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Research on Digital Twin and Collaborative Cloud and Edge Computing Applied in Operations and Maintenance in Wind Turbines of Wind Power Farm [chapter]

Fuxing Li, Luxi Li, You Peng
2021 Advances in Transdisciplinary Engineering  
Data source layer solves acquisition and transmission of wind turbine operation and maintenance data, edge computing node layer is responsible for on-site data cloud computing, storage and data transmission  ...  Framework consists of data source layer, edge computing node layer, public or private cloud.  ...  based on the huge amount of data collected by ilar wind turbine equipment, and establish or iterate fault diagnosis expert wledge.  ... 
doi:10.3233/atde210263 fatcat:k4mccxxi4zemndkwxbbcnnx43e

Integration of a Heuristic Multi-Agent Protection System into a Distribution Network Interconnected with Distributed Energy Resources

Pejman Peidaee, Akhtar Kalam, Juan Shi
2020 Energies  
The adopted methodology is reliant on real-time simulation of a distribution network interconnected with Doubly-fed Induction Generator (DFIG) wind farms where different fault scenarios are applied to  ...  rely on a detailed analysis of fault current contribution and variation in operation conditions under real-world scenarios.  ...  We are also immensely grateful to Vitoria University and Professor Stephen Gray, the Director of the Institute of Sustainable Industries and Liveable Cities (ISILC) for approving the on campus access for  ... 
doi:10.3390/en13205250 fatcat:6tzkzzt5gzfpbb6b5rqzmwtgfu

Wireless Sensors Networks Applications For Micro-Grids Management: State of Art

Mazen Takriti, Zina Boussaada, Ines Sansa, Octavian Curea, Najiba Mrabet Bellaaj
2020 2020 6th IEEE International Energy Conference (ENERGYCon)  
The complexity and the decentralization of Micro-Grids have led to management and diagnosis issues because of using distributed power sources, especially the renewable energy sources.  ...  Wireless Sensor Networks can substitute part of the communication infrastructure of the Micro-Grid, it deploys between its elements in order to ensure data flow in real time.  ...  CONCLUSION WSNs consist of hundreds of sensor nodes that may be deployed in a relatively complex environment such as in the MG one.  ... 
doi:10.1109/energycon48941.2020.9236519 fatcat:j6p6j7eclnaelocpxuzycsadky

Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0

Radhya Sahal, Saeed H. Alsamhi, John G. Breslin, Kenneth N. Brown, Muhammad Intizar Ali
2021 Applied Sciences  
A use case of Energy 4.0 fault diagnosis for wind turbines is described to present the use of the proposed framework and DTs collaboration to identify and diagnose the potential failure, e.g., malfunctioning  ...  nodes within the energy industry.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11073186 fatcat:wucysis52zdj3mqpvdz4wluehi

XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations Maintenance of Wind Turbines [article]

Joyjit Chatterjee, Nina Dethlefs
2021 arXiv   pre-print
Condition-based monitoring (CBM) has been widely utilised in the wind industry for monitoring operational inconsistencies and failures in turbines, with techniques ranging from signal processing and vibration  ...  We propose XAI4Wind, a multimodal knowledge graph for explainable decision support in real-world operational turbines and demonstrate through experiments several use-cases of the proposed KG towards O&  ...  wind industry.  ... 
arXiv:2012.10489v2 fatcat:3n6rfi3twbenhaqfmnyblm7spq

Table of Contents

2020 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)  
Impulse Failure Probability Analysis of Lightining Strike Transmission Line Based on Data Mining 4070 Po11-35 Research on Bearing Fault Identification of Wind Turbine Based on Deep Belief Network 4076  ...  Multi-objective Optimal Scheduling of Power Systems Based on Complementary Characteristics of Heterogeneous Energy Sources 1533 Po02-16 The Impact of High-Speed Heavy Electric Railway Load on Wind Farms  ... 
doi:10.1109/ei250167.2020.9347098 fatcat:uzijufuzb5ab3blgftr5niughe

The Conundrum of Fault Detection in Partially Observable AC-DC Distribution Systems

Shahram Negari, Dewei(David) Xu
2020 The Journal of Engineering  
Fault detection in hybrid AC-DC distribution networks is a challenging problem due to various sources of uncertainty and high degrees of complexity.  ...  A few well-known sources that instil uncertainty in the system are stochasticity of energy injected by distributed energy resources, noisy or corrupt data, heterogeneity of agents, problems with the automated  ...  If the anemometer confirms that there is no wind blowing, its inclusion increases the degree of our belief in the correctness of information received from the wind turbine that its injected power is nil  ... 
doi:10.1049/joe.2019.1059 fatcat:rtbx7525hvbsdj5xq2r7hvmlmq

Distributed Learning Applications in Power Systems: A Review of Methods, Gaps, and Challenges

Nastaran Gholizadeh, Petr Musilek
2021 Energies  
Distributed learning is a collaboratively decentralized machine learning algorithm designed to handle large data sizes, solve complex learning problems, and increase privacy.  ...  Distributed learning is a subfield of machine learning and a descendant of the multi-agent systems field.  ...  After a fault occurrence in the system, the power network was divided into several groups based on rotor speed data using the K-means clustering algorithm.  ... 
doi:10.3390/en14123654 fatcat:25fv4mw2dfan5c23lhi3l45tte

Fog Computing for Realizing Smart Neighborhoods in Smart Grids

Rituka Jaiswal, Reggie Davidrajuh, Chunming Rong
2020 Computers  
Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and intelligence over the Internet ("the cloud").  ...  This is achieved through an extensive literature study, firstly on Fog Computing and its foundation technologies, its applications and the literature review of Fog Computing research in various application  ...  It will also help in deciding what appropriate fog nodes locations based on the workload of the area are. 2.  ... 
doi:10.3390/computers9030076 doaj:56a1bb6fa6584ded977208dc1be1f513 fatcat:tbs4p5paczam3bfoqkcpi7zwyy

Communication Architecture for Grid Integration of Cyber Physical Wind Energy Systems

Mohamed A. Ahmed, Chul-Hwan Kim
2017 Applied Sciences  
The architecture of the WF communication network is switch-based, consisting of ethernet switches and communication links in every wind turbine.  ...  The network configuration is based on point-to-point communication and a local area network (LAN).  ...  We developed a communication network model for the WF based on the OPNET Modeler. The network architecture was modeled based on IEC 61400-25 and IEC 61850 standards.  ... 
doi:10.3390/app7101034 fatcat:wlddmc2r3vdnfprvdessztlig4

A Review of Graph Neural Networks and Their Applications in Power Systems [article]

Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Yuelong Wang, Yusen Wang
2021 arXiv   pre-print
The complexity of graph-structured data has brought significant challenges to the existing deep neural networks defined in Euclidean domains.  ...  Specifically, several classical paradigms of GNNs structures (e.g., graph convolutional networks) are summarized, and key applications in power systems, such as fault scenario application, time series  ...  Fault location Traditional methods of fault location for distribution networks mainly include voltage sag-based methods, impedance-based methods, traveling wave-based methods, and auto-mated outage mapping  ... 
arXiv:2101.10025v2 fatcat:6sptisxciza45kx67ah3xwww4i

A Review of Information Fusion Methods for Gas Turbine Diagnostics

Valentina Zaccaria, Moksadur Rahman, Ioanna Aslanidou, Konstantinos Kyprianidis
2019 Sustainability  
Detecting and isolating faults in a system is a complex problem with many uncertainties, including the integrity of available information.  ...  The correct and early detection of incipient faults or severe degradation phenomena in gas turbine systems is essential for safe and cost-effective operations.  ...  Figure 1 . 1 Outline of a multi-source information fusion tool based on a Bayesian network. Figure 1 . 1 Outline of a multi-source information fusion tool based on a Bayesian network.  ... 
doi:10.3390/su11226202 fatcat:kry6gcqnobbtdeuti4kezied7y

A Review of Graph Neural Networks and Their Applications in Power Systems

Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Yuelong Wang, Yusen Wang
2022 Journal of Modern Power Systems and Clean Energy  
The complexity of graph-structured data has brought significant challenges to the existing deep neural networks defined in Euclidean domains.  ...  and interdependency among nodes.  ...  In contrast, spatial-based GCNs perform graph convolutional operations locally on each node, and the weights of networks can be easily shared across different locations.  ... 
doi:10.35833/mpce.2021.000058 fatcat:nbzvs2tskjgpni53fn4h6k5y3i

Reliability Modeling and Evaluation of Urban Multi-energy Systems: A Review of the State of the Art and Future Challenges

Jun He, ZhiJun Yuan, XiaoLing Yang, WenTao Huang, YiCong Tu, Yi Li
2020 IEEE Access  
such as multi-energy source modeling, complex uncertainty factor modeling, mutual influence of information and physical coupling.  ...  Various subsystems involved in the coupling of UMESs, including power grids, gas pipeline networks, cold/heat networks, transportation networks, and energy cyber-physical system, exhibit coupling characteristics  ...  The influence of the cascade fault effect was studied based on seepage theory, revealing a detailed mathematical analysis of fault propagation in CPSs.  ... 
doi:10.1109/access.2020.2996708 fatcat:r44k26kllngvbpptgjyg5lgkk4

A Review of Classification Problems and Algorithms in Renewable Energy Applications

María Pérez-Ortiz, Silvia Jiménez-Fernández, Pedro Gutiérrez, Enrique Alexandre, César Hervás-Martínez, Sancho Salcedo-Sanz
2016 Energies  
The paper also provides a comprehensive literature review and discussion on different classification techniques in specific RE problems, including wind speed/power prediction, fault diagnosis in RE systems  ...  Classification problems and their corresponding solving approaches constitute one of the fields of machine learning.  ...  Classification Problems and Algorithms in Fault Diagnosis in RE-Related Systems Like other complex and heterogeneous systems, wind turbines are subject to the occurrence of faults that can affect both  ... 
doi:10.3390/en9080607 fatcat:vnziyrf3d5elbiizh6bfqxsoiy
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