Solar Pv and Wind Energy Conversion Systems: An Introduction to Theory, Modeling with MATLAB/SIMULINK, and the Role of Soft Computing Techniques - Rilegato

Rilegato

ISBN 10: 3319149407 ISBN 13: 9783319149400

Riassunto

This textbook starts with a review of the principles of operation, modeling and control of common solar energy and wind-power generation systems before moving on to discuss grid compatibility, power quality issues and hybrid models of Solar PV and Wind Energy Conversion Systems (WECS). MATLAB/SIMULINK models of fuel cell technology and associated converters are discussed in detail. The impact of soft computing techniques such as neural networks, fuzzy logic and genetic algorithms in the context of solar and wind energy is explained with practical implementation using MATLAB/SIMULINK models.

This book is intended for final year undergraduate, post-graduate and research students interested in understanding the modeling and control of Solar PV and Wind Energy Conversion Systems based on MATLAB/SIMULINK.

- Each chapter includes “Learning Objectives” at the start, a “Summary” at the end and helpful Review Questions

- Includes MATLAB/SIMULINK models of different control strategies for power conditioning units in the context of Solar PV

- Presents soft computing techniques for Solar PV and WECS, as well as MATLAB/SIMULINK models, e.g. for wind turbine topologies and grid integration

- Covers hybrid solar PV and Wind Energy Conversion Systems with converters and MATLAB/SIMULINK models

- Reviews harmonic reduction in Solar PV and Wind Energy Conversion Systems in connection with power quality issues

- Covers fuel cells and converters with implementation using MATLAB/SIMULINK

Su questo libro

L'autore

Dr.S. Sumathi has pursued her B.E. (Electronics and Communication Engineering), M.E. (Applied Electronics) and PhD (Data Mining). She has a teaching experience of 24 years. Currently she is an Associate Professor in the Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore. She has published about 46 Technical papers in reputed National and International Journals and 52 papers in National and International Conferences. In addition, she has authored 5 books with leading publishers like Springer-Verlag and CRC press. She is a recipient of several awards from Institution of Engineers and ISTE. Her areas of specialization are Neural Networks, Fuzzy Systems and Genetic Algorithms, Pattern Recognition and Classification, Data Warehousing and Data Mining, Operating systems and Parallel Computing.

Dr. L. Ashok Kumar has completed his B.E. (EEE), ME (Electrical Machines) MBA (HRM) PhD (Wearable Electronics). He has both teaching and industrial experience of 17 years. At present he is working as a Professor in the Dept. of EEE, PSG College of Technology, Coimbatore. He has got 16 research projects from various Government funding agencies. He has published 72 Technical papers in reputed National and International Journal and presented 77 research articles in International and National Conferences. He is a recipient of many National and International Awards. He is a member of various National & International Technical bodies like ISTE, IETE, TSI, BMSI, ISSS, SESI, SSI CSI & TAI. His areas of specializations are Wearable Electronics, Power Electronics & Drives and Renewable Energy Systems.

Dr. P. Surekha completed her B.E. (Electrical and Electronics Engineering), M.E. (Control Systems) and Ph.D (Computational Intelligence). Her experience includes 10 years with a combination of teaching and industry. She is presently working in the Department of Electrical and Electronics Engineering, PES University, Bangalore. She has published 22 technical papers in International Journals and 16 papers in National and International conferences. Along with journals, to her credit, she has published 3 books with publishers like Springer-Verlag and CRC Press. Her areas of interest include Robotics, Virtual Instrumentation, Mobile Communication and Computational Intelligence.

Contenuti

1.      INTRODUCTION

1.1.            What is Energy?

1.1.1.      The Energy Scenario

1.1.2.      Energy crisis – Global and Indian

1.2.            Energy Efficiency

1.2.1.      Efficient Energy Use

1.3.            Classification of Energy Sources

1.4.            Solar Photovoltaics

1.4.1.      Solar radiation

1.4.2.      Measurement of Solar Radiation

1.5.            Wind Energy

1.5.1.      Renewable Energy in the 12th Five-Year Plan [2012-2017]

1.5.2.      Barriers to achieving higher growth

1.6.            Benefits of Renewable Energy Sources

1.7.            Trends in Energy Consumption

1.7.1.      Annual Energy Consumption

1.7.2.      RES in INDIA

1.7.3.      National Policy Measures supporting Renewables

1.7.4.      Renewable Energy Law

1.7.5.      Generation Based Incentive

1.7.6.      Renewable Energy Certificate scheme

1.7.7.      National Clean Energy Fund

1.7.8.      Other initiatives: Renewable Regulatory Fund Mechanism

1.7.9.      Land allocation policy

1.7.10.  Grid Integration Issues

1.7.11.  Grid transmission planning process

1.7.12.  Interconnection standards

1.7.13.  Green Energy Corridor

1.7.14.  India Smart Grid Task Force

1.8.            Worldwide Potentials of Renewable Energy Sources

1.9.            Need for New Energy Technologies       

1.10.        Introduction to MATLAB and SIMULINK

1.11.        Introduction to Soft Computing

1.11.1.  Soft Computing techniques

1.11.2.  Applications of soft computing techniques in solar energy

1.11.3.  Applications of Soft computing techniques in wind energy

Summary

Review Questions

 

2.      APPLICATION OF MATLAB/SIMULINK IN SOLAR PV SYSTEMS

2.1.            Basics of Solar PV

2.2.            PV Module Performance Measurements

2.2.1.      Balance of system and applicable Standards

2.2.2.      Photovoltaic Systems Total Costs Overview

2.3.            Types of PV Systems

2.4.            MATLAB Model of Solar PV

2.4.1.      SIMULINK model of PV module

2.4.2.      SIMULINK model for PV Array

2.4.3.      SIMULINK model to find shading effect

2.5.            Charge Controller

2.5.1.      Batteries in PV Systems

2.5.2.      Battery Types and Classifications

2.5.3.      Battery Charging

2.5.4.      Battery Discharging

2.5.5.      Battery Gassing and Overcharge Reaction

2.5.6.      Charge Controller Types

2.5.7.      Charge Controller Selection

2.5.8.      Operating Without a Charge Controller

2.5.9.      Using Low-Voltage “Self-Regulating” Modules

2.5.10.  Using a Large Battery or Small Array

2.6.            MATLAB Model of SOC

2.7.            MATLAB Model of Charge Controller

2.8.            Inverter

2.9.            MATLAB/SIMULINK Model of Inverter

2.10.        Maximum Power Point Tracking

2.11.        MATLAB/SIMULINK Model of MPPT

2.11.1.  MPPT Techniques

2.11.2.  MATLAB/SIMULINK implementation of perturb and observe method

2.11.3.  MATLAB/SIMULINK model of the incremental conductance method

2.11.4.  PV module with MPPT techniques

Summary

Review Questions

 

                         

3.      SOFT COMPUTING TECHNIQUES IN SOLAR PV

3.1.            Introduction

3.2.            MPPT USING FUZZY LOGIC

3.2.1.      Implementation

3.2.2.      Description and Design of FLC

3.2.3.      Simulation and Results

3.3.            NEURAL NETWORKS FOR MPP TRACKING

3.3.1.      Background of Neural Networks

3.3.2.      Implementation

3.3.3.      Algorithm For ANN Based MPPT

3.3.4.      Simulation Results

3.4.            EURO-FUZZY BASED MPPT METHOD

3.4.1.      Fuzzy Neural Network Hybrids

3.4.2.      Theoretical Background of ANFIS

3.4.3.      Architecture of adaptive Neuro-Fuzzy inference system

3.4.4.      Hybrid learning algorithm

3.4.5.      Neuro-Fuzzy Network Model and Calculation Algorithm

3.4.6.      ANFIS Network Specifications

3.4.7.      Algorithm For Neuro-Fuzzy Based MPPT

3.4.8.      Results For Neuro-Fuzzy Based MPPT

3.5.            FUZZY BASED SOLAR TRACKING

3.5.1.      Design Process of the Fuzzy Controller

3.5.2.      SIMULINK MODEL

3.5.3.      Simulation Results of Solar Tracking System         

3.6.            MATLAB/SIMULINK Model of Two Axis Sun Tracker using Fuzzy Logic

3.6.1.      Sensors

3.6.2.      Design of FLC for Sun Tracking System

3.6.3.      SIMULINK Model and Results of FLC based Sun Tracker System

3.7.            FLC for Solar Powered Energy

3.7.1.      Methodology

3.7.2.      Theoretical Explanation

3.7.3.      SIMULINK Model of FLC blocks

3.7.4.      Simulation Results

3.8.            Fuzzy Optimization for Solar Array System

3.8.1.      Photovoltaic Systems

3.8.2.      Peak-Power-Transfer Search

3.8.3.      Fuzzy logic based Solar Array Controller

3.8.4.      Experimental Results

3.9.            Forecasting of Solar Irradiance using ANN

3.9.1.      Relation between Solar Irradiance and Weather Variations

3.9.2.      Reconstruction for the Input Vector of the Forecasting Model

3.9.3.      ANN Forecasting Model Using Statistical Feature Parameters

3.10.        Parameter Identification of Solar Cell using Genetic Algorithm

3.10.1.  Method of Determining the Parameters of Solar Cell using Genetic Algorithms

3.11.        Application of Neuro-Fuzzy Technique for Prediction of Solar Radiation

3.11.1.  Neuro-Fuzzy Predictor (NFP)

3.11.2.  Error Metrics

3.11.3.  Neural networks training

3.11.4.  Prediction results with NNP

Summary

Review Questions

 

4.      WIND ENERGY CONVERSION SYSTEMS

4.1.            Introduction

4.2.            Wind Characteristics

4.3.            Wind Turbine

4.3.1.      Fixed-speed wind turbines

4.3.2.      Variable-speed wind turbines

4.4.            Components of WECS

4.5.            Types of Wind Turbine Generators

4.5.1.      Type 1 WTG

4.5.2.      Type 2 WTG

4.5.3.      Type 3 WTG

4.5.4.      Type 4 WTG

4.5.5.      Type 5 WTG

4.6.            Power Converter Topologies for Wind Turbine Generators

4.6.1.      Permanent magnet synchronous generators

4.6.2.      Doubly fed induction generators

4.6.3.      Induction generators

4.6.4.      Synchronous generators

4.7.            Economics of Wind Energy Conversion Systems

4.8.            Grid Connection

4.8.1.      Unique Configurations for Linking Wind Turbines on the Grid

4.9.            Modeling of Wind Turbine using MATLAB/SIMULINK

4.10.        MATLAB/SIMULINK model of Type 1 WTG

4.11.        MATLAB/SIMULINK model of Type 2  WTG

4.12.        MATLAB/SIMULINK model of Type 3 WTG

4.13.        MATLAB/SIMULINK model of Type 4 WTG

4.14.        MATLAB/SIMULINK model of Grid Connection

Summary

Review Questions

 

5.      SOFT COMPUTING TECHNIQUES IN WECS

5.1.            Prediction of Wind Turbine Power Factor

5.1.1.      Problem Formulation

5.1.2.      Artificial Neural Networks

5.1.3.      Adaptive Neuro-Fuzzy Inference System (ANFIS)

5.1.4.      Description of profile types

5.1.5.      Design of the ANN

5.1.6.      ANFIS for prediction of power factor

5.1.7.      Estimation of the Optimal Power Factor

5.2.            Pitch Angle Control

5.2.1.      Problem Definition

5.2.2.      Fuzzy Logic controllers

5.2.3.      Genetic Algorithms

5.2.4.      Conventional Pitch Angle Control

5.2.5.      Fuzzy Logic for Pitch Control

5.2.6.      Genetic Algorithm Controller for Pitch Angle Control

5.3.            MPPT for WECS

5.3.1.      Fuzzy logic based MPPT Controller

5.4.            Economic Dispatch For Wind Power System

5.4.1.      Mathematical model of Economic Dispatch for Power System based on Wind Energy

5.4.2.      Quantum Genetic Algorithm (QGA) for Economic Dispatch of Wind Power System

5.4.3.      Strength Pareto Evolutionary Algorithm (SPEA) approach

5.5.            SEIG Driven by WECS

5.5.1.      Mathematical model for SEIG driven by WECS

5.5.2.      Controllers

5.5.3.      Fuzzy Logic Controller

5.5.4.      Genetic Algorithm

5.6.            FLC based STATCOM

5.6.1.      Modeling of STATCOM

5.6.2.      MATLAB/SIMULINK model

5.6.3.      Simulation Results

5.7.            FLC based Wind Energy Production System

5.7.1.      Wind/battery energy production system

5.7.2.      The wind turbine model

5.7.3.      Battery model

5.7.4.      Fuzzy Logic controller

5.7.5.      MATLAB SIMULINK model

5.7.6.      Simulation Results

5.8.            Prediction of Wind Speed based on FLC

5.8.1.      Controller model

5.8.2.      Experimental results

5.9.            Fuzzy Logic Controlled SPWM Converter for WECS

5.9.1.      Components of standalone WECS

5.9.2.      MATLAB/SIMULINK model

5.9.3.      Simulation Results

Summary

Review Questions

 

6.      HYBRID ENERG...

Dettagli dell'edizione

• Data di pubblicazione: 1863
• Lingua: Inglese
• ISBN 10: 3319149407
• ISBN 13: 9783319149400
• Rilegatura: Copertina rigida
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania