An overview and multicriteria analysis of communication technologies for smart grid applications

Abdulsalam, Khadeejah Adebisi; Adebisi, John Adetunji; Emezirinwune, Michael; Babatunde, Olubayo Moses

doi:10.1016/j.prime.2023.100121

Cited by 21 publications

(8 citation statements)

References 55 publications

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“…An improved electrical grid, or "smart grid," is one that makes use of automation, data analytics, and digital communication to increase the sustainability, dependability, Abrarul Haque, Technical and Economic Challenges and Future Prospects of a Smart Grid -A Case Study and efficiency of the production, distribution, and use of energy [8]. The efficient management and distribution of renewable energy sources, including solar, wind, and hydrogen, is made possible by smart grid technologies.…”

Section: Smart Gridmentioning

confidence: 99%

Technical and Economic Challenges and Future Prospects of a Smart Grid - A Case Study

Haque,

Hussain,

Ali

et al. 2024

Control Syst. Optim. Lett.

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In order to improve grid efficiency, dependability, and sustainability, smart grid technology is being developed and implemented at the vanguard of updating the world's electrical infrastructure. In addition to looking at the potential implications of smart grid technology, this case study analyzes the technical and financial difficulties encountered during the implementation of a smart grid. Technical issues with energy management and system stability arise when intermittent renewable energy sources are integrated into the smart grid. To make smooth transmission, sophisticated algorithms and grid management strategies are needed. Maintaining data security and privacy is crucial since smart grids mostly depend on digital technology and data exchange. It is a constant worry to defend the grid from hackers and illegal access. The installation of sensors, smart meters, and communication equipment might come with a significant initial cost when implementing a smart grid. One of the main economic challenges is financing these developments while maintaining reasonable power bills. It may be difficult to strike a balance between the interests of technology suppliers, customers, and utilities. Real-time monitoring and control are made possible by smart grids, which improve energy distribution and minimize energy waste. In addition to lowering greenhouse gas emissions, this improves overall energy efficiency. Smart grids can enable EV charging infrastructure as electric vehicle (EV) use increases, providing potential for grid optimization and new income streams for utilities. Reliability could be increased and downtime is decreased in a smart grid when defects can be promptly identified and isolated. The implementation of a smart grid is not without its technical and financial difficulties, but the future seems bright. Overcoming these obstacles may result in an electrical grid that is more sustainable, robust, and profitable for customers as well as utilities. Stakeholder cooperation, flexible regulations, and continuous technical development are needed to address these problems. By providing practical applications and real-world insights into the implementation of a smart grid, the case study acts as a link between theoretical concepts. Stakeholders obtain a comprehensive comprehension of the intricacies involved by analyzing technical and economic obstacles. To maximize the potential of smart grid technology, this knowledge is essential for fine-tuning strategies and creating focused solutions.

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Section: Smart Gridmentioning

confidence: 99%

Technical and Economic Challenges and Future Prospects of a Smart Grid - A Case Study

Haque,

Hussain,

Ali

et al. 2024

Control Syst. Optim. Lett.

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“…Ref. [4] provided the results of a multi-criteria evaluation of ICT. Various methods were used to evaluate the weights of individual criteria, with such methods classified as objective, subjective, or complex.…”

Section: Choosing the Optimal Ictsmentioning

confidence: 99%

“…DERs include renewable electricity generation (wind and solar power plants), fuel generation (gas turbine units, gas piston units, diesel generator sets, microturbines, etc. ), as well as energy storage systems (ESSs) and fuel cells (FCs) [4,5].…”

Section: Introductionmentioning

confidence: 99%

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

et al. 2023

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The process of building microgrids on top of existing passive distribution networks warrants a multi-criteria analysis. Besides the calculation of the investment outlays needed for the modernization of distribution networks, such an analysis covers an assessment of the technological and economic effects of building microgrids. The resulting effects depend on the topology and configuration of distribution networks, specific microgrid features, the choice of the current type for the entire microgrid or its individual parts, the methods of connecting distributed energy resources (DERs), the availability and maturity of information and communications technology (ICT) infrastructure, and other factors. Comprehensive input data allow for designing an optimal microgrid configuration, but the main technological and economic effects are determined by the algorithms of operation and the parameter settings of the automatic control system (ACS) and the protection system. The known approaches to designing microgrids focus on addressing basic tasks while minimizing the investment required for their implementation. The above is fully justified when constructing new microgrids, but building microgrids on top of existing distribution networks, given the uniqueness of their topology and configuration, does not allow the use of standardized solutions. The development of approaches to the design of microgrids under such constraints, with minimized investment in the modernization of existing distribution networks, is an urgent task. The use of different types of current for individual microgrid segments determines the choice of the particular ACS and protection system, which depends on the availability of information and communications technology infrastructure. This article contributes a review of approaches to designing AC and AC–DC microgrids so as to maximize their technological and economic effects. We review techniques for analyzing the existing distribution networks aimed at choosing the type of current for the entire microgrid or its individual parts, the optimal points for the connection of microgrids to distribution networks, and the mix and capacity of DERs, with such choices informed by the conditions of the switching devices and information and communications technology infrastructure. This article presents the results of the analysis of approaches to choosing the optimal configuration of microgrids, microgrid ACS, and protection system, with an evaluation of the technological and economic effects subject to the minimization of investment in the modernization of the existing distribution networks.

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“…The physical link mentioned here involves integrating, injecting, and extracting the communication signals to and from the power line. Consequently, to establish a connection with the line, there are four ways of physical configuration: antenna, resistive, inductive, and capacitive [21,22]. [23], [24].…”

Section: Figure 1 Categorization and Network Visualization Of Plc Systemmentioning

confidence: 99%

“…Instead of focusing on suppressing the IN-affected samples in the received signal, a more effective approach involves estimating the IN and integrating it into the channel estimation process [18]. This can be accomplished by utilizing signal processing schemes proposed in [19][20][21] to estimate the sparse IN components present in the received signal. A likelihood function can be formulated to leverage the estimated IN and observations of the received signal.…”

Section: Related Work On ML Based Error Correction Codes and Communic...mentioning

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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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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An overview and multicriteria analysis of communication technologies for smart grid applications

Cited by 21 publications

References 55 publications

Technical and Economic Challenges and Future Prospects of a Smart Grid - A Case Study

Technical and Economic Challenges and Future Prospects of a Smart Grid - A Case Study

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

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

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