Cybersecurity for Smart Grid: Threats, Solutions and Standardization

Chhaya, Lipi; Sharma, Paawan; Kumar, Adesh; Bhagwatikar, Govind

doi:10.1007/978-981-15-4246-6_2

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…The management techniques are comparatively is a part of MAS (multi-agent system). The MAS is sectioned into various categories and is installed at various levels of the SG Network to monitor the state of flow of power within the grid [12,13]. The comparative study of each of agent of the MAS is essential to know about their working principal and area of application [14].…”

Section: Related Workmentioning

confidence: 99%

“…Challenges & future directions [11], [1], [2], [16], [7], [10] General overview of the SG infrastructure [12], [3], [13], [14], [17], [4] Distributed network model with energy management systems…”

Section: Prevention Of Cyberattacksmentioning

confidence: 99%

“…Besides, the radiations from the high voltage types of equipment slow down the speed of wireless communication and cause latency. In addition to this, equipment failure is one of the most vital issues, and thus the backup system for the communication system should be strong enough [13].…”

Section: Information and Communication Technologiesmentioning

confidence: 99%

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A comprehensive review on IoT‐based infrastructure for smart grid applications

Pal

Chavhan

Gupta

et al. 2021

IET Renewable Power Gen

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Currently, there is a huge production in the automotive industries and energy consumption resulted into spike in the cost and emissions of greenhouse gases. Hence, an efficient energy utilisation mechanism has become a prime most important factor. Energy and its conservation problem also have raised and become one of the prominent critical factors needed to address. Therefore, the development of smart grid infrastructure is one of the solutions to address the above issue.This article discusses different methods and mechanisms require to manage energy efficiently within the smart grid network using communication technologies and protocols and proposed an integration method of electric vehicles and smart grid using communication networks for charging or discharging electricity and exchanging relevant information. In addition, this paper discusses different integration strategies and multi-agent system implementation in the smart grid network. The proposed multi-agent system shows the efficient method for monitoring power flow and maintaining the stability of the grid. The paper also presents the optimal scheduling of charging of electric vehicles in the smart grid network. Finally, the authors investigated and presented many standard communication protocols and their comparisons with respect to different scenarios. This paper discuss different methods and concepts which would require to manage energy efficiently by using recent communication technologies, communication protocols, and sensor technologies. INTRODUCTIONDue to the growth of industries and population density, energy demand has been increasing exponentially. Hence, the energy consumption is under focus in order to reduce the energy crisis in the future. In this 21st century, conventional electrical energy and network will not meet up with the industries due to the lack of reliability, efficiency, security, seamless connectivity, etc. Therefore, a lot of new technologies (communication and sensor) have evolved to provide above features. The evolved communication and sensor technologies applied to the power grid to make smarter, that is, Smart Grid (SG) [1,2]. The SG infrastructure is the backbone of the future smart cities and the connected electric mobility. The connected infrastructureThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Related Workmentioning

confidence: 99%

Section: Prevention Of Cyberattacksmentioning

confidence: 99%

See 1 more Smart Citation

A comprehensive review on IoT‐based infrastructure for smart grid applications

Pal

Chavhan

Gupta

et al. 2021

IET Renewable Power Gen

View full text Add to dashboard Cite

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“…Otherwise, they may bring disastrous consequences. The threats mostly happen at three different levels [9][10][11][12]:…”

Section: Introductionmentioning

confidence: 99%

“…However, a significant impediment to their adoption is the security issues they raise. With enhanced communication, load balancing automation, and important heterogeneous data analysis capabilities, the grid becomes vulnerable to large-scale cyber-attacks [9,10]. Hence, security is to be a "market enabler" to smart grids.…”

mentioning

confidence: 99%

A Survey on Energy Efficiency in Smart Homes and Smart Grids

et al. 2021

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Empowered by the emergence of novel information and communication technologies (ICTs) such as sensors and high-performance digital communication systems, Europe has adapted its electricity distribution network into a modern infrastructure known as a smart grid (SG). The benefits of this new infrastructure include precise and real-time capacity for measuring and monitoring the different energy-relevant parameters on the various points of the grid and for the remote operation and optimization of distribution. Furthermore, a new user profile is derived from this novel infrastructure, known as a prosumer (a user that can produce and consume energy to/from the grid), who can benefit from the features derived from applying advanced analytics and semantic technologies in the rich amount of big data generated by the different subsystems. However, this novel, highly interconnected infrastructure also presents some significant drawbacks, like those related to information security (IS). We provide a systematic literature survey of the ICT-empowered environments that comprise SGs and homes, and the application of modern artificial intelligence (AI) related technologies with sensor fusion systems and actuators, ensuring energy efficiency in such systems. Furthermore, we outline the current challenges and outlook for this field. These address new developments on microgrids, and data-driven energy efficiency that leads to better knowledge representation and decision-making for smart homes and SGs.

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