Role of power line communications in the Smart Grid: applications, challenges, and research initiatives

Rao, Prakash; Deebak, Bakkiam David

doi:10.1016/b978-0-323-85626-3.00001-6

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…This technology is an alternative solution to wireless or wired networks, particularly in indoor environments. PLC utilizes frequency ranges in the power grid to facilitate data transmission and can be used for various applications such as internet connectivity, IPTV, smart metering devices, smart home systems, and industrial automation [15][16][17].…”

Section: A Power Line Communicationmentioning

confidence: 99%

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Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

Akinci,

Erdemir,

Zengin

et al. 2023

IEEE Access

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This study endeavors to investigate the effectiveness of machine learning-based methodologies in enhancing the performance and reliability of Power Line Communication (PLC) systems. PLC systems constitute a critical component within the domains of energy management, monitoring, and automation. The fundamental objective herein is to contribute significantly to the scholarly discourse by conducting a comprehensive review encompassing research investigations and practical applications documented in the extant literature. The primary motivation underpinning this research is predicated upon the necessity for a meticulous evaluation of machine learning techniques that hold the potential to enhance the efficacy and stability of PLC systems. The deployment of these techniques bears the promise of engendering heightened levels of efficiency across the spectrum of energy management, communication, and automation systems. Within this scholarly quest, the study posits a hypothesis: Machine learning-based methodologies possess the capacity to effect marked improvements in the performance and reliability of PLC systems. Methodological scrutiny is executed through a comprehensive evaluation of diverse machine learning techniques, including, but not limited to, deep learning, support vector machines, and random forests, facilitated by a series of empirical experiments and simulations. Empirical findings resoundingly corroborate the proposition, substantiating a significant enhancement in the operational performance of PLC systems when these machine learning methods are judiciously employed. In summation, this study assumes the role of a catalyst in exploring latent, untapped potential inherent within machine learning-based methodologies, customarily calibrated to resonate within the intricate matrix of PLC systems. The zenith of this rigorous investigation stands poised to illuminate the path toward transformative advancements in the domains of energy management, communication, monitoring, and automation systems. The findings contribute significantly to the academic discourse, offering a compass for future research inquiries and practical applications within this burgeoning and dynamic field. INDEX TERMSPower line communication, error correction codes, machine learning, transmission control protocols, communication protocols, power networks.

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Section: A Power Line Communicationmentioning

confidence: 99%

“…For example, algorithms can run faster by using hardware with higher computing power. In addition, dataset creation and editing processes can be made more efficient and effective [14,15]. More advanced algorithms and techniques can be developed to detect and process misleading data.…”

Section: A Potential Advantages and Limitationsmentioning

confidence: 99%

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

Akinci,

Erdemir,

Zengin

et al. 2023

IEEE Access

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The key modules involved in the evolution of an effective instrumentation and communication network in smart grids: a review

Seema

Nair

2023

Smart Science

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Smart Grid Communication Networks for Electric Vehicles Empowering Distributed Energy Generation: Constraints, Challenges, and Recommendations

et al. 2023

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Modern communication networks and digital control techniques are used in a smart grid. The first step is to classify the features of several communication networks and conduct a comparative investigation of the communication networks applicable to the smart grid. The integration of distributed generation has significantly increased as the global energy demand rises, and sustainable energy for electric vehicles and renewable energies worldwide are being pursued. Additional explanations for this surge include environmental concerns, the reforming of the power sector, and the advancing of small-scale electricity generation technologies. Smart monitoring and control of interconnected systems are required to successfully integrate distributed generation into an existing conventional power system. Electric-vehicles-based smart grid technologies are capable of playing this part. Smart grids are crucial to avoid becoming locked in an obsolete energy infrastructure and to draw in new investment sources and build an effective and adaptable grid system. To achieve reliability and high-quality power systems, it is also necessary to apply intelligent grid technologies at the bulk power generation and transmission levels. This paper presents smart grid applicable communication networks and electric vehicles empowering distributed generation systems. Additionally, we address some constraints and challenges and make recommendations that will give proper guidelines for academicians and researchers to resolve the current issues.

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Role of power line communications in the Smart Grid: applications, challenges, and research initiatives

Cited by 3 publications

References 26 publications

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

The key modules involved in the evolution of an effective instrumentation and communication network in smart grids: a review

Smart Grid Communication Networks for Electric Vehicles Empowering Distributed Energy Generation: Constraints, Challenges, and Recommendations

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