On the Implementation of IoT-Based Digital Twin for Networked Microgrids Resiliency Against Cyber Attacks

Saad, Ahmed A.; Faddel, Samy; Youssef, Tarek; Mohammed, Osama A.

doi:10.1109/tsg.2020.3000958

Cited by 136 publications

(56 citation statements)

References 29 publications

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“…It can be seen from the simulation results that the error of the classical Runge-Kutta solution is still greater than that of the implicit second-order and fourth-order Runge-Kutta solution, even if the solution accuracy is improved 10 times. With one-tenth of the solution precision of the classical solution, the proposed solution obtained the accurate results of the classical solution with standard deviation of 32.27% and maximum deviation of 26.98%, respectively [14][15][16][17]. Moreover, the classical method has a serious problem of accumulated error.…”

Section: Simulation and Analysis Of Mac Layer Energy Consumption And mentioning

confidence: 92%

MAC Layer Energy Consumption and Routing Protocol Optimization Algorithm for Mobile Ad Hoc Networks

Liu

2021

Complexity

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Mobile ad hoc network is a network composed of mobile terminals without infrastructure. Due to its fast-networking ability, it is widely used in smart cities, car networking, military, agriculture, medicine, and other fields. Routing technology is a key technology in the field of MANET (mobile ad hoc network). The energy consumption is optimized through the technical network simulator NS-3, and the nodes in the MANET routing protocol can accurately simulate the problem, thereby optimizing the MAC layer of important research tools. This article combines the advantages of the lithium-ion (lithium) battery model. Compared with the KiBaM battery model, the effective charge in the KiBaM model simulates the output voltage well, which can reflect the battery capacity effect rate and the recovery effect of the lithium-ion-KiBaM battery model. The model can respond to the characteristics of the output voltage as the society gets lower and lower. In order to solve the problem that the analytic solution of differential equations cannot be obtained in the model, a numerical solution of the optimization algorithm is proposed based on the implicit Runge–Kutta method. The MAC layer energy consumption and routing protocol optimization algorithm proposed in this paper can be applied well in various fields.

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Section: Simulation and Analysis Of Mac Layer Energy Consumption And mentioning

confidence: 92%

MAC Layer Energy Consumption and Routing Protocol Optimization Algorithm for Mobile Ad Hoc Networks

Liu

2021

Complexity

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“…For example, Zhou et al [14] presented a human-cyber-physical system by integrating human behaviors in intelligent manufacturing, which was considered as a new-generation of digital manufacturing with three main factors: human, network and physical system. IoT sensors and cameras were used to design an IoT-based DT for energy efficient CPS [15], which could improve the work efficiency based on human knowledge management, transfer and application in smart manufacturing.…”

Section: A Dt Technology In Cpsmentioning

confidence: 99%

“…Generally, one important step in DT is to create a virtual model to truly reproduce the geometry, attributes, behaviors and rules of physical entities. Dai et al [16] proposed a DT network which combined the DT with industrial IoT network for the modeling of network topology. They developed a deep reinforcement learning mechanism to deal with the computation offloading and resource allocation problem.…”

Section: A Dt Technology In Cpsmentioning

confidence: 99%

Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems

Zhou

Liang

et al. 2022

IEEE Trans. Ind. Inf.

197

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Recently, along with several technological advancements in Cyber-Physical Systems (CPS), the revolution of Industry 4.0 has brought in an emerging concept named Digital Twin (DT), which shows it potential to break the barrier between the physical and cyber space in smart manufacturing. However, it is still difficult to analyze and estimate the real-time structural and environmental parameters in terms of their dynamic changes in digital twinning, especially when facing detection tasks of multiple small objects from a large-scale scene with complex contexts in modern manufacturing environments. In this study, we focus on a small object detection model for DT (SOD-DT), aiming to realize the dynamic synchronization between a physical manufacturing system and its virtual representation. Three significant elements, including equipment, product, and operator, are considered as the basic environmental parameters to represent and estimate the dynamic characteristics and real-time changes in building a generic DT system of smart manufacturing workshop. A hybrid deep neural network model based on the integration of MobileNetv2, YOLOv4, and Openpose, is constructed to identify the real-time status from physical manufacturing environment to virtual space. A learning algorithm is then developed to realize the efficient multi-type small object detection based on the feature integration and fusion from both shallow and deep layers, in order to facilitate the modeling, monitoring, and optimizing of the whole manufacturing process in DT system. Experiments and evaluations conducted in

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“…In the power system studies, the networks are traditionally modelled and simulated to understand their response to abnormal events. The novelty brought by the digital twin is to deal with the introduction of IoT and cloud computing in the electrical grid seen as a cyber-physical system (Saad et al, 2020 ).…”

Section: Information Qualitymentioning

confidence: 99%

Data Consistency for Data-Driven Smart Energy Assessment

Chicco

2021

Front. Big Data

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In the smart grid era, the number of data available for different applications has increased considerably. However, data could not perfectly represent the phenomenon or process under analysis, so their usability requires a preliminary validation carried out by experts of the specific domain. The process of data gathering and transmission over the communication channels has to be verified to ensure that data are provided in a useful format, and that no external effect has impacted on the correct data to be received. Consistency of the data coming from different sources (in terms of timings and data resolution) has to be ensured and managed appropriately. Suitable procedures are needed for transforming data into knowledge in an effective way. This contribution addresses the previous aspects by highlighting a number of potential issues and the solutions in place in different power and energy system, including the generation, grid and user sides. Recent references, as well as selected historical references, are listed to support the illustration of the conceptual aspects.

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On the Implementation of IoT-Based Digital Twin for Networked Microgrids Resiliency Against Cyber Attacks

Cited by 136 publications

References 29 publications

MAC Layer Energy Consumption and Routing Protocol Optimization Algorithm for Mobile Ad Hoc Networks

MAC Layer Energy Consumption and Routing Protocol Optimization Algorithm for Mobile Ad Hoc Networks

Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems

Data Consistency for Data-Driven Smart Energy Assessment

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