Solar Pv and Wind Energy Conversion Systems: An Introduction to Theory, Modeling with MATLAB/Simulink, and the Role of Soft Computing Techniques (Hardcover, 2015)

'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