Bi-Directional Mutual Energy Trade between Smart Grid and Energy Districts Using Renewable Energy Credits

Rehman, Sana; Khan, Bilal; Arif, Jawad; Ullah, Zahid; Aljuhani, Abdullah; Alhindi, Ahmad; Ali, Sahibzada Muhammad

doi:10.3390/s21093088

Cited by 8 publications

(5 citation statements)

References 22 publications

(40 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Blockchain technology has been adopted for many different fields in which there is a need to exchange some valuable assets. Most notably, there are blockchain-based solution proposed for smart grids [ 156 , 157 ], healthcare and telemedicine [ 158 ], smart insurance [ 159 ], vehicular energy networks [ 160 ], databases [ 158 , 161 ], cloud computing [ 162 ], software-defined networks [ 163 ], wireless sensor networks [ 164 ], trading energy contracts [ 165 ] and livestream video transmissions [ 166 ]. Some of these solutions use existing implementations of public blockchains, such as Bitcoin or Ethereum, and some use their own systems.…”

Section: Secure Data Transmission Methodsmentioning

confidence: 99%

“…It also ensures data integrity, data ownership, and a trusted data source [ 158 ]. The peer-to-peer nature of the transactions in blockchain-based systems bypasses third parties’ participation in the process, which eliminates the single-point-of-failure problem [ 157 ], could positively affect user anonymity, protecting their privacy [ 158 ], and could lead to an overall less expensive system [ 157 ].…”

Section: Secure Data Transmission Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Security of Cryptocurrencies: A View on the State-of-the-Art Research and Current Developments

Weichbroth

Wereszko

Anacka

et al. 2023

Sensors

View full text Add to dashboard Cite

[Context] The goal of security is to protect digital assets, devices, and services from being disrupted, exploited or stolen by unauthorized users. It is also about having reliable information available at the right time. [Motivation] Since the inception in 2009 of the first cryptocurrency, few studies have been undertaken to analyze and review the state-of-the-art research and current developments with respect to the security of cryptocurrencies. [Purpose] We aim to provide both theoretical and empirical insights into the security landscape, in particular focusing on both technical solutions and human-related facets. [Methodology] We used an integrative review which could help in building science and scholarly research, the basis for conceptual and empirical models. [Results] Successful defense against cyberattacks depends on technical measures on the one hand, as well as on self-education and training with the aim to develop competence, knowledge, skills and social abilities, on the other. [Contribution] Our findings provide a comprehensive review for the major achievements and developments of the recent progress on the security of cryptocurrencies. [Future research] Since there is increasing interest in adoption of the current solutions within the central bank digital currencies, the future research should explore the development and inception of effective measures against social engineering attacks, which still remain the main concern.

show abstract

Section: Secure Data Transmission Methodsmentioning

confidence: 99%

Section: Secure Data Transmission Methodsmentioning

confidence: 99%

Security of Cryptocurrencies: A View on the State-of-the-Art Research and Current Developments

Weichbroth

Wereszko

Anacka

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The proposed SA-SLA with bi-directional communication, real-time monitoring, service security, and multiple contracts assures a balance between energy demand and energy supply. CM regulates the actions of stakeholders by enforcing their energy activities under SA-SLA by specifying typical rewards and penalties as mentioned in (6). The typical block diagram of SA-SLA is shown in Fig 2 . Layers play an important role in appropriately regulating the performance of emergent distribution links [2].…”

Section: Stochastic Adaptive-service Level Agreementmentioning

confidence: 99%

“…Further, the integration and control of small-scale prosumer-based microgrids in the paradigm of the Internet of Things and demand-side management is a crucial challenge for the future smart grid [ 3 ]. The challenge of secure energy trading for blockchain-based peer-to-peer microgrids is addressed in [ 4 – 6 ]. Smart contracts ensure beneficial mutual energy transactions between the smart grid and prosumers.…”

Section: Introductionmentioning

confidence: 99%

Stochastic adaptive-service level agreement-based energy management model for smart grid and prosumers

Ahmed

Khan²,

Ullah³

et al. 2022

PLoS ONE

Self Cite

View full text Add to dashboard Cite

The growing issue of demand-supply management between the prosumers and the local energy market requires an efficient and reliable energy management model. The microlayers, such as prosumers, energy districts, and macro players, namely retail dealers and wholesale dealers play a pivotal role in achieving mutual benefits. The stochastic nature of renewable energy generation in energy districts requires an effective model that can contemplate all stochastic complexities. Therefore, this paper proposes a mutual trade model between energy districts and smart grid to authorize the prosumers for mutual energy transactions under the stochastic adaptive-service level agreement. Moreover, multiple smart contacts are developed between the stakeholders to design adaptability and stochastic behavior of wind speed and solar irradiance. The real-time adaptations of the stochastic adaptive-service level agreement are based on technical beneficial feasibility and achieved through stochastic and adaptive functions. The optimized solution based on a genetic algorithm is proposed for the energy cost and energy surplus of prosumers and output parameters of the mutual trade model (grid revenue). In the context of mutual benefits associated with balanced demand and supply, the economic load dispatch and simplex method maximization are used for optimized demand-supply energy management. Moreover, the effectiveness of the proposed adaptive and stochastic mutual trade model is validated through simulation and statistical analysis.

show abstract

“…We came across the work of, who used PSO and GA for neighbor‐selection in peer‐to‐peer networks and found out that GA obtained better results 20 . Similarly, Rehman et al 21 employed GA and PSO to optimize the peer‐to‐peer energy transactions in a decentralized energy trading market and saw that GA results outperformed the PSO ones. GA was also combined with PSO for device‐to‐device (D2D) communication in advanced communication networks 22 .…”

Section: Modelsmentioning

confidence: 99%

Photovoltaic system monitoring and fault detection using peer systems

Alcañiz

Nikam

Snow³

et al. 2022

Progress in Photovoltaics

View full text Add to dashboard Cite

Monitoring residential scale photovoltaic (PV) systems is important for maximizing the energy yield and detecting malfunctions. Analytical‐based approaches are not reliable in these systems because of the lack of on‐site measurements and detailed PV system specifications. In this paper, a collaborative approach is proposed which does not depend on weather data but on similar PV systems. Based on the so‐called performance‐to‐peer approach, the aim of this work is to improve this baseline model by adding PV systems characteristics and by optimizing with machine learning techniques. The methodology has been tested in a fleet of more than 12,000 PV systems located in the Netherlands with up to 7 years of data per system. The proposed model achieves an average of 94.1% and a NRMSE of 0.05, outperforming in terms of the baseline model by 1.4 points, and the analytical approach by 3.8. The data requirements of this model are not high: With 1,700 years of PV system data with daily resolution, the maximum performance can be achieved as long as a minimum of 6 months of data per system and 100 PV systems are considered. The application of this model for fault detection and categorization has also been shown. The proposed approach has shown its strengths with respect to other methods through its ability of distinguishing between system mismatch and actual fault and of adapting to new situations via retraining.

show abstract

Bi-Directional Mutual Energy Trade between Smart Grid and Energy Districts Using Renewable Energy Credits

Cited by 8 publications

References 22 publications

Security of Cryptocurrencies: A View on the State-of-the-Art Research and Current Developments

Security of Cryptocurrencies: A View on the State-of-the-Art Research and Current Developments

Stochastic adaptive-service level agreement-based energy management model for smart grid and prosumers

Photovoltaic system monitoring and fault detection using peer systems

Contact Info

Product

Resources

About