Info
AI for Power Electronics and Renewable Energy Systems
| AI for Power Electronics and Renewable Energy Systems |
| Autore | Hu Weihao |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Stevenage : , : Institution of Engineering & Technology, , 2024 |
| Descrizione fisica | 1 online resource (345 pages) |
| Disciplina | 621.31028563 |
| Altri autori (Persone) |
ZhangGouzhou
ZhangZhenyuan AbulanwarSayed BlaabjergFrede |
| Collana | Energy Engineering Series |
| Soggetto topico |
Artificial intelligence
Renewable energy sources |
| ISBN |
1-83724-364-6
1-5231-6316-X 1-83953-775-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Contents -- About the authors -- 1. Introduction to AI in power system | Weihao Hu, Guozhou Zhang, Zhenyuan Zhang, Sayed Abulanwar and Frede Blaabjerg -- 2. Artificial intelligence for electric machine fault diagnosis | Weihao Hu, Guozhou Zhang, Zhenyuan Zhang, Sayed Abulanwar and Frede Blaabjerg -- 3. Artificial intelligence in power electronic reliability, design, and control | Shuai Zhao, Yi Zhang and Frede Blaabjerg -- 4. Application of artificial intelligence in dual-active-bridge (DAB) converters | Weihao Hu, Guozhou Zhang, Zhenyuan Zhang, Sayed Abulanwar and Frede Blaabjerg -- 5. An active distribution network voltage control using artificial intelligence | Weihao Hu, Guozhou Zhang, Zhenyuan Zhang, Sayed Abulanwar and Frede Blaabjerg -- 6. Energy management of hybrid systems using artificial intelligence | Weihao Hu, Guozhou Zhang, Zhenyuan Zhang, Sayed Abulanwar and Frede Blaabjerg -- 7. Artificial intelligence in energy management of microgrid | Weihao Hu, Guozhou Zhang, Zhenyuan Zhang, Sayed Abulanwar and Frede Blaabjerg -- 8. Artificial intelligence in renewable energy systems small signal stability control | Weihao Hu, Guozhou Zhang, Zhenyuan Zhang, Sayed Abulanwar and Frede Blaabjerg -- 9. Conclusions and outlook using AI in power systems | Weihao Hu, Guozhou Zhang, Zhenyuan Zhang, Sayed Abulanwar and Frede Blaabjerg -- Index. |
| Record Nr. | UNINA-9911006683003321 |
Hu Weihao
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| Stevenage : , : Institution of Engineering & Technology, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Application of Machine Learning and Deep Learning Methods to Power System Problems / / edited by Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi
| Application of Machine Learning and Deep Learning Methods to Power System Problems / / edited by Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (390 pages) |
| Disciplina | 621.31028563 |
| Collana | Power Systems |
| Soggetto topico |
Electric power distribution
Electric power production Machine learning Energy policy Energy Grids and Networks Electrical Power Engineering Machine Learning Energy Policy, Economics and Management |
| ISBN | 3-030-77696-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Power System Challenges and Issues -- Chapter 2. Introduction and literature review of power system challenges and issues -- Chapter 3. Machine learning and power system planning: opportunities, and challenges -- Chapter 4. Introduction to Machine Learning Methods in Energy Engineering -- Chapter 5. Introduction and Literature Review of the Application of Machine Learning/Deep Learning to Control Problems of Power Systems -- Chapter 6. Introduction and literature review of the application of machine learning/deep learning to load forecasting in power system -- Chapter 7. A Survey of Recent particle swarm optimization (PSO)-Based Clustering Approaches to Energy Efficiency in Wireless Sensor Networks -- Chapter 8. Clustering in Power Systems Using Innovative Machine Learning/Deep Learning Methods -- Chapter 9. Voltage stability assessment in power grids using novel machine learning-based methods -- Chapter 10. Evaluation and Classification of cascading failure occurrence potential dueto line outage -- Chapter 11. LSTM-Assisted Heating Energy Demand Management in Residential Buildings -- Chapter 12. Wind Speed Forecasting Using Innovative Regression Applications of Machine Learning Techniques -- Chapter 13. Effective Load Pattern Classification by Processing the Smart Meter Data Based on Event-Driven Processing and Machine Learning -- Chapter 14. Prediction of Out-of-step Condition for Synchronous Generators Using Decision Tree Based on the Dynamic data by WAMS/PMU -- Chapter 15. The adaptive neuro-fuzzy inference system model for short-term load, price and topology forecasting of distribution system -- Chapter 16. Application of Machine Learning for Predicting User Preferences in Optimal Scheduling of Smart Appliances -- Chapter 17. Machine Learning Approaches in a Real Power System and Power Markets. |
| Record Nr. | UNINA-9910506407703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Power Engineering and Intelligent Systems : Proceedings of PEIS 2024, Volume 2 / / edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi
| Power Engineering and Intelligent Systems : Proceedings of PEIS 2024, Volume 2 / / edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi |
| Autore | Shrivastava Vivek |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (531 pages) |
| Disciplina | 621.31028563 |
| Altri autori (Persone) |
BansalJagdish Chand
PanigrahiB. K |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Electric power production Electric machinery Artificial intelligence Computational Intelligence Electrical Power Engineering Electrical Machines Artificial Intelligence |
| ISBN |
9789819767144
9819767148 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Study of the Optimal Sizing of Battery Energy Storage Systems for Microgrid Applications -- Chapter 2: Integrated State of Charge and State of Health Method for Operating Range Prediction in Electric Vehicles -- Chapter 3: Crime Prediction Using Ensemble Machine Learning Approach -- Chapter 4: Gated Recurrent Unit with Attention mechanism for IC50 Prediction model using Amyotrophic Lateral Sclerosis Related Proteins -- Chapter 5: Exploring Echo State Network for Detection of Gait Freezing in Parkinson's Patients Optimized through Modified Metaheuristics -- Chapter 6: Computer Vision-Based Self-Inflicted Violence Detection in High-Rise Environments using Deep Learning -- Chapter 7: Two Sliding Mode Control Strategies for Maglev Systems with Help of Kalman Filter -- Chapter 8: A Deep Learning Framework on Embedded ADAS Platform for Lane and Road Detection -- Chapter 9: Innovative Convolutional Neural Network Approach to Enhance Real-Time Face Recognition Accuracy -- Chapter 10: Tomato Plant Leaf Disease Prediction and Suggestion Using Deep Learning. etc. |
| Record Nr. | UNINA-9910917197403321 |
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Shrivastava Vivek
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soft Computing Applications in Modern Power and Energy Systems : Select Proceedings of EPREC 2023, Volume 4 / / edited by Om Hari Gupta, Narayana Prasad Padhy, Sukumar Kamalasadan
| Soft Computing Applications in Modern Power and Energy Systems : Select Proceedings of EPREC 2023, Volume 4 / / edited by Om Hari Gupta, Narayana Prasad Padhy, Sukumar Kamalasadan |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (361 pages) |
| Disciplina | 621.31028563 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computer engineering
Computer networks Electric power distribution Electric power production Energy policy Computer Engineering and Networks Energy Grids and Networks Electrical Power Engineering Energy Policy, Economics and Management |
| ISBN | 981-9980-07-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- About the Editors -- Coordinated Design of Damping Controllers for Power System Stability -- 1 Introduction -- 2 System Description -- 2.1 SMIB System -- 2.2 Power System Stabilizer (PSS) -- 2.3 Static Synchronous Series Compensator (SSSC) -- 3 Problem Formulation -- 4 Proposed Method -- 5 Results and Discussions -- 5.1 Nominal Loading (NL) Condition -- 5.2 Light Loading (LL) Condition -- 5.3 Heavy Loading (HL) Condition -- 6 Conclusion -- References -- The Effect of Electric Vehicle Charging Stations on Distribution Systems While Minimizing the Placement Cost and Maximizing Voltage Stability Index -- 1 Introduction -- 2 Objective Problem Formulation -- 2.1 Objective Function 1 -- 2.2 Objective Function 2 -- 2.3 Constraint Used -- 3 Optimization Technique Used -- 4 Numerical Analysis -- 5 Conclusion -- References -- SFO Based Economic Load Dispatch with FACTS Devices for DC Link Placement Problem -- 1 Introduction -- 2 Problem Statement with FACTS Devices and Solution Process -- 2.1 Representation of Decision Variables -- 3 Results and Discussions -- 4 Summary and Future Research -- References -- Selection of Batteries for Electric Vehicle Applications -- 1 Introduction -- 2 Methodology -- 2.1 For Charging -- 2.2 For Discharging -- 3 Battery Specifications -- 4 Results and Discussion -- 5 Conclusion -- References -- Issues and Solutions for Optimum Overcurrent Relays Co-Ordination in Medium Voltage Radial Distribution System -- 1 Introduction -- 2 Problem Formulation -- 2.1 Constraint Set I-Coordination Criteria -- 2.2 Constraint Set II-Bounds on Relay Operating Time -- 2.3 Constraint Set III-Bounds on the TMS of Relays -- 2.4 Constraint Set IV-Bounds on the Plug Setting (PS) of Relays -- 2.5 Constraint Set V-Relay Characteristic -- 3 Distribution Network -- 4 Results and Discussions -- 5 Conclusion -- References.
Powering Electric Vehicles with Solar Panels with Both the G2V and V2G Charging Modes -- 1 Introduction -- 2 History of Electric Vehicle Technologies -- 2.1 EV's Developing History -- 2.2 Battery -- 2.3 PV System -- 3 EV Circuit Configuration and Design -- 4 Simulation Results and Discussions -- 4.1 Mode 1: Solar PV Used for Charge the EV Battery and Supply the DC Load -- 4.2 Mode 2: Grid to Vehicle Mode with Solar PV -- 4.3 Mode 3: Vehicle to Grid Mode with Solar PV -- 5 Conclusion -- References -- Ultrasonic Analysis of Lorentz Force for Gas Density Monitoring Using EMAT Sensor -- 1 Introduction -- 2 Methodology -- 2.1 Mathematical Model -- 2.2 Geometric Analysis for Designing the Sensor -- 2.3 Generation of Eddy Current from Coil -- 2.4 Simulation of Dynamic Characteristics of the EMAT -- 3 Results -- 3.1 Quantitative Analysis of the Simulated Sensor -- 3.2 Parametric Analysis -- 4 Discussion -- 5 Conclusion -- References -- WSN Based Energy-Efficient Protocols for Smart Grid: A State-of-Art Review -- 1 Introduction -- 2 Energy Efficiency -- 3 Routing Protocol -- 4 Literature Review -- 4.1 LEACH: Low Energy Adaptive Cluster Head Protocol -- 4.2 PEGASIS: Power Efficient Gathering in Sensor Information System -- 4.3 TEEN: Threshold Sensitive Energy Efficient Sensor Network Protocol -- 4.4 APTEEN: Adaptive Periodic Threshold Energy Efficient Network Protocol -- 4.5 Energy Efficient Distributing Clustering -- 4.6 Additional Cluster Based Protocols Network -- 5 Conclusion -- References -- Wireless Sensor Network for Condition Monitoring of Axel Counter Device in Railways -- 1 Introduction -- 2 Requirements for Remote Supervision -- 3 Literature Review on Condition Monitoring -- 4 Basic Working Principle of an Axel Counter -- 5 Proposed Architecture Wireless Sensor Network -- 6 Advantages of Proposed System -- 6.1 Low Construction Cost. 6.2 Error Free Signalling Data -- 6.3 Low Down Time of Train -- 6.4 Low Demand of Block Period -- 6.5 Energy Efficient system -- 6.6 Ease of Installation and Maintenance -- 7 Conclusion -- References -- PID Based Optimal Neural Control of Single Wheel Robot (SWR) -- 1 Introduction -- 2 Mathematical Model and Simulink of SWR -- 3 Designing of PID Based ANN Controller for SWR -- 4 Results and Comparison -- 5 Conclusion -- References -- Impact of Instrument Transformer Secondary Connections on Performance of Protection System-Analysis of Field Events from Indian Power Sector -- 1 Introduction -- 2 Fundamental Concepts and Review of Relevant IEEE Standards -- 2.1 Neutral Connection and Grounding of Instrument Transformer Secondary Circuits -- 2.2 Cable Selection for Instrument Transformer Connection -- 3 Commissioning and Retrofitting Philosophies of Powergrid -- 4 Analysis of Field Events -- 4.1 Problem in VT Selection Relay Leads to Tripping of Bus Reactor -- 4.2 400/220 kV 500MVA Auto Transformer Tripped on Differential Protection After Closing of Tie Circuit Breaker of HV Side -- 4.3 Line Tripped on Single Line to Ground Fault but the Phase to Neutral Voltage Were not the True Representation of Single Line to Ground Fault -- 4.4 Line Tripped on Operation of Over-Voltage During Planned Bus Shutdown at 765 kV Substation Due to Wiring Error. -- 4.5 Line Tripped Due to Faulty CT Cable on Detection of Phase-To-Phase Fault in the Distance Relay During Phase to Ground Fault on the Transmission Line -- 4.6 Auto Transformer Tripped on Operation of REF Protection Due to Damaged CT Lug -- 4.7 Auto Transformer Tripped on Operation of Differential Protection Due to Incorrect CT Ratio -- 4.8 Shunt Reactor Tripped on Operation of REF Protection Due to Problem in CT Wiring. 4.9 Incorrect Direction Determination by Directional Overcurrent Protection Because of Missing CVT Neutral and Leads to Tripping of Auto Transformer -- 4.10 Phase-phase Fault in One of the 400 kV Line, One Out of the Two Protection Relay Declares Fuse Fail and Blocked the Distance Protection. The Problem was Due to Multiple Grounding of CVT Secondaries at Switchyard MB as well as at relay/control Panel -- 5 Instrument Transformer Secondary Connection and Cvt Transients -- 6 Conclusion -- References -- Reducing the Burden on the Utility Grid by Implementing the Demand Response Strategy with Home Loads and Solar PV Using TLBO Technique -- 1 Introduction -- 2 Home Load Energy Management System Model -- 2.1 Home Appliances -- 2.2 Solar Photo-Voltaic -- 3 Problem Formulation -- 4 Teaching Learning Based Optimization (TLBO) for HLEM -- 5 Results and Discussion -- 5.1 Scheduling with Traditional Structure -- 5.2 Scheduling with TLBO Optimization -- 6 Conclusion -- References -- Automatic Generation Control of Multi Area Power Systems Using BELBIC -- 1 Introduction -- 2 Mathematical Modelling of LFC -- 3 Concepts for Designing a Control System -- 4 Research Gaps and Challenges -- 4.1 Improvement of AI Optimization Techniques Over Conventional PI Controllers -- 5 Proposed Control Strategy -- 5.1 BELBIC Controller -- 6 Simulation Results and Discussion -- 7 Conclusion -- References -- Chaotic Quasi-Oppositional Differential Search Algorithm for Transient Stability Constraint Optimal Power Flow Problem -- 1 Introduction -- 2 Formulation of Mathematical Problems -- 2.1 Objective Function -- 2.2 Transient Stability Assessment -- 2.3 Constraints -- 3 Differential Search Algorithm (DSA) -- 3.1 Inspiration of DSA -- 3.2 Modelling of DSA Mathematically -- 4 Quasi-Oppositional Based Learning (Q-OBL) -- 4.1 Opposite Numbers -- 4.2 Opposite Pointing. 4.3 Quasi-Opposite Number and Quasi-Opposite Point -- 4.4 Chaotic DSA -- 5 CQODSA Steps for OPF Problem -- 6 Simulation Results and Discussions -- 6.1 Test System-I (WSCC 3-Machine 9-Bus System) -- 6.2 Test System II (New England 10-Machine 39-Bus System) -- 7 Conclusion -- References -- Chaotic Quasi-Oppositional Moth Flame Optimization for Radial Distribution Network Reconfiguration with DG Allocation -- 1 Introduction -- 2 Mathematical Formulation -- 2.1 Intended Purpose -- 2.2 Modelling of Load -- 2.3 Constraints -- 3 Optimization Technique -- 3.1 Moth Flame Optimization -- 3.2 Quasi-Oppositional Based Learning -- 4 Chaotic Moth Flame -- 5 CQOMFO Applied to Reconfiguration Problem Along with DG -- 6 Results -- 6.1 Radial Distribution Network 33-Bus Demonstration -- 6.2 69-Bus Test Radial Distribution Network -- 7 Conclusion -- References -- Global Horizontal Irradiance Prediction Using Clustering and Artificial Neural Network -- 1 Introduction -- 2 Methodology -- 2.1 Problem Formulation -- 2.2 Artificial Neural Network (ANN) -- 2.3 Performance Metrics -- 3 Experiment -- 3.1 Data Description -- 3.2 Correlation Between Parameters -- 3.3 Seasonality -- 3.4 Data Pre-processing -- 4 Results and Discussion -- 5 Conclusion -- References -- Optimal Co-Ordination of Directional Overcurrent Relays in Distribution Network Using Whale Optimization Algorithm -- 1 Introduction -- 2 Optimization Problem Formulation -- 2.1 Objective Function -- 2.2 Constraints -- 2.3 Modified Objective Function -- 3 Whale Optimization Algorithm (WOA) -- 3.1 Prey Encircling -- 3.2 Bubble-Net Attacking -- 3.3 Prey Search -- 4 Results and Discussions -- 4.1 Case-1: 3-Bus Test Model -- 4.2 Case-2: 9-Bus Test Model -- 4.3 Case-3: 30-Bus Test Model -- 4.4 Discussions -- 5 Conclusions -- References. Optimization and Comparative Analysis of Hybrid Renewable Energy Generation (Solar-Wind-Biomass) Using HOMER. |
| Record Nr. | UNINA-9910838280303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||