things IoT-enabled energy storage systems in enhancing the integration of renewable energy into modern power grids. These systems enable dynamic energy management, predictive maintenanc

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Paschal Chinedu Ohiri, Mfonobong Eleazar Benson, Ogomaka Chrysogonus C, and Anyalewechi Chika J. "Impact of renewable energy integration on grid stability: A case study of Nigeria's power system." World Journal of Advanced Engineering Technology and Sciences 14, no. 2 (2025): 199–204. https://doi.org/10.30574/wjaets.2025.14.2.0058.

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The integration of renewable energy sources into existing power grids presents both opportunities and challenges for developing countries. This study investigates the impact of increasing renewable energy penetration on grid stability in Nigeria. Using data from the Nigerian Electricity Regulatory Commission (NERC) and the Transmission Company of Nigeria (TCN), we analyze frequency and voltage fluctuations in relation to renewable energy contribution over a 24-month period. The research employs statistical analysis and power system simulations to assess the correlation between renewable energy

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Avwioroko, Afor, Chinedu Ibegbulam, Israel Afriyie, and Aminat Temitope Fesomade. "Smart Grid Integration of Solar and Biomass Energy Sources." European Journal of Computer Science and Information Technology 12, no. 3 (2024): 1–14. http://dx.doi.org/10.37745/ejcsit.2013/vol12n3114.

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The integration of solar and biomass energy sources into smart grids marks a significant step toward a sustainable and efficient energy future. Smart grids, which can dynamically manage and distribute energy, are essential for incorporating renewable energy sources that are naturally variable and decentralized. This paper details the strategies and technologies necessary for the smooth integration of solar and biomass energy into smart grids. Solar energy, with its intermittent nature, presents unique challenges for grid stability and reliability. Advanced technologies such as solar panels, en

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Salkuti, Surender Reddy. "Sustainable energy technologies for emerging renewable energy and electric vehicles." AIMS Energy 12, no. 6 (2024): 1264–70. https://doi.org/10.3934/energy.2024057.

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<p>Renewable energy and electric vehicles are used globally for reducing fuel dependency and carbon footprints. Here, I explore the complex field of "Sustainable Energy Technologies for Emerging Renewable Energy and Electric Vehicles" and examined the most recent advancements, obstacles, and ideas that are promoting the effective use of renewable energy sources (RESs), energy storage systems (ESSs), and electric vehicles (EVs). I focused on the integration of renewable energy (RE), energy storage (ES), and EVs into modern sustainable power grids. With the recent advances in power generat

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Vicente, Miguel, Alessandra Imperadore, Francisco X. Correia da Fonseca, Mário Vieira, and José Cândido. "Enhancing Islanded Power Systems: Microgrid Modeling and Evaluating System Benefits of Ocean Renewable Energy Integration." Energies 16, no. 22 (2023): 7517. http://dx.doi.org/10.3390/en16227517.

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The energy transition hinges on the effective integration of renewable energy sources into the power grid. Islands can provide invaluable insights into the challenges and opportunities of integrating variable renewable energy into the grid due to their relatively small power systems, isolated grids, and diverse availability of renewable energy resources. This paper presents a study on the system benefits and challenges of marine energy integration in insular power systems, focusing on the Orkney Islands as a case study. A microgrid modeling approach that optimizes the mix of renewable sources

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Nwankwo Charles Uzondu and Dominic Dummene Lele. "Comprehensive analysis of integrating smart grids with renewable energy sources: Technological advancements, economic impacts, and policy frameworks." Engineering Science & Technology Journal 5, no. 7 (2024): 2334–63. http://dx.doi.org/10.51594/estj.v5i7.1347.

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This study presents a comprehensive analysis of integrating smart grids with renewable energy sources, focusing on technological advancements, economic impacts, and policy frameworks. The primary objective is to explore how smart grid technologies can efficiently incorporate renewable energy sources, thereby enhancing grid reliability, efficiency, and sustainability. Utilizing a multidisciplinary approach, the study examines successful case studies, pilot projects, and innovative practices that highlight the potential and challenges of this integration. Key findings reveal that advanced techno

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Aly, Wael Hosny Fouad, Kassem Danach, and Hassan Kanj. "Machine Learning for Smart Grid Stability: Enhancing Reliability in Renewable Energy Integration." European Journal of Pure and Applied Mathematics 18, no. 2 (2025): 5953. https://doi.org/10.29020/nybg.ejpam.v18i2.5953.

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The integration of renewable energy sources into modern power grids introduces significant challenges to maintaining grid stability due to the inherent variability and unpredictability of these energy sources. This study explores the application of machine learning techniques to predict and enhance smart grid stability, focusing on scenarios involving renewable energy integration. Using the Electrical Grid Stability Simulated Dataset, we develop and evaluate predictive models that classify grid states as stable or unstable, analyze the impact of renewable energy inputs, and identify key factor

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Zafar, S., K. Nawaz, S. A. R. Naqvi, and T. N. Malik. "INTEGRATION OF RENEWABLE ENERGY SOURCES IN SMART GRID: A REVIEW." Nucleus 50, no. 4 (2013): 311–27. https://doi.org/10.71330/thenucleus.2013.735.

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The increasing complexity of the existing power grid due to rapid population growth, development in technology, infrastructure and computational tools are the factors that contribute to the need of deployment of smart grid for secure and efficient use of electrical energy.The modernization of electric grids toward a smart grid is being carried out to improve reliability, facilitate integration of renewable energies, and improve power consumption management.Due to continuous depletion of primary fuel resources and global concern about the environmental pollution, the development of smart grids

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Salma, Benchikh, Jarou Tarik, and Lamrani Roa. "Enhancing renewable energy systems with advanced artificial intelligence solutions." SCT Proceedings in Interdisciplinary Insights and Innovations 2 (May 27, 2024): 319. http://dx.doi.org/10.56294/piii2024319.

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As the global community increasingly prioritizes sustainability, the transition to renewable energy sources becomes paramount. However, the integration of renewables, such as solar and wind power, into existing energy infrastructures faces significant challenges due to their inherent variability and intermittency. Despite these obstacles, artificial intelligence (AI) offers a transformative solution. This article explores the multifaceted role of AI in addressing the complexities of renewable energy integration. From predictive analytics to optimize renewable energy generation to smart grid te

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Stephanie, Friedrich, and Louisa Karl. "Incorporating Renewable Energy Systems for a New Era of Grid Stability." Fusion of Multidisciplinary Research, An International Journal 1, no. 01 (2020): 37–49. https://doi.org/10.63995/uvpr3703.

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Incorporating renewable energy systems is essential for enhancing grid stability and fostering a sustainable energy future. The increasing integration of solar, wind, and other renewable energy sources into power grids addresses the urgent need to reduce greenhouse gas emissions and mitigate climate change. However, the intermittent and variable nature of renewable energy poses significant challenges to grid stability, reliability, and efficiency. Advanced technologies and innovative strategies are critical to managing these challenges. Energy storage systems, such as batteries and pumped hydr

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Mujtahida, Fikarul, Rahmania Putri Ramadhani, Prisma Megantoro, Mohammed Mareai, and Muhammad Akbar Syahbani. "Analysis of Hybrid Energy Modelling (Grid and Inverter Based Resources) Using Grid Following Inverter for the Integration of Renewable Energy Generation." Journal of Advanced Technology and Multidiscipline 3, no. 2 (2024): 37–43. https://doi.org/10.20473/jatm.v3i2.63345.

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The energy dependency of the grid will cause its own problems because the energy generated comes from fossil fuels. On the other hand, centralized electrification using renewable energy has a high risk on frequency and voltage stability. Renewable energy depends entirely on climate conditions and has no inertia to maintain stability. Hybrid energy between grids and Inverter Based Resources (IBRs) are alternative solutions used. The research applies an inverter control scheme to IBRs to be penetrated the grid. The research will apply a zero-export load with electricity requirements to be charge

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Rajendran, Gowthamraj, Reiko Raute, and Cedric Caruana. "A Comprehensive Review of Solar PV Integration with Smart-Grids: Challenges, Standards, and Grid Codes." Energies 18, no. 9 (2025): 2221. https://doi.org/10.3390/en18092221.

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Promoting a sustainable and low-carbon energy future through the integration of renewable energy is essential, yet it presents significant challenges due to the intermittent nature of resources such as solar and wind. This paper examines the technological and economic dimensions of AC, DC, and smart grids, concentrating on the optimization of costs, efficiency, stability, and scalability. Smart grids, enhanced by AI, IoT, and blockchain technologies, play a vital role in energy management optimization, predictive maintenance, and secure energy transactions. Furthermore, the incorporation of re

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Ugwuanyi, Nnaemeka, Innocent Ozioko, Uma Uma, et al. "Enhancing Renewable Energy-Grid Integration by Optimally Placed FACTS Devices: The Nigeria Case Study." Science Journal of Energy Engineering 12, no. 2 (2024): 16–25. http://dx.doi.org/10.11648/j.sjee.20241202.11.

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Integrating renewable energy sources into existing power grids presents considerable challenges, especially with the intermittency of wind and solar power. This issue is particularly acute in developing countries like Nigeria, where grid infrastructure is often weak, significantly limiting the potential for RE penetration. This study explores strategies to enhance RE integration in Nigeria by employing Flexible Alternating Current Transmission System (FACTS) devices. By leveraging the reactive-power sensitivity index through modal analysis, the optimal location for the FACTS device can be dete

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Kirchsteiger, Harald, and Sarah Landl. "Avoiding PV-Induced Overvoltage through Grid-Connected Batteries Using Model Predictive Control." Environmental and Climate Technologies 27, no. 1 (2023): 711–23. http://dx.doi.org/10.2478/rtuect-2023-0052.

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Abstract The problem of temporary overvoltage when integrating large renewable power plants into the existing grid is considered. A grid-connected battery energy storage system with an advanced predictive control algorithm is proposed to reduce the overvoltage in time periods of excessive renewable production. An approximative grid model is developed using system identification methods on regular operation data. A model predictive control algorithm utilizing predictions of load and generation determines the optimal operation strategy of the battery. A comparison in simulation between a referen

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Patchamuthu, Karunakaran. "Smart Grid Energy Reduction and QoS Maximization through Renewable Energy and Data Buffering." Journal of Electrical Engineering and Automation 6, no. 3 (2024): 234–47. http://dx.doi.org/10.36548/jeea.2024.3.004.

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The integration of renewable energy sources and advanced data management strategies is pivotal for the evolution of smart grids. This research focuses on optimizing energy consumption and enhancing Quality of Service (QoS) in smart grids by leveraging renewable energy and implementing data buffering techniques. The proposed data buffering integrated renewable smart grid framework reduces the dependance on conventional energy sources, minimizes energy costs, and improves service consistency. Through a detailed analysis and experimental validation, the proposed study demonstrates significant imp

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Pasupuleti, Murali Krishna. "Grid Integration of Intermittent Renewables Using AI-Powered Forecasting Models." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 06 (2025): 492–506. https://doi.org/10.62311/nesx/rphcrcsesre5.

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Abstract: As the global energy transition accelerates, the integration of intermittent renewable energy sources—particularly solar and wind—into power grids presents major challenges due to their variability and unpredictability. This study evaluates the effectiveness of artificial intelligence (AI)-powered forecasting models in enhancing grid reliability and balancing operations. A comparative analysis was conducted using long short-term memory (LSTM) networks, gradient boosting regressors (GBR), and support vector machines (SVM) trained on multi-source meteorological and generation data. Res

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Tolasa, Diriba. "Neural Network Based Micro-grid Integration of Hybrid PV and Wind Energy." American Journal of Electrical Power and Energy Systems 14, no. 2 (2025): 20–27. https://doi.org/10.11648/j.epes.20251402.11.

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The increasing demand for sustainable energy solutions has prompted significant interest in the integration of renewable energy sources into micro-grids. This paper presents a novel approach utilizing neural networks for the effective integration of hybrid photovoltaic (PV) and wind energy systems within micro-grids. The proposed framework addresses the inherent intermittency and variability associated with renewable energy sources, which can challenge grid stability and reliability. In recent years, there has been a growing recognition of the potential of neural networks to model complex non-

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Rawat, Arun Kumar, Subhash Chandra, and Vinay Kumar Deolia. "Optimal Energy Sharing in Hybrid Microgrid System Using Battery Energy Storage." IOP Conference Series: Earth and Environmental Science 1285, no. 1 (2024): 012031. http://dx.doi.org/10.1088/1755-1315/1285/1/012031.

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Abstract A smart micro grid technology application facilitates the integration of renewable energy and increase its penetration. A smart grid is an electrical network which is built on advanced technology that uses dual-way digital communication to transmit electricity to buyers. The smart grid was created with the aim of using smart meters to overcome the problems faced by traditional grids. Microgrids allow for the integration of multiple renewable energy sources at different levels, improving the power system’s reliability, sustainability and efficiency. Remote places, spacecraft and mariti

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Bhandari, Khem Raj, and Narayan Prasad Adhikari. "Grid Integration of Solar and Solar/Wind Hybrid Mini-Grid Projects: A Case of Solar/Wind Hybrid Mini-Grid Project Implemented by AEPC." Journal of the Institute of Engineering 15, no. 3 (2020): 42–48. http://dx.doi.org/10.3126/jie.v15i3.32004.

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Alternative Energy Promotion Center (AEPC) has been scaling up renewable energy technologies through Mini-grid power supply in Nepal’s off-grid areas in order to fulfill community electricity demands for both households and electricity-based enterprises. It is likely that, in some of the off-grid renewable energy (RE) mini-grid service areas, Nepal Electricity Authority (NEA) grid line might reach in near future. The objective of this study is to highlight success stories of solar and solar/wind mini-grids implemented by AEPC and for their longer-term sustainable operation grid integration pol

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Satyaveda, Somepalli. "Electric Vehicle Integration: Challenges and Opportunities for Utility Providers." European Journal of Advances in Engineering and Technology 9, no. 10 (2022): 86–90. https://doi.org/10.5281/zenodo.14770528.

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The rapid adoption of electric vehicles (EVs) is reshaping global transportation and placing significant demand on energy systems. Utility providers face technical, economic, and regulatory challenges when integrating EVs into existing grids, such as grid load management, infrastructure upgrades, and policy compliance. However, these challenges present unique opportunities, including increased electricity demand, the implementation of Vehicle-to-Grid (V2G) technologies, and enhanced renewable energy integration. This paper explores the current state of EV adoption, evaluates technical and econ

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Nirmal, Swati, and Tanu Rizvi. "A Review of Renewable Energy Systems for Industrial Applications." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (2022): 1740–45. http://dx.doi.org/10.22214/ijraset.2022.46903.

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Abstract: Integrated renewable energy systems have numerous advantages and benefits compared to conventional energy systems, such as decentralized energy production, environmental impact reduction, and better energy security. Renewable energy systems can be classified under various categories: solar, wind, hydroelectric, biomass, geothermal, and ocean. The integration of these renewable energy resources can bring sustainable solutions and multiple products. The case studies signify the potential integration options of renewable energy systems including energy storage. Non-conventional renewabl

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Zaheb, Hameedullah, Mikaeel Ahmadi, Nisar Ahmad Rahmany, Mir Sayed Shah Danish, Habibullah Fedayi, and Atsushi Yona. "Optimal Grid Flexibility Assessment for Integration of Variable Renewable-Based Electricity Generation." Sustainability 15, no. 20 (2023): 15032. http://dx.doi.org/10.3390/su152015032.

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This study delves into power system flexibility, with a keen focus on the integration of variable renewable electricity generation into power grids. Two scenarios were analyzed. The base scenario revealed an aging grid, insufficient generation capacity, frequent outages, and little renewable energy generation (1.9%), along with a significant (71.23%) loss of load. In contrast, the investment scenario presented solutions including raising VRE capacity to 44%, adding 1000 MW capacity transmission lines, installing 200 MW capacity grid-scale battery storage, and technological enhancements. These

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Huang, Yu Wen, Noah Kittner, and Daniel M. Kammen. "ASEAN grid flexibility: Preparedness for grid integration of renewable energy." Energy Policy 128 (May 2019): 711–26. http://dx.doi.org/10.1016/j.enpol.2019.01.025.

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Ali, Md Shopan, Anik Sharma, Tamal Ahammed Joy, and Md Abdul Halim. "A Comprehensive Review of Integrated Energy Management for Future Smart Energy System." Control Systems and Optimization Letters 2, no. 1 (2024): 43–51. http://dx.doi.org/10.59247/csol.v2i1.77.

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The main objective of this paper is to review the integration of energy management for future smart energy systems. The authors hope to address the developing landscape of energy management in the context of new smart energy systems in this review. The paper conducts a thorough review of integrated energy management methodologies that maximize energy generation, consumption, and distribution within these systems. The study assesses the multifarious solutions that enable effective and sustainable energy consumption by considering many components such as renewable energy sources, storage technol

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Journal, of Global Research in Multidisciplinary Studies(JGRMS). "The Role of Smart Grids in Enabling Large-Scale Integration of Renewable Energy: A Review." Journal of Global Research in Multidisciplinary Studies(JGRMS) 01, no. 03 (2025): 01–07. https://doi.org/10.5281/zenodo.15245299.

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The increasing reliance on sustainable renewable streams sources like sun and ultraviolet electricity, a lot of problems regarding grid stability, reliability, and efficient energy distribution have been created. Modern power networks can now seamlessly integrate large-scale renewable energy sources, thanks to smart grids, which have emerged as gamechanging technologies. In order to address the issues brought on by obtainable from renewable resources' sporadic nature, this paper critically examines smart grid solutions like demand responses and the Innov

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Ibrahim Barrie, Chijioke Paul Agupugo, Happy Omoze Iguare, and Abisade Folarin. "Leveraging machine learning to optimize renewable energy integration in developing economies." Global Journal of Engineering and Technology Advances 20, no. 3 (2024): 080–93. http://dx.doi.org/10.30574/gjeta.2024.20.3.0170.

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The integration of renewable energy sources into power grids is a critical challenge for developing economies, where infrastructure limitations, unpredictable energy demand, and policy gaps hinder effective energy transitions. Machine learning (ML) offers transformative potential in addressing these challenges, enabling more efficient and reliable energy systems through advanced data analytics, predictive modeling, and real-time decision-making. This review explores how ML can optimize renewable energy integration by improving forecasting accuracy, enhancing grid stability, and optimizing reso

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Ibrahim, Barrie, Paul Agupugo Chijioke, Omoze Iguare Happy, and Folarin Abisade. "Leveraging machine learning to optimize renewable energy integration in developing economies." Global Journal of Engineering and Technology Advances 20, no. 3 (2024): 080–93. https://doi.org/10.5281/zenodo.14921953.

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The integration of renewable energy sources into power grids is a critical challenge for developing economies, where infrastructure limitations, unpredictable energy demand, and policy gaps hinder effective energy transitions. Machine learning (ML) offers transformative potential in addressing these challenges, enabling more efficient and reliable energy systems through advanced data analytics, predictive modeling, and real-time decision-making. This review explores how ML can optimize renewable energy integration by improving forecasting accuracy, enhancing grid stability, and optimizing reso

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Karnilius, Gideon Fwah, John Ibanga Isaac, and Rabiu Falama. "Smart Grid Technologies: Advancements and Applications in Nigeria." Journal of Multidisciplinary Science: MIKAILALSYS 2, no. 3 (2024): 359–70. http://dx.doi.org/10.58578/mikailalsys.v2i3.3777.

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This study explores the impact of smart grid technologies on the modernization of power grids in response to evolving energy demands and the integration of renewable energy sources in Nigeria. It aims to empirically assess advancements in smart grid technologies, focusing on four key objectives: eval_uating the impact of smart meters on energy consumption and peak demand reduction, analyzing the effectiveness of Advanced Distribution Management Systems (ADMS) in enhancing grid reliability and efficiency, assessing the role of demand response programs in balancing supply and demand, and examini

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Vassunova, Yuliya Yu. "SMART GRIDS OPTIMIZATION WITH RENEWABLE ENERGY SOURCES INTEGRATION." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 9/6, no. 150 (2024): 146–56. http://dx.doi.org/10.36871/ek.up.p.r.2024.09.06.017.

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The article considers the issues of smart grid optimization with renewable energy sources (RES) integration. Particular attention is paid to solving problems associated with the instability of RES generation and the need to ensure the reliability of the power system. Various approaches to demand management, the use of energy storage systems and distributed energy resources are analyzed. The challenges of cybersecurity and grid sustainability in the context of RES integration are considered. The article also provides case studies and simulation results demonstrating the effectiveness of the pro

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Burak, Ahmed, and Demir Eldar. "Sustainable Power Solutions: Renewable Energy & Storage Advancements." Journal of Science & Technology 4, no. 6 (2024): 13–34. http://dx.doi.org/10.55662/jst.2023.4602.

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The pursuit of sustainable power solutions has become imperative in the face of global environmental challenges and the growing energy demand. This abstract explores the advancements in renewable energy and energy storage technologies, aiming to create a comprehensive understanding of their role in achieving a sustainable future. Renewable energy sources, such as solar, wind, hydro, geothermal, and biomass, have gained significant traction due to their abundance, low environmental impact, and decreasing costs. Breakthroughs in photovoltaic technology have increased solar energy efficiency, mak

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Sharma, Gazal, V. Vijayarama Raju, Himanshu Dhall, Prerak Sudan, B. Reddy, and Irina Alpackaya. "Fuzzy Logic-Based Energy Management in Smart Grids for Renewable Integration." E3S Web of Conferences 511 (2024): 01013. http://dx.doi.org/10.1051/e3sconf/202451101013.

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This study presents a novel Fuzzy Logic-Based Energy Management model that aims to optimize the incorporation of renewable energy sources into smart grids. The research used simulated data to evaluate the model’s performance in important metrics, revealing significant improvements in the consumption of renewable energy, stability of the grid, dependability of energy storage, and overall efficiency of the system. The Fuzzy Logic Controller adjusts energy distribution in response to current inputs, leading to a significant 20% improvement in the usage of renewable energy. The capacity to adapt i

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Usanova, Kseniia Iurevna, Davu Srinivasa Rao, Sakshi Pandey, Prabhat Sharma, Rajesh Deorari, and Anjali Vyas. "Fuzzy Logic-Based Energy Management in Sustainable management for Renewable Integration." E3S Web of Conferences 537 (2024): 08003. http://dx.doi.org/10.1051/e3sconf/202453708003.

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This study presents a novel Fuzzy Logic-Based Energy Management model that aims to optimize the incorporation of renewable energy sources into smart grids. The research used simulated data to evaluate the model's performance in important metrics, revealing significant improvements in the consumption of renewable energy, stability of the grid, dependability of energy storage, and overall efficiency of the system. The Fuzzy Logic Controller adjusts energy distribution in response to current inputs, leading to a significant 20% improvement in the usage of renewable energy. The capacity to adapt i

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Michael Ibukun Kolawole and Busayo Leah Ayodele. "Smart electronics in solar-powered grid systems for enhanced renewable energy efficiency and reliability." International Journal of Science and Research Archive 13, no. 2 (2024): 2910–30. https://doi.org/10.30574/ijsra.2024.13.2.2512.

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Harnessing solar energy for grid electricity management has become a global imperative in the pursuit of sustainable energy solutions. Advanced electronics, including smart inverters, IoT-enabled sensors, and intelligent monitoring systems, are revolutionizing how solar energy is integrated into power grids. These technologies enable efficient energy storage, dynamic load balancing, and seamless distribution, addressing the variability of solar power and ensuring grid stability. By adopting innovative strategies, solar energy integration enhances overall grid efficiency, minimizes energy losse

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Deming, Chunhua, Prasanna Pasam, Abhishekar Reddy Allam, Rahimoddin Mohammed, SSMLG Gudimetla Naga Venkata, and Kanaka Rakesh Varma Kothapalli. "Real-Time Scheduling for Energy Optimization: Smart Grid Integration with Renewable Energy." Asia Pacific Journal of Energy and Environment 8, no. 2 (2021): 77–88. http://dx.doi.org/10.18034/apjee.v8i2.762.

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This research investigates the scheduling of tasks in real-time to optimize energy use in the context of integrating renewable energy sources into the smart grid. The primary goals are to analyze the influence of fluctuations in renewable energy on grid synchronization, evaluate the efficiency of different optimization methods, and identify significant obstacles and corresponding remedies. Secondary data studies advanced forecasting methods, energy storage systems, and optimization techniques, including Linear Programming (LP), Dynamic Programming (DP), and metaheuristics. The significant find

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Victor Ogunyemi, Oladotun, Ibrahim Adeiza Ahmed, and Omotosho Abdulqudus Ajibola. "Innovative Systems for Renewable Energy Integration: Harnessing AI, Blockchain, and Hybrid Technologies – A Review." International Journal of Research and Scientific Innovation XI, no. X (2024): 603–34. http://dx.doi.org/10.51244/ijrsi.2024.1110052.

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The transition to renewable energy systems is critical for addressing global energy security, reducing greenhouse gas emissions, and mitigating climate change. However, the integration of renewable energy sources such as wind, solar, and hydropower into traditional power grids presents a range of technical, operational, and policy challenges. This review explores innovative systems and technologies developed to support the large-scale integration of renewable energy, focusing on smart grids, energy storage solutions, demand-side management, and decentralized energy systems. Additionally, sever

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Joddumahanthi, Vijaychandra, Łukasz Knypiński, Yatindra Gopal, and Kacper Kasprzak. "Review of Power Electronics Technologies in the Integration of Renewable Energy Systems." Applied Sciences 15, no. 8 (2025): 4523. https://doi.org/10.3390/app15084523.

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Power electronics (PE) technology has become integral across various applications, playing a vital role in sectors worldwide. The integration of renewable energy (RE) into modern power grids requires highly efficient and reliable power conversion systems, especially with the increasing demand for grid controllability and flexibility. Advanced control and information technologies have established power electronics converters as essential enablers of large-scale RE generation. However, their widespread use has introduced challenges to conventional power grids, including reduced system inertia an

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Kindjock, J.J., H.N. Amadi, and O.N. Igbogidi. "Analysis and Simulation of Smart Energy System Planning and Operation." Journal of Research and Advancement in Electrical Engineering 7, no. 2 (2024): 15–22. https://doi.org/10.5281/zenodo.11096997.

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<em>This research tackles Nigeria's antiquated grid limitations through a multi-pronged smart grid modernization strategy emphasizing renewable integration, analytics and automation. Smart grids converge conventional infrastructure with advanced communications networks and information systems to enable intelligent monitoring, control and optimization. However, Nigeria's current grid suffers from delayed maintenance, outdated equipment, inadequate supply and systemic corruption. A modernized smart grid would facilitate large-scale adoption of sustainable generation like solar, wind, and fuel ce

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Iweh, Chu Donatus, Samuel Gyamfi, Emmanuel Tanyi, and Eric Effah-Donyina. "Distributed Generation and Renewable Energy Integration into the Grid: Prerequisites, Push Factors, Practical Options, Issues and Merits." Energies 14, no. 17 (2021): 5375. http://dx.doi.org/10.3390/en14175375.

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Power system operators are in search of proven solutions to improve the penetration levels of distributed generators (DGs) in the grid while minimizing cost. This transition is driven, among others, by global climate concerns, the growing power demand, the need for greater flexibility, the ageing grid infrastructure and the need to diversify sources of energy production. Distributed renewables would not easily substitute the conventional electric grid system, perhaps because the latter is a well-established technology and it would not be prudent to abandon it, while the new distributed renewab

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Minali, Patel, Blandina Miracle D., Sirohi Priyanshi, and Jaiswal Hariom. "Integration of Renewable Energy into a Smart Grid." Journal of Recent Trends in Electrical Power System 5, no. 1 (2022): 1–12. https://doi.org/10.5281/zenodo.6646163.

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<em>The key to making optimum use of distributed energy resources is by using smart grid technology. Renewable energy sources are a source of energy that is clean, limitless and becoming increasingly competitive. They differ from fossil fuels primarily in their diversity, abundance, and ability to be used anywhere on the earth, but most importantly, they do not emit greenhouse gases or damaging emissions. However, in order to attain commercialization and widespread adoption, the system's energy management strategy must be addressed. The study of renewable energy integration in smart grid s

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Researcher. "ENGINEERING THE FUTURE OF GREEN ENERGY: AI-POWERED INTEGRATION FOR OPTIMAL RESOURCE MANAGEMENT." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 1638–49. https://doi.org/10.5281/zenodo.14243714.

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Integrating artificial intelligence in renewable energy management represents a significant advancement in grid optimization and resource utilization. This article comprehensively analyzes a cloud-based system implementation that leverages real-time data integration and machine learning algorithms to optimize renewable energy distribution across multiple sources. The deployed system substantially improves energy distribution efficiency and resource utilization through predictive analytics and automated load balancing. By incorporating real-time weather pattern analysis and demand forecast

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