Cognitive Radio for Smart Grid with Security Considerations

Shuaib, Khaled; Barka, Ezedin; Hussien, Nedaa Al; Abdel-Hafez, Mohammed; Alahmad, Mahmoud

doi:10.3390/computers5020007

Cited by 17 publications

(5 citation statements)

References 40 publications

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“…It is based on a twoway communication network, which might expose the system to various types of security and privacy threats which can harm the confidentiality, integrity and reliability of the system [91]- [95]. As indicated by various studies [91], [92], [96], security vulnerabilities include: (a) submission of fake contracts, (b) double spending of energy or money, (c) modification of transactions, (d) possible Denial of Service (DoS) attacks on P2P-DET systems, etc. Privacy problems on smart grid users are discussed in various studies [93], [95], [97].…”

Section: State Of Art Review On P2p Conceptmentioning

confidence: 99%

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

et al. 2019

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Energy Resources (DERs) are being integrated into the power market by customers rather than large scale energy suppliers, thereby slowly transforming the centralized, unidirectional market to a decentralized, bidirectional market and transitioning customers into prosumers. Various system architectures are used in the real field to coordinate the energy distribution in the micro/ mini-grids integrated with DERs, all of which have their strengths, weaknesses and challenges. Peer-to-peer (P2P) is an emerging architecture in the field of electrical energy trading and Distributed Generation (DG) management that can be applied in local energy markets. This paper focuses on P2P energy trading, with an in-depth discussion on its various operating algorithms, their principles, characteristics, features and scope through state of art review on P2P. Furthermore, the energy system of Nepal is used as a case study in this paper, and the micro/mini-grids of Nepal and their associated challenges, constraints and opportunities for improvement are discussed. Finally, an energy trading model is proposed to address the problems occurring in the specific case of Nepalese energy market.

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Section: State Of Art Review On P2p Conceptmentioning

confidence: 99%

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

et al. 2019

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“…In [17], the authors discussed the jamming attack problem in smart grids as well as V2G systems. For such kind of networks, the useful information from service providers, e.g., energy price and locations of charging stations, may be unavailable to the PEV users due to diverse types of jamming attacks such as constant jamming, deceptive jamming, random jamming, and reactive jamming [18].…”

Section: B Security Requirements and Cyber Risks In V2g Systemsmentioning

confidence: 99%

Charging and Discharging of Plug-In Electric Vehicles (PEVs) in Vehicle-to-Grid (V2G) Systems: A Cyber Insurance-Based Model

et al. 2017

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In addition to being environment-friendly, vehicleto-grid (V2G) systems can help the plug-in electric vehicle (PEV) users in reducing their energy costs and can also help stabilizing energy demand in the power grid. In V2G systems, since the PEV users need to obtain system information (e.g., locations of charging/discharging stations, current load and supply of the power grid) to achieve the best charging and discharging performance, data communication plays a crucial role. However, since the PEV users are highly mobile, information from V2G systems is not always available for many reasons, e.g., wireless link failures and cyber attacks. Therefore, in this paper, we introduce a novel concept using cyber insurance to "transfer" cyber risks, e.g., unavailable information, of a PEV user to a third party, e.g., a cyber insurance company. Under the insurance coverage, even without information about V2G systems, a PEV user is always guaranteed the best price for charging/discharging. In particular, we formulate the optimal energy cost problem for the PEV user by adopting a Markov decision process framework. We then propose a learning algorithm to help the PEV user make optimal decisions, e.g., to charge or discharge and to buy or not to buy insurance, in an online fashion. Through simulations, we show that cyber insurance is an efficient solution not only in dealing with cyber risks, but also in maximizing revenue of the PEV user.

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“…The vacant spectrum is also called white space which is used by cognitive radio temporarily. If this band is use by licensed user the cognitive radio moves to another vacant spectrum or stays in the same band, altering its transmission power level or modulation scheme to avoid interference [6].…”

Section: Cognitive Radio Network (Crn) Conceptmentioning

confidence: 99%

Hybrid Power Supply System Monitoring And Control By Using Least Mean Square Algorithm

Park¹,

Liu²,

Ju³

et al. 2018

Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018

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Due to the influence of different parameters, the electricity generated by the proton exchange membrane (PEM) fuel cell is not continuous. So, to provide the dynamic response for variable load and to meet the transient as well as peak load demand PEM fuel cell is connected with Li-ion Battery and made a hybrid power supply system. Such type of hybrid system has zero environmental effects and also solve the fossil fuel energy crisis in every country. But in this type of hybrid system, temperature effects is one of the most significant parameters which directly influence the performance of the system. So, in this paper, we are trying to investigate the detail design and effect of temperature parameters on hybrid system. Also, we are trying to monitoring, analyze and control the temperature effects through monitoring and control unit. The real time data communication for remote monitoring and control of hybrid system, a LMS estimation is used. By the use of this method, probability of energy signal detection will be increased as a result the frequency shortage problem will be solved. So the monitoring system hanging out and slow speed problem will be solved. Also from the control unit, temperature effect is controlled as per the system requirement. As a result, hybrid system generates maximum electricity with better performance.

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Cognitive Radio for Smart Grid with Security Considerations

Cited by 17 publications

References 40 publications

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

Charging and Discharging of Plug-In Electric Vehicles (PEVs) in Vehicle-to-Grid (V2G) Systems: A Cyber Insurance-Based Model

Hybrid Power Supply System Monitoring And Control By Using Least Mean Square Algorithm

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