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Advancement in Power Transformer Infrastructure and Digital Protection / / by Nilesh Chothani, Maulik Raichura, Dharmesh Patel
| Advancement in Power Transformer Infrastructure and Digital Protection / / by Nilesh Chothani, Maulik Raichura, Dharmesh Patel |
| Autore | Chothani Nilesh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (331 pages) |
| Disciplina | 621.381044 |
| Altri autori (Persone) |
RaichuraMaulik
PatelDharmesh |
| Collana | Studies in Infrastructure and Control |
| Soggetto topico |
Power electronics
Artificial intelligence Power Electronics Artificial Intelligence Intelligence Infrastructure |
| ISBN | 981-9938-70-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Key Features of the Book -- Contents -- About the Authors -- Abbreviations -- List of Figures -- List of Tables -- 1 Transformer Infrastructure for Power Grid -- 1.1 Introduction -- 1.2 Role of Large Power Transformers in the Electric Grid -- 1.3 Power System Infrastructure -- 1.4 Three-Phase Transformer Interconnections -- 1.5 Transformer Technology Development -- 1.5.1 Design Technology -- 1.5.2 Testing of Transformer -- 1.6 On-Load Tap Changer (OLTC) of Transformer -- 1.6.1 Where to Employ the OLTC on Transformer -- 1.6.2 Classification of OLTC Based on Its Construction -- 1.6.3 Advantages of OLTCs -- 1.6.4 Disadvantages of OLTCs -- 1.7 Dissolved Gas Analysis for Transformer Monitoring and Protection -- 1.7.1 How Gases Generated in Transformer -- 1.7.2 Identification of Faults by Gas Analysis -- 1.7.3 Methods for DGA -- 1.7.4 Advantages of Performing DGA -- 1.8 Condition Monitoring of the Transformer -- 1.8.1 Working Condition Monitoring -- 1.8.2 Emergency Condition Monitoring -- 1.9 Real-Time Operation and Protection of Power Transformer -- 1.10 Smart Transformer for Smart Grid Operation -- 1.11 Advanced Transformer Infrastructure (ATI)-Various Benefits -- 1.12 Conclusion -- References -- 2 An Overview of the Protection of Power Transformers -- 2.1 Protection Basics -- 2.1.1 Unit and Non-unit Protection -- 2.1.2 Primary and Backup Protection -- 2.2 Problem Statements and Basics -- 2.3 Investigation Targets -- 2.4 Introduction -- 2.5 Different Faults/Abnormalities Observed in Transformer -- 2.5.1 Internal Fault -- 2.5.2 Sources of Internal Fault in Transformer -- 2.6 External Fault for the Transformer -- 2.7 Abnormalities in the Transformer -- 2.8 Different Transformer Protective Schemes Used in Field -- 2.8.1 Overcurrent (OC) Protection.
2.8.2 OC (Overcurrent) Protection with Harmonic Restrain Unit (HRU) -- 2.8.3 REF (Restricted Earth Fault) Protective Scheme -- 2.8.4 Unit-Type Protection of Transformer (Differential Protection) -- 2.9 General Magnetizing Inrush Phenomenon -- 2.10 Over-Fluxing Condition -- 2.11 Inter-Turn Fault Protection -- 2.12 Non-electrical Protection -- 2.12.1 Thermal Relay -- 2.12.2 Temperature-Based OTI and WTI Relays -- 2.12.3 Buchholz Relay -- 2.12.4 Pressure Relays (PRs) -- 2.13 Generalized Protections Applied to Transformer -- 2.14 Adverse Effect of Single Phasing on Three-Phase Transformer -- 2.14.1 Basic Magnetic Circuit -- 2.14.2 Observation and Confirmation of the Theoretical Approach -- 2.14.3 Remarks of Single Phasing Supply to Three-Phase Transformer -- 2.15 Different Research Techniques Used in Transformer Protection -- 2.16 Examples -- 2.17 Conclusion -- References -- 3 Introduction to Magnetic Inrush of Power Transformer -- 3.1 Basic of Magnetic Inrush -- 3.2 Various Classifier Techniques to Identify Inrush States -- 3.2.1 Discriminative Technique Depending on Harmonics Content (Which Contains DC Offset) -- 3.2.2 Electrical Quantity's Wave Pattern-Based Techniques -- 3.2.3 Discriminative and Decomposing Schemes -- 3.2.4 Morphological-Based Analysis -- 3.2.5 Power Utilization-Dependent Techniques -- 3.2.6 Flux-Based Methodologies -- 3.2.7 Methodology for Mitigation of Level of Inrush Current -- 3.3 The Proposed Technique for Inrush Stimuli Discrimination -- 3.4 System Modeling -- 3.5 Anticipated Algorithm -- 3.6 Obtained Results Discussion -- 3.7 Magnetic Inrush Case -- 3.8 Interior Type of Fault Case -- 3.9 Interior Type of Fault Followed by Inrush Case -- 3.10 Conclusion -- 3.11 Question and Answer -- Appendices -- Appendix 1 -- Appendix 2 -- References -- 4 Current Transformer Infrastructure and Its Application to Power System Protection. 4.1 Basic of Current Transformer (CT) -- 4.2 Design Consideration of Current Transformer -- 4.2.1 Over-Sizing Factors of CT -- 4.3 Diminishing the Effects of CT Saturation -- 4.3.1 Time-to-Saturation -- 4.3.2 Required Caution in CT Optimal Choice -- 4.4 Consequences of CT Saturation on Protective Relays -- 4.4.1 Impact of CT Saturation on Electromechanical Relays -- 4.4.2 Impact of CT Saturation on Static/Digital Relays -- 4.4.3 Influence of CT Saturation on Differential Relays -- 4.5 Important Points to Select CTs for Protective Schemes -- 4.6 System Diagram and Parameters -- 4.7 Effect of Parameter Variations on CT Performance -- 4.7.1 Consideration of Core Over-Sizing Factors at FIA = 0.515 -- 4.7.2 Effect of DC Component -- 4.7.3 CT Secondary Burden Effect on Saturation -- 4.7.4 CT Saturation Effect Under the Influence of the Remnant Flux Density -- 4.7.5 Effect of FIA Variation on CT -- 4.8 CT Saturation Analysis in Laboratory Prototype -- 4.9 Detection of Saturation of CT in Unit-Type Protection of Power Transformer -- 4.9.1 Simulation Modeling of Power System -- 4.9.2 Projected Approach -- 4.10 Result Analysis -- 4.10.1 Internal Fault -- 4.10.2 External Fault Without CT Saturation -- 4.10.3 External Fault with CT Saturation -- 4.11 Conclusion -- Appendices -- Appendix 1 -- Appendix 2 -- References -- 5 Impact of Transitory Excessive Fluxing Condition on Power Transformer Protection -- 5.1 Introduction -- 5.2 Modeling of System Diagram -- 5.3 Problem Declaration and Algorithm Suggestion -- 5.4 Investigation of the Obtained Results -- 5.4.1 Performance Evaluation of the Projected Scheme for the Period of Normal State/Exterior Fault State of the Transformer -- 5.4.2 Performance Evaluation of the Projected Scheme While Insider Fault State of the Transformer. 5.4.3 Performance Evaluation of the Projected Scheme for Excessive Fluxing State of the Considered Transformer -- 5.5 Elaboration of Hardware Arrangement and Result Conversation -- 5.5.1 Current Wave Pattern While Interior Fault Case of Transformer -- 5.5.2 Current Wave Pattern While Exterior Fault Case of the Transformer -- 5.5.3 Current Wave Pattern While Continuous and Temporary Excessive Fluxing State of the Considered Transformer -- 5.6 Advantages of the Presented Scheme Over the Conventional Scheme -- 5.7 Conclusion -- 5.8 Question and Answer -- References -- 6 Total Harmonic Distortion-Based Improved Transformer Protective Scheme -- 6.1 Introduction -- 6.2 Modeling of Power Structure -- 6.3 Presented Technique for Inrush and Fault Discrimination -- 6.4 The Outcome of the Proposed Technique -- 6.4.1 Initial Inrush -- 6.4.2 Internal Fault Condition -- 6.4.3 Energization of Transformer in Existence of Faulty Condition -- 6.4.4 Fault Case While CT Saturates -- 6.5 Hardware Test Arrangement for Different Result Investigation -- 6.5.1 Preliminary Inrush Situation -- 6.5.2 Sympathetic Type of Inrush Condition -- 6.5.3 Recovery Type of Inrush Condition -- 6.5.4 Exterior Fault Cases -- 6.5.5 Exterior Fault with CT Saturation Cases -- 6.5.6 Interior Fault Case -- 6.5.7 Interior Fault While CTs Saturates -- 6.5.8 No-load Current with Its Harmonics -- 6.6 Conclusion -- 6.7 Question and Answer -- References -- 7 Adaptive Biased Differential Protection Considering Over-Fluxing and CT Saturation Conditions -- 7.1 The Preamble of Idea Generation -- 7.2 Problem Declaration and System Diagram Descriptions -- 7.3 Projected Algorithm for Adaptive Transformer Differential Protection -- 7.3.1 Modified Full Cycle DFT (MFCDFT) Algorithm for Phasor Estimation -- 7.3.2 Setting of Biased Percentage Differential Relaying Scheme. 7.3.3 Detection of Magnetizing Inrush in Transformer -- 7.3.4 Adaptation in Basic Pickup Setting -- 7.3.5 Vavg/f Transformer Protection or Transformer Over-Fluxing Protection -- 7.3.6 Current Transformer Saturation Detection -- 7.4 Various Result Exploration with Argument -- 7.4.1 Normal Load, Overloading, and External Fault State -- 7.4.2 Transformer Inrush Detection -- 7.4.3 A Fault Within the Internal Premises of the Transformer -- 7.4.4 External Fault with CT Saturation Condition -- 7.4.5 Discrimination of Over-Fluxing in Transformer Protection -- 7.4.6 Inception of Internal Fault in the Existence of Over-Fluxing Situation -- 7.5 Laboratory Setup for Hardware Test Results -- 7.5.1 The Inrush of Transformer on Hardware -- 7.5.2 Normal Load, Overloading, and External Fault Situation -- 7.5.3 Internal Fault Situation -- 7.5.4 Over-Fluxing Situation -- 7.5.5 Saturation of CT During External Fault -- 7.5.6 Very Severe External Fault in the Existence of Over-Fluxing Condition -- 7.6 Conclusion -- 7.7 Question and Answer -- Appendix -- References -- 8 Convolution Neural Network and XGBoost-Based Fault Identification in Power Transformer -- 8.1 Brief Introduction About the Work -- 8.2 Combined CNN-XGBoost Technique -- 8.2.1 Convolutional Neural Network (CNN) -- 8.2.2 Extreme Gradient Boosting (XGBoost) -- 8.3 Power System Network -- 8.3.1 Training and Testing Data Generation -- 8.4 Algorithm of the Proposed XGBoost Scheme -- 8.4.1 Parameter Setting in Algorithm -- 8.5 Result in Discussion on Fault Classification -- 8.6 Hardware Setup for Various Result Analyses -- 8.7 Conclusion -- 8.8 Questions and Answers -- Appendices -- Appendix 1 -- Appendix 2 -- References -- 9 Sequential Component-Based Improvement in Percentage Biased Differential Protection of a Power Transformer -- 9.1 Introduction. 9.2 Projected Transformer Differential Protection Performance. |
| Record Nr. | UNINA-9910736015703321 |
Chothani Nilesh
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metaverse: Concept, Content and Context [[electronic resource] /] / by Shenghui Cheng
| Metaverse: Concept, Content and Context [[electronic resource] /] / by Shenghui Cheng |
| Autore | Cheng Shenghui |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (230 pages) |
| Disciplina | 004.6 |
| Soggetto topico |
Computer graphics
Virtual reality Augmented reality Blockchains (Databases) Artificial intelligence Computer Graphics Virtual and Augmented Reality Blockchain Intelligence Infrastructure |
| ISBN | 3-031-24359-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- About the Author -- Acknowledgments -- List of Figures -- Acronyms -- 1. Metaverse -- 2 Metaverse,Web 3.0,Big Data and AI -- 3 Metaverse and Immersive Interaction Technology -- 4 Metaverse and Blockchain -- 5 Metaverse and Social View -- 6 Asset View of the Metaverse -- 7 Metaverse Security -- 8 Metaverse and Law -- 9 Metaverse and Investing -- 10 The Future of the Metaverse -- Index. |
| Record Nr. | UNISA-996546831903316 |
|
Cheng Shenghui
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Metaverse: Concept, Content and Context / / by Shenghui Cheng
| Metaverse: Concept, Content and Context / / by Shenghui Cheng |
| Autore | Cheng Shenghui |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (230 pages) |
| Disciplina | 004.6 |
| Soggetto topico |
Computer graphics
Virtual reality Augmented reality Blockchains (Databases) Artificial intelligence Computer Graphics Virtual and Augmented Reality Blockchain Intelligence Infrastructure |
| ISBN | 3-031-24359-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- About the Author -- Acknowledgments -- List of Figures -- Acronyms -- 1. Metaverse -- 2 Metaverse,Web 3.0,Big Data and AI -- 3 Metaverse and Immersive Interaction Technology -- 4 Metaverse and Blockchain -- 5 Metaverse and Social View -- 6 Asset View of the Metaverse -- 7 Metaverse Security -- 8 Metaverse and Law -- 9 Metaverse and Investing -- 10 The Future of the Metaverse -- Index. |
| Record Nr. | UNINA-9910734900703321 |
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Cheng Shenghui
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Objective Information Theory [[electronic resource] /] / by Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang
| Objective Information Theory [[electronic resource] /] / by Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang |
| Autore | Xu Jianfeng |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XI, 97 p. 1 illus.) |
| Disciplina | 005.7 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Information modeling
Artificial intelligence - Data processing Computer science Artificial intelligence Information Model Data Science Computer Science Intelligence Infrastructure Theory of Computation |
| ISBN | 981-19-9929-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Information Theory on Change to Reflection -- Chapter 2. Recognizing Objective Information. Chapter 3. Modelling Objective Information: Sextuple -- Chapter 4. Measuring Objective Information -- Chapter 5. Exemplifying Objective Information: Air Traffic Control System -- Chapter 6. Exemplifying Objective Information Theory: Smart Court. |
| Record Nr. | UNISA-996546837903316 |
|
Xu Jianfeng
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||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Objective Information Theory / / by Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang
| Objective Information Theory / / by Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang |
| Autore | Xu Jianfeng |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XI, 97 p. 1 illus.) |
| Disciplina | 005.7 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Information modeling
Artificial intelligence - Data processing Computer science Artificial intelligence Information Model Data Science Computer Science Intelligence Infrastructure Theory of Computation |
| ISBN | 981-19-9929-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Information Theory on Change to Reflection -- Chapter 2. Recognizing Objective Information. Chapter 3. Modelling Objective Information: Sextuple -- Chapter 4. Measuring Objective Information -- Chapter 5. Exemplifying Objective Information: Air Traffic Control System -- Chapter 6. Exemplifying Objective Information Theory: Smart Court. |
| Record Nr. | UNINA-9910684561203321 |
|
Xu Jianfeng
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||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Progressive and Integrative Ideas and Applications of Engineering Systems Under the Framework of IOT and AI : Proceedings of 2nd International Conference on Intelligent Systems Design and Engineering Applications / / edited by Yongsheng Ma
| Progressive and Integrative Ideas and Applications of Engineering Systems Under the Framework of IOT and AI : Proceedings of 2nd International Conference on Intelligent Systems Design and Engineering Applications / / edited by Yongsheng Ma |
| Autore | Ma Yongsheng |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (193 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Artificial intelligence
Engineering design Industrial engineering Production engineering Electric power distribution Computational intelligence Artificial Intelligence Engineering Design Industrial and Production Engineering Energy Grids and Networks Computational Intelligence Intelligence Infrastructure |
| ISBN | 981-9963-03-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Forward -- Preface -- Conference -- Committees -- Part I Theory and Application of Artificial Intelligence Technologies in Industry -- Part II System Design and Data Analysis within the Context of Internet of Things (IOT) -- Part III System Automation, Control, and Robots -- Part IV Smart Product Design and Integrated Manufacturing -- Part V Sensors, Transducers and detection technology -- Index. |
| Record Nr. | UNINA-9910760279203321 |
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Ma Yongsheng
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainability : Cases and Studies in Using Operations Research and Management Science Methods / / edited by Fausto Pedro García Márquez, Benjamin Lev
| Sustainability : Cases and Studies in Using Operations Research and Management Science Methods / / edited by Fausto Pedro García Márquez, Benjamin Lev |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (453 pages) |
| Disciplina | 741.674 |
| Collana | International Series in Operations Research & Management Science |
| Soggetto topico |
Sustainability
Production management Operations research Business logistics Artificial intelligence Operations Management Operations Research and Decision Theory Supply Chain Management Production Intelligence Infrastructure |
| ISBN | 3-031-16620-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sustainability. Cases and Studies in Using Operations Research and Management Science Methods -- What is Sustainability? A Layman Perspective -- Sustainable Supply Chain Management: Definition, Bibliometrics, Applications and Future Directions -- Applications of Machine Learning Algorithms in Data Sciences -- The machine learning model for identifying bogus profiles in social networking sites -- Support Vector Machine and K-fold cross validation to detect false alarms in wind turbines -- A Hybrid Neural Network Model Based on Convolutional Cascade Neural Networks: An Application for Image Inspection in Production -- A multi-objective sustainable traffic signal control for smart cities under uncertainty -- Multi Criteria Decision Making for Sustainable Transport: A Case Study on Traffic Flow Prediction Using Spatial-Temporal Traffic Sequence -- A Robust Prognostic Indicator for Renewable Energy Fuel Cells: A Hybrid Data-Driven Prediction Approach -- An Assessment of Electricity Markets in Turkey: Price Mechanisms, Regulations, and Methods -- The role of DevOps in Sustainable Enterprise Development -- Practices and indicators of waste and resource management in commercial buildings -- A descriptive comprehension study on solar energy, solar products, and solar product marketing in Indian context -- Precision Livestock Farming (PLF) Systems – Improving Sustainability and Efficiency of Animal Production -- Environmental Assessment of Rural Road Construction in India -- Perspectives on the sustainable steel production process: a critical review of the carbon dioxide (CO2) to methane (CH4) conversion process -- Exergy, Anergy and Sustainability -- Simulating complex relationships between pollutants and the environment using regression splines: A case study for landfill leachate. |
| Record Nr. | UNINA-9910644258103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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