Decentralized Cloud-SDN Architecture in Smart Grid: A Dynamic Pricing Model

Chekired, Djabir Abdeldjalil; Khoukhi, Lyes; Mouftah, Hussein T.

doi:10.1109/tii.2017.2742147

Cited by 104 publications

(48 citation statements)

References 13 publications

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“…The underlying concept is sometimes referred to as Transactive control, which is the design of feedback loops using financial transactions to improve quality of service in domains such as cities or the smart grid area: particular examples on this topic can be found in [24]- [33]. Other specific examples of dynamic pricing can be found in [34] (incentivizing users to schedule electricity-consuming applications more prudently), in [35] (managing EVs charging and discharging in order to reduce the peak loads), in [36] (combining the classical hierarchical control in the power grid with market transactions) and [37] (where the authors propose a transactive control system of commercial building heating, ventilation, and air-conditioning for demand response).…”

Section: B Related Workmentioning

confidence: 99%

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Distributed Ledger Technology for Smart Cities, the Sharing Economy, and Social Compliance

2018

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This paper describes how Distributed Ledger Technologies can be used to enforce social contracts and to orchestrate the behaviour of agents trying to access a shared resource. The first part of the paper analyses the advantages and disadvantages of using Distributed Ledger Technologies architectures to implement certain control systems in an Internet of Things (IoT) setting, and then focuses on a specific type of DLT based on a Directed Acyclic Graph. In this setting we propose a set of delay differential equations to describe the dynamical behaviour of the Tangle, an IoTinspired Directed Acyclic Graph designed for the cryptocurrency IOTA. The second part proposes an application of Distributed Ledger Technologies as a mechanism for dynamic deposit pricing, wherein the deposit of digital currency is used to orchestrate access to a network of shared resources. The pricing signal is used as a mechanism to enforce the desired level of compliance according to a predetermined set of rules. After presenting an illustrative example, we analyze the control system and provide sufficient conditions for the stability of the network. I. INTRODUCTORY REMARKSBitcoin, and the technology that underpins it, Blockchain, have recently become a source of great debate and controversy in both business and scientific communities. To its supporters, Distributed Ledger Technology (DLT) (the agnostic term for Blockchain and related technologies)[1][2] is a key technology that will unlock new disruptive business models such as peer to peer trading, protect the rights of individuals, democratise society, and remove the need for central arbiters in many applications (the greedy middle that manages and exploits our assets and identities for financial reward). To its detractors, DLT is nothing more than pure hype, irrational speculation, and a means to enable new forms of illegality built on the anonymity that underpins the technology. DLT as a technology is truly unparalleled in its ability to split and divide opinions. Countries such as Switzerland and Singapore are openly embracing its potential, while other countries, such as China and India are trying to regulate its use [3]. Leading societal thinkers are also split on DLT; with George Soros 1 thinking it to be nothing more than a bubble and others such as Al Gore embracing the idea that algorithms might one day assume some of the functions of government 2 . A first version of this manuscript is posted to the Arxiv, arXiv:1807.00649 1 https://www.forbes.com/sites/gurufocus/2018/01/25/george-soros-fromdavos-bitcoin-is-a-typical-bubble/#7a1d097929d0 2 https://www.forbes.com/sites/ksamani/2017/10/04/how-crypto-willreshape-capitalism-as-we-know-it/2/#5b9daa0e6ed4 Though the schism in DLT thinking is very real, everyone seems to agree on one basic fact -that DLT is potentially a very disruptive technology. Even opponents of the technology are exploring the many ways it can be used, and the consequent potential implications for society. Roughly speaking, as the name suggests, DLT is a technology...

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Section: B Related Workmentioning

confidence: 99%

“…In order to investigate local stability, we consider a perturbation of the form ξ i (t) = ξ i e zt , θ i (t) = θ i e zt (36) where ξ i , θ i are constant, and z is a complex parameter. Substituting (36) into (35) leads to the equations…”

Section: F Stability Of Conflicts In the Fluid Modelmentioning

confidence: 99%

Distributed Ledger Technology for Smart Cities, the Sharing Economy, and Social Compliance

2018

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“…The work analyzes and validates the positive effect of multi-tier communication on bandwidth and delay performance. In [228], a decentralized EV scheduling is achieved using hierarchical computing and SDN control.…”

Section: Information Management For V2g Servicesmentioning

confidence: 99%

Energy and Information Management of Electric Vehicular Network: A Survey

Chen

Wang

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

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The connected vehicle paradigm empowers vehicles with the capability to communicate with neighboring vehicles and infrastructure, shifting the role of vehicles from a transportation tool to an intelligent service platform. Meanwhile, the transportation electrification pushes forward the electric vehicle (EV) commercialization to reduce the greenhouse gas emission by petroleum combustion. The unstoppable trends of connected vehicle and EVs transform the traditional vehicular system to an electric vehicular network (EVN), a clean, mobile, and safe system. However, due to the mobility and heterogeneity of the EVN, improper management of the network could result in charging overload and data congestion. Thus, energy and information management of the EVN should be carefully studied. In this paper, we provide a comprehensive survey on the deployment and management of EVN considering all three aspects of energy flow, data communication, and computation. We first introduce the management framework of EVN. Then, research works on the EV aggregator (AG) deployment are reviewed to provide energy and information infrastructure for the EVN. Based on the deployed AGs, we present the research work review on EV scheduling that includes both charging and vehicle-to-grid (V2G) scheduling. Moreover, related works on information communication and computing are surveyed under each scenario. Finally, we discuss open research issues in the EVN.

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“…In [26], the author proposed an architecture which is decentralized cloud based architecture. The authors aimed to schedule the requests coming from consumer side in a real-time environment.…”

Section: Related Workmentioning

confidence: 99%

Towards Efficient Resource Utilization Exploiting Collaboration between HPF and 5G Enabled Energy Management Controllers in Smart Homes

et al. 2018

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The influence of Information Communication and Technology (ICT) in power systems necessitates Smart Grid (SG) with monitoring and real-time control of electricity consumption. In SG, huge requests are generated from the smart homes in residential sector. Thus, researchers have proposed cloud based centralized and fog based semi-centralized computing systems for such requests. The cloud, unlike the fog system, has virtually infinite computing resources; however, in the cloud, system delay is the challenge for real-time applications. The prominent features of fog are; awareness of location, low latency, wired and wireless connectivity. In this paper, the impact of longer delay of cloud in SG applications is addressed. We proposed a cloud-fog based system for efficient processing of requests coming from the smart homes, their quick response and ultimately reduced cost. Each smart home is provided with a 5G based Home Energy Management Controller (HEMC). Then, the 5G-HEMC communicates with the High Performance Fog (HPF). The HPFs are capable of processing energy consumers' huge requests. Virtual Machines (VMs) are installed on physical systems (HPFs) to entertain the requests using First Come First Service (FCFS) and Ant Colony Optimization (ACO) algorithms along with Optimized Response Time Policy (ORTP) for the selection of potential HPF for efficient processing of the requests with maximum resource utilization. It is analysed that size and number of virtual resources affect the performance of the computing system. In the proposed system model, micro grids are introduced in the vicinity of energy consumers for uninterrupted and cost optimized power supply. The impact of the number of VMs on the performance of HPFs is analysed with extensive simulations with three scenarios.

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Decentralized Cloud-SDN Architecture in Smart Grid: A Dynamic Pricing Model

Cited by 104 publications

References 13 publications

Distributed Ledger Technology for Smart Cities, the Sharing Economy, and Social Compliance

Distributed Ledger Technology for Smart Cities, the Sharing Economy, and Social Compliance

Energy and Information Management of Electric Vehicular Network: A Survey

Towards Efficient Resource Utilization Exploiting Collaboration between HPF and 5G Enabled Energy Management Controllers in Smart Homes

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