This edited book is intended to serve as a resource for engineers, researchers, scientists and experts wishing to become familiar with energy conversion technologies. This edited volume contains thirteen selected chapters that deal with cutting-edge studies on energy conversion and storage technologies. A comprehensive collection of relevant topics on the subject area has been produced in this edited book. Readers are expected to find all the chapters inspiring and very useful while doing their research in the subject area.
Author(s): Saurabh Mani Tripathi, Asheesh Kumar Singh
Series: Energy Science, Engineering and Technology
Publisher: Nova Science Publishers
Year: 2022
Language: English
Pages: 355
City: New York
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
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