Energy conversion : methods, technology and future directions / Saurabh Mani Tripathi, editor.

Format:

Book

Contributor:

Tripathi, S. Mani, editor.

Series:

Energy science, engineering and technology series.

Energy Science, Engineering and Technology Series

Language:

English

Subjects (All):

Energy conversion.

Physical Description:

1 online resource (358 pages)

Edition:

First edition.

Place of Publication:

New York : Nova Science Publishers, Inc., [2023]

Summary:

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.

Contents:

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

Nomenclature

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

Appendix

Chapter 3

An Extended Study of Frequency-Supported Wind Energy Conversion Systems

Literature Review

Wind Energy Conversion System (WECS)

Dynamics of WTG

Operating Regions and MPPT Used for WECS

Tip-Speed-Ratio (TSR) Algorithm

Scenario 1.

Scenario 2

Chapter 4

RERNN-BCMO-Based Load Frequency Control in Multi-Area Power Systems Using Hybrid Renewable Energy Sources

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 4: Finding Instant Global Point

Step 5: Selection

Step 6: Updation

Step 7: Termination

Chapter 5

A Review on State-of-the-Art Wind Energy Conversion Systems and Associated Control Strategies for Normal and Fault Conditions

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

Chapter 6

Simulation and Analysis of Three-Phase and Five-Phase Variable Speed PMSMs under Open Phase Fault Conditions

Simulation of Three-Phase PMSM

Analysis of Three-Phase PMSM

Simulation of Five-Phase PMSM

Analysis of Five-Phase PMSM

Chapter 7

Investigation and Mitigation of Distribution-Side Power Quality Issues

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

Chapter 8

Enhancement of Power Quality in Microgrid Using Optimized PV-Based DSTATCOM

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

Chapter 9

Role of Machine Learning in Forecasting Solar and Wind Power Generation

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

Chapter 10

Technological and Communicational Advancements in the Energy Grid: A Review

Technological Advancement and Energy Grid System

Communicational Advancements in Energy Grid System

Chapter 11

Renewable Energy and Energy Storage Systems

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

Chapter 12

Review of Energy Storage System Technologies in Microgrid Applications: Characteristics, Issues and Challenges

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)

Chapter 13

Determination of Optimal Size for Battery Energy Storage System in Distribution Networks

Overview of Battery Energy Storage System

BESS Simulation

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

About the Editors

Index

Blank Page.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Other Format:

Print version: Tripathi, Saurabh Mani Energy Conversion: Methods, Technology and Future Directions

ISBN:

9798886974249

OCLC:

1351199002