
Energy Conversion: Methods, Technology and Future Directions
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Content
- Intro
- Contents
- Preface
- Acknowledgments
- List of Reviewers
- Chapter 1
- Photovoltaic Generators: Development, Simulation and Perspectives
- Abstract
- Introduction
- Principle of Photo-Electric Conversion
- Photovoltaic Conversion
- Different Photovoltaic Technologies
- Crystalline Silicon-Based Photovoltaic Modules
- High Efficiency Multi-Junction Cells
- New Photovoltaic Technologies
- Thin Film Technology
- Thin Film Silicon
- Non-Silicon Materials
- Thin Film Multi-Junctions
- Fundamental and Technological Losses in GPV
- Current Architecture of Commercial GPV
- Fill Factor of GPV
- Modeling and Simulation of GPV
- Ideal Model
- Two Parameter Models
- Five Parameter Models
- Two Diode Models
- Empirical SNL Model
- Thermal Model of GPV
- Conclusion
- References
- Chapter 2
- Performance Analysis of Solar Energy Conversion Technology
- Abstract
- Nomenclature
- Introduction
- Solar Thermal System
- Non-Concentrating Collectors
- Flat Plate Collector (FPC)
- Evacuated Tube Collector (ETC)
- Concentrating Collectors
- Linear Fresnel Reflector (LFR)
- Parabolic Trough Collector (PTC)
- Compound Parabolic Collector (CPC)
- Central Receiver (CR)
- Parabolic Dish Collector (PDC)
- Photovoltaic System
- Hybrid Solar System
- PV Air Collector
- System Description
- Thermal Modeling
- Opaque Type Photovoltaic-Thermoelectric Cooler with Air Duct
- PV Module of Opaque Type
- Tedlar
- TEC
- Duct
- Result and Discussion
- Conclusion
- Appendix
- References
- Chapter 3
- An Extended Study of Frequency-Supported Wind Energy Conversion Systems
- Abstract
- Nomenclature
- Introduction
- Literature Review
- Wind Energy Conversion System (WECS)
- Dynamics of WTG
- Operating Regions and MPPT Used for WECS
- Tip-Speed-Ratio (TSR) Algorithm
- Result and Discussion
- Scenario 1
- Scenario 2
- Conclusion
- Acknowledgments
- References
- Chapter 4
- RERNN-BCMO-Based Load Frequency Control in Multi-Area Power Systems Using Hybrid Renewable Energy Sources
- Abstract
- Introduction
- Multi-Area Power System for LFC
- Problem Formulation
- Proposed Approach
- Recalling-Enhanced Recurrent Neural Network (RERNN)
- Step 1: Initialization
- Step 2: Random Generation
- Step 3: Fitness Function
- Step 4: Check the Iteration
- Step 5: Find the Learning Rate
- Step 6: Calculation of New Weight
- Step 7: Calculate the Direction
- Step 8: Termination
- Processing Steps of Balancing Composite Motion Optimization (BCMO)
- Step 1: Initialization
- Step 2: Random Generation
- Step 3: Fitness Function
- Step 4: Finding Instant Global Point
- Step 5: Selection
- Step 6: Updation
- Step 7: Termination
- Result and Discussion
- Conclusion
- References
- Chapter 5
- A Review on State-of-the-Art Wind Energy Conversion Systems and Associated Control Strategies for Normal and Fault Conditions
- Abstract
- Introduction
- State-of-the-Art WECS
- WECS Control Aspects
- DFIG-Based WECS Control
- PMSG-Based WECS Control
- SCIG-Based WECS and Associated Controls
- Fault Ride-Through (FRT)
- DFIG-Based WECS with Partially Rated Converters
- Variable Speed WECS with Fully Rated Converters
- Findings and Research Gaps
- Conclusion
- References
- Chapter 6
- Simulation and Analysis of Three-Phase and Five-Phase Variable Speed PMSMs under Open Phase Fault Conditions
- Abstract
- Introduction
- Simulation of Three-Phase PMSM
- Analysis of Three-Phase PMSM
- Simulation of Five-Phase PMSM
- Analysis of Five-Phase PMSM
- Conclusion
- References
- Chapter 7
- Investigation and Mitigation of Distribution-Side Power Quality Issues
- Abstract
- Introduction
- Classification of Power Quality Problems
- Power Quality Standards
- Proposed Solutions to Power Quality Problems
- Power Quality Enhancement
- Active Power Filters for Mitigation of Distribution-Side Power Quality Problems
- Waveform Compensation
- Filter Based Method
- Heterodyne Method
- Pattern Learning and Identification
- Instantaneous Power Compensation
- Artificial Intelligence Based Control Algorithm
- Light Flicker Mitigation through STATCOM
- Conclusion
- References
- Chapter 8
- Enhancement of Power Quality in Microgrid Using Optimized PV-Based DSTATCOM
- Abstract
- Introduction
- System Modeling
- DSTATCOM
- PV Cell
- Control Technique Used
- Optimization Technique Used
- Particle Swarm Optimization
- Dragonfly Algorithm
- Simulation and Result
- Case A: Role of DSTATCOM in Mitigation of Harmonics and Maintaining the Power Quality
- Case B: Role of DSTATCOM in Maintaining Voltage Profile
- Conclusion
- Appendix
- References
- Chapter 9
- Role of Machine Learning in Forecasting Solar and Wind Power Generation
- Abstract
- Introduction
- Machine Learning
- Overview
- Classification
- Regression
- Time Series Forecasting
- Time Series Forecasting Framework
- Solar PV Power Forecasting
- Integration Challenges and Importance of Solar PV Power Forecasting
- Machine Learning-Based Solar PV Power Prediction
- Wind Power Forecasting
- Integration Challenges and Importance of Wind Power Forecasting
- Machine Learning Based Wind Power Prediction
- Power Generation Forecasting Horizons
- Forecasting Horizons
- Very-Short-Term Forecasting
- Short-Term Forecasting
- Medium-Term Forecasting
- Long-Term Forecasting
- Very-Long-Term Forecasting
- Forecasting Methodologies
- Physical Method
- Statistical Method
- Hybrid Method
- Demonstration of Forecasting Framework
- Data Visualization
- Testing Stationary
- Grid Search
- Validating Model Predictions
- Result and Discussion
- Conclusion
- References
- Chapter 10
- Technological and Communicational Advancements in the Energy Grid: A Review
- Abstract
- Introduction
- Technological Advancement and Energy Grid System
- Communicational Advancements in Energy Grid System
- Conclusion
- References
- Chapter 11
- Renewable Energy and Energy Storage Systems
- Abstract
- Introduction
- Renewable Energy and Its Prospects
- Energy Storage Systems
- Roles of Energy Storage (ES) Technologies
- Critical Parameters of an Energy Storage Device
- Classification of Electrical Energy Storage Technology
- Benefits of Energy Storage System
- Key Grid Energy Storage Technologies
- Battery Energy Storage System (BESS)
- Applications of Energy Storage System
- Discussion
- Conclusion
- References
- Chapter 12
- Review of Energy Storage System Technologies in Microgrid Applications: Characteristics, Issues and Challenges
- Abstract
- Introduction
- Status, Characteristics and Applications of Energy Storage Systems
- Energy Storage Technologies
- Mechanical Storage
- Pumped Hydroelectric Energy Storage
- Compressed Air Energy Storage (CAES)
- Flywheel Energy Storage System (FESS)
- Electrochemical/Battery Energy Storage (BES)
- Super-Capacitor (SC)/Ultra-Capacitor (UC)
- Electromagnetic/Superconducting Magnetic Energy Storage (SMES)
- Hybrid Energy Storage System (HESS)
- Conclusion
- References
- Chapter 13
- Determination of Optimal Size for Battery Energy Storage System in Distribution Networks
- Abstract
- Introduction
- Overview of Battery Energy Storage System
- BESS Simulation
- Problem Formulation
- Objective Functions
- Constraints
- Equality Constraints
- Power Balance
- BESS Charging
- BESS Discharging
- Charge Balance
- Inequality Constraints
- Voltage
- Operation Constraints of the Battery
- Optimal Size of BESS
- Result and Discussion
- Conclusion
- References
- About the Editors
- Index
- Blank Page
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