Permissioned Blockchains and Virtual Nodes for Reinforcing Trust Between Aggregators and Prosumers in Energy Demand Response Scenarios

Patsonakis, Christos; Terzi, Sofia; Moschos, Ioannis; Ioannidis, Dimosthenis; Votis, Konstantinos; Tzovaras, Dimitrios

doi:10.1109/eeeic.2019.8783521

Cited by 17 publications

(21 citation statements)

References 16 publications

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“…Secondly, the mass deployment of smart meters, IoT devices, and DERs results in the growing number and complexity of agents and actions associated with power systems. Finally, the aim to encourage buyers and various energy sector players to participate in wide-scale DR schemes and facilitate market growth necessitates a decentralized infrastructure that at least provides a possibility for a financial settlement in energy transactions [80]. Consequently, B2B e-commerce platforms are utilized to benefit from the growing energy demand and numbers of involved parties.…”

Section: Blockchain-supported Demand Response In Smart Gridsmentioning

confidence: 99%

Overview of Demand-Response Services: A Review

2022

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It is essential for the electricity sector to analyze and determine the distribution capacity throughput and apply new methods aimed at increasing the capacity of the transmission system. Consequently, the transition to modern electricity networks is two-sided, i.e., involving technological and social modifications. The demand response (DR) redistributes consumption away from peak times when grid load and costs are the highest. It incentivizes customers to use electricity when supply is high and inexpensive due to various market mechanisms. The present DR policy proposals stress the importance of fostering behavioral change through competitive pricing and customer participation in reducing carbon emissions and implementing smart energy solutions (including monitoring tools, such as smart meters and applications). The internet of things (IoT) has been applied to ensure adaptive monitoring of energy consumption and cost-effective and adequate demand-side management (DSM). The article is based on the research of the most recent sources of DR implementation methods applied at the power distribution level. It explains the main concepts, classifications, and entities implementing DSM programs, and suggests new visions and prospects for DSM and DR. Moreover, it discusses the application of blockchain technology potential for the internet of energy.

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Section: Blockchain-supported Demand Response In Smart Gridsmentioning

confidence: 99%

Overview of Demand-Response Services: A Review

2022

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“…However, the use of blockchain in the energy sector will not be limited to settlement issues alone [85,89]. Full structures of smart contracts based on the DSR framework are being considered, aggregating the prosumers in houses where infrastructure and functioning are provided by blockchain technology [90].…”

Section: Consequence: Digital Settlements For Energy Exchangementioning

confidence: 99%

Impact of the Lockdown during the COVID-19 Pandemic on Electricity Use by Residential Users

et al. 2021

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The COVID-19 pandemic and the associated lockdown can be regarded as a forced social experiment, the results of which show how to use energy under specific conditions. During this period, there was a reduction in electricity consumption at the level of the power system, but a different specificity distinguishes the group of household users. The article aims at presenting and analysing the identified issues concerning residential electricity users based on the experience from the COVID-19 pandemic lockdown. Data from energy meters from almost 7000 flats in Warsaw’s housing estates during the lockdown in 2020 and the analogous period before the pandemic were used. The analysis showed that, on average, residential users staying practically the whole day in their flats increased their energy consumption, but without increasing their average daily peak power, smoothing the profile in the morning hours to the level reaching the peak power that had occurred in the analogous period before the lockdown. The peak power of the sections feeding the different numbers of dwellings also remained practically unchanged during the lockdown compared to the pre-pandemic period. The pressure to work and educate remotely should contribute to an increase in the digital competence of society, which may result in an increased interest in new forms of activity and cooperation based on demand-side response and prosumption mechanisms, with digital settlements for energy exchange and services.

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“…An overview of the DELTA architecture can be found in [25] and a detailed description of it in [26]. A graph-based representation of the DELTA architecture is depicted in Figure 3.…”

Section: Selection Of the Optimal Setmentioning

confidence: 99%

Attack Path Analysis and Cost-Efficient Selection of Cybersecurity Controls for Complex Cyberphysical Systems

Σπαθούλας

Kavallieratos

Katsikas

et al. 2022

Computer Security. ESORICS 2021 International Workshops

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The increasing integration of information technology with operational technology leads to the formation of Cyber-Physical Systems (CPSs) that intertwine physical and cyber components and connect to each other. This interconnection enables the offering of functionality beyond the combined offering of each individual component, but at the same time increases the cyber risk of the overall system, as such risk propagates between and aggregates at component systems. The complexity of the resulting systems in many cases leads to difficulty in analyzing cyber risk. Additionally, the selection of cybersecurity controls that will effectively and efficiently treat the cyber risk is commonly performed manually, or at best with limited automated decision support. In this paper, we extend our previous work in [1] to analyze attack paths between CPSs on one hand, and we improve the method proposed therein for selecting a set of security controls that minimizes both the residual risk and the cost of implementation. We use the DELTA demand-response management platform for the energy market stakeholders such as Aggregators and Retailers [2] as a use case to illustrate the workings of the proposed approaches. The results are sets of cybersecurity controls applied to those components of the overall system that have been identified to lie in those attack paths that have been identified as most critical among all the identified attack paths.

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Permissioned Blockchains and Virtual Nodes for Reinforcing Trust Between Aggregators and Prosumers in Energy Demand Response Scenarios

Cited by 17 publications

References 16 publications

Overview of Demand-Response Services: A Review

Overview of Demand-Response Services: A Review

Impact of the Lockdown during the COVID-19 Pandemic on Electricity Use by Residential Users

Attack Path Analysis and Cost-Efficient Selection of Cybersecurity Controls for Complex Cyberphysical Systems

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