Micro-Grid Management Strategy with the Integration of Renewable Energy Using IoT

Nayanatara, C.; S, Divya; Mahalakshmi, E.K.

doi:10.1109/iccpeic.2018.8525205

Cited by 20 publications

(8 citation statements)

References 6 publications

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“…In microgrids, IoT technologies are introduced mainly to realize a smart system able to autonomously schedule loads and/or detect system faults and then improving the efficiency of the energy consumption. The work ( Nayanatara et al., 2018 ) proposes a renewable energy based microgrid management strategy to use renewable energy (solar energy from a photovoltaic panel and wind energy from a wind turbine) effectively reducing the energy usage from the power grid. IoT technologies are used to realizing a smart scheduling algorithm able to control schedulable loads as per the needs of the consumer.…”

Section: Iot Technologies In Sustainable Energy and Environmentmentioning

confidence: 99%

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Nižetić

Šolić

López-de-Ipiña

et al. 2020

Journal of Cleaner Production

570

165

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The rapid development and implementation of smart and IoT (Internet of Things) based technologies have allowed for various possibilities in technological advancements for different aspects of life. The main goal of IoT technologies is to simplify processes in different fields, to ensure a better efficiency of systems (technologies or specific processes) and finally to improve life quality. Sustainability has become a key issue for population where the dynamic development of IoT technologies is bringing different useful benefits, but this fast development must be carefully monitored and evaluated from an environmental point of view to limit the presence of harmful impacts and ensure the smart utilization of limited global resources. Significant research efforts are needed in the previous sense to carefully investigate the pros and cons of IoT technologies. This review editorial is partially directed on the research contributions presented at the 4th International Conference on Smart and Sustainable Technologies held in Split and Bol, Croatia, in 2019 (SpliTech 2019) as well as on recent findings from literature. The SpliTech2019 conference was a valuable event that successfully linked different engineering professions, industrial experts and finally researchers from academia. The focus of the conference was directed towards key conference tracks such as Smart City, Energy/Environment, e-Health and Engineering Modelling. The research presented and discussed at the SpliTech2019 conference helped to understand the complex and intertwined effects of IoT technologies on societies and their potential effects on sustainability in general. Various application areas of IoT technologies were discussed as well as the progress made. Four main topical areas were discussed in the herein editorial, i.e. latest advancements in the further fields: (i) IoT technologies in Sustainable Energy and Environment, (ii) IoT enabled Smart City, (iii) E-health – Ambient assisted living systems (iv) IoT technologies in Transportation and Low Carbon Products. The main outcomes of the review introductory article contributed to the better understanding of current technological progress in IoT application areas as well as the environmental implications linked with the increased application of IoT products.

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Section: Iot Technologies In Sustainable Energy and Environmentmentioning

confidence: 99%

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Nižetić

Šolić

López-de-Ipiña

et al. 2020

Journal of Cleaner Production

570

165

View full text Add to dashboard Cite

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“…Zero-energy IoT has the potential to revolutionize the IoT industry by making it possible to deploy large numbers of low-cost, low-power devices that can be used to collect data in a variety of environments [ 35 , 36 ]. This could lead to new applications in areas, such as smart cities, Industry 4.0, and agriculture.…”

Section: 6g Visions and Requirementsmentioning

confidence: 99%

Emerging Technologies for 6G Communication Networks: Machine Learning Approaches

Puspitasari,

An,

Alsharif

et al. 2023

Sensors

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The fifth generation achieved tremendous success, which brings high hopes for the next generation, as evidenced by the sixth generation (6G) key performance indicators, which include ultra-reliable low latency communication (URLLC), extremely high data rate, high energy and spectral efficiency, ultra-dense connectivity, integrated sensing and communication, and secure communication. Emerging technologies such as intelligent reflecting surface (IRS), unmanned aerial vehicles (UAVs), non-orthogonal multiple access (NOMA), and others have the ability to provide communications for massive users, high overhead, and computational complexity. This will address concerns over the outrageous 6G requirements. However, optimizing system functionality with these new technologies was found to be hard for conventional mathematical solutions. Therefore, using the ML algorithm and its derivatives could be the right solution. The present study aims to offer a thorough and organized overview of the various machine learning (ML), deep learning (DL), and reinforcement learning (RL) algorithms concerning the emerging 6G technologies. This study is motivated by the fact that there is a lack of research on the significance of these algorithms in this specific context. This study examines the potential of ML algorithms and their derivatives in optimizing emerging technologies to align with the visions and requirements of the 6G network. It is crucial in ushering in a new era of communication marked by substantial advancements and requires grand improvement. This study highlights potential challenges for wireless communications in 6G networks and suggests insights into possible ML algorithms and their derivatives as possible solutions. Finally, the survey concludes that integrating Ml algorithms and emerging technologies will play a vital role in developing 6G networks.

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“…Heat/thermal storage YES Partially Partially [13][14][15][16] Pump-storage Partially NO NO [17][18][19][20] Scheduling YES Partially NO [5,[21][22][23][24][25][26][27] V2G/G2V; Fuel cell NO Partially YES [28][29][30][31][32][33] Dump load YES YES NO [34][35][36] Inverter/system control via communication YES NO YES [37][38][39][40][41] VAPL experimental prototype YES YES YES -…”

Section: Battery Soc Not Affected Referencesmentioning

confidence: 99%

“…Controlling the EV's charging power in a grid-connected system [32,33] is a simple solution, but implementing the same in an off-grid system is not a versatile option. These options, especially V2G/G2V, for controlling the excess power expand the quantity of accumulated energy but do not solve the excess power issue in an off-grid system; nevertheless, the versatility of such an implementation would not be achieved in all cases; • Scheduling-this is a versatile solution to control the excess energy in an off-grid system or to simply control the demand [21,27] in a timeline by using the predicted [22] excess energy, but consumer comfort [25,26] is affected and a system must be smart with a one-of-a-kind control algorithm [23,24]. Therefore, this is not a versatile solution and the accumulated energy might be affected anyway;…”

Section: Battery Soc Not Affected Referencesmentioning

confidence: 99%

A Grid-Tied Inverter with Renewable Energy Source Integration in an Off-Grid System with a Functional Experimental Prototype

et al. 2022

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Renewable energy implementation in residential-scale grid-connected systems is already popular, and the growth of such systems is increasing every year. Grid-connected solar systems are relatively simple to install and operate; in addition, such power plants are relatively inexpensive compared to other renewable sources and grid-connection options. However, most residential grid-connected system owners believe that they will become independent from a distribution system operator (DSO) once a renewable energy source (RES) becomes available. As a rule, after installation, without DSOs, grid-connected systems are typically shut down due to a faulty grid, despite RES availability; therefore, such RES grid-connected system owners at later phases aim to become at least partially independent of DSOs. After such a change, the importance of developing a grid-tied inverter connection to an off-grid system will increase. While developing such a system connection the main issue analyzed in this paper is to control the excess power without affecting the accumulated energy levels in a system. As a result, a solution for such a system structure is presented with its main advantage to control excess power without affecting the accumulated energy level.

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Micro-Grid Management Strategy with the Integration of Renewable Energy Using IoT

Cited by 20 publications

References 6 publications

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Emerging Technologies for 6G Communication Networks: Machine Learning Approaches

A Grid-Tied Inverter with Renewable Energy Source Integration in an Off-Grid System with a Functional Experimental Prototype

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