Print this page Share

Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes

ISBN: 978-1-119-11810-7
240 pages
July 2016
Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes (1119118107) cover image


Provides simplified MATLAB codes for analysis of photovoltaic systems, describes the model of the whole photovoltaic power system, and shows readers how to build these models line by line. 

This book presents simplified coded models for photovoltaic (PV) based systems using MATLAB to help readers understand the dynamic behavior of these systems. Through the use of MATLAB, the reader has the ability to modify system configuration, parameters and optimization criteria. Topics covered include energy sources, storage, and power electronic devices. This book contains six chapters that cover systems’ components from the solar source to the end-user. Chapter 1 discusses modelling of the solar source, and Chapter 2 discusses modelling of the photovoltaic source. Chapter 3 focuses on modeling of PV systems’ power electronic features and auxiliary power sources. Modeling of PV systems’ energy flow is examined in Chapter 4, while Chapter 5 discusses PV systems in electrical power systems. Chapter 6 presents an application of PV system models in systems’ size optimization. Common control methodologies applied to these systems are also modeled.

  • Covers the basic models of the whole photovoltaic power system, enabling the reader modify the models to provide different sizing and control methodologies
  • Examines auxiliary components to photovoltaic systems, including wind turbines, diesel generators, and pumps
  • Contains examples, drills and codes

Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes is a reference forresearchers, students, and engineers who work in the field of renewable energy, and specifically in photovoltaic systems.

See More

Table of Contents

About the Authors vii

Foreword ix

Acknowledgment xi

1 Modeling of the Solar Source 1

1.1 Introduction, 1

1.2 Modeling of the Sun Position, 2

1.3 Modeling of Extraterrestrial Solar Radiation, 8

1.4 Modeling of Global Solar Radiation on a Horizontal Surface, 13

1.5 Modeling of Global Solar Radiation on a Tilt Surface, 17

1.6 Modeling of Solar Radiation Based on Ground Measurements, 21

1.7 AI Techniques for Modeling of Solar Radiation, 26

1.8 Modeling of Sun Trackers, 32

Further Reading, 37

2 Modeling of Photovoltaic Source 39

2.1 Introduction, 39

2.2 Modeling of Solar Cell Based on Standard Testing Conditions, 39

2.3 Modeling of Solar Cell Temperature, 48

2.4 Empirical Modeling of PV Panels Based on Actual Performance, 48

2.5 Statistical Models for PV Panels Based on Actual Performance, 49

2.6 Characterization of PV Panels Based on Actual Performance, 51

2.7 AI Application for Modeling of PV Panels, 52

Further Reading, 84

3 Modeling of PV System Power Electronic Features and Auxiliary Power Sources 87

3.1 Introduction, 87

3.2 Maximum Power Point Trackers, 87

3.3 DC–AC Inverters, 96

3.4 Storage Battery, 102

3.5 Modeling of Wind Turbines, 107

3.6 Modeling of Diesel Generator, 107

3.7 PV Array Tilt Angle, 108

3.8 Motor Pump Model in PV Pumping System, 113

Further Reading, 123

4 Modeling of Photovoltaic System Energy Flow 125

4.1 Introduction, 125

4.2 Energy Flow Modeling for Stand-Alone PV Power Systems, 125

4.3 Energy Flow Modeling for Hybrid PV/Wind Power Systems, 129

4.4 Energy Flow Modeling for Hybrid PV/Diesel Power Systems, 129

4.5 Current-Based Modeling of PV/Diesel Generator/Battery System Considering Typical Control Strategies, 136

Further Reading, 157

5 PV Systems in the Electrical Power System 159

5.1 Overview of Smart Grids, 159

5.2 Optimal Sizing of Grid-Connected Photovoltaic System’s Inverter, 161

5.3 Integrating Photovoltaic Systems in Power System, 164

5.4 RAPSim, 168

Further Reading, 174

6 PV System Size Optimization 175

6.1 Introduction, 175

6.2 Stand-Alone PV System Size Optimization, 176

6.3 Hybrid PV System Size Optimization, 190

6.4 PV Pumping System Size Optimization, 196

Further Reading, 211

Index 213

See More

Author Information

Tamer Khatib is an assistant professor in the Energy Engineering and Environment Department at An-Najah National University, Nablus, Palestine. He received his Ph.D. from National University of Malaysia, Malaysia. Khatib is a Senior Member of IEEE, a member of IEEE Power and Energy Society, and a member of The International Solar Energy Society.

Wilfried Elmenreich is a professor of Smart Grids at the Alpen-Adria-Universität in Klagenfurt, Austria. He received his Ph.D. from Vienna University of Technology, Austria. His research projects also affiliate him with the Lakeside Labs research cluster in Klagenfurt. Elmenreich is a Senior Member of IEEE and counselor of Klagenfurt's IEEE student branch.

See More

Related Titles

Back to Top