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Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes
Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes
Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes
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Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes

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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.

LanguageEnglish
PublisherWiley
Release dateJul 5, 2016
ISBN9781119118121
Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes
Author

Tamer Khatib

Tamer Khatib Tamer is a photovoltaic power system professional. He holds a B.Sc. degree in electrical power systems, an M.Sc. degree and a Ph.D degree in photovoltaic power systems. In addition, he holds Habilitation (the highest academic degree in German speaking countries) in Renewable and sustainable energy from Alpen Adria Universitat, Klagenfurt, Austria. Currently he is an Associate professor of renewable energy at An-Najah National University and the director of An-Najah Company for Consultancy and Technical Studies. He is also the chair of IEEE Palestine sub-section. He is a senior member of IEEE, IEEE Power and Energy Society, The International Solar Energy society, Jordanian Engineers Association. His research interests mainly fall in the scope of photovoltaic systems and solar energy fundamentals.

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    Modeling of Photovoltaic Systems Using MATLAB - Tamer Khatib

    1

    MODELING OF THE SOLAR SOURCE

    1.1 INTRODUCTION

    Solar energy is the portion of the Sun’s radiant heat and light, which is available at the Earth’s surface for various applications of generating energy, that is, converting the energy form of the Sun into energy for useful applications. This is done, for example, by exciting electrons in a photovoltaic cell, supplying energy to natural processes like photosynthesis, or by heating objects. This energy is free, clean, and abundant in most places throughout the year and is important especially at the time of high fossil fuel costs and degradation of the atmosphere by the use of these fossil fuels. Solar energy is carried on the solar radiation, which consists of two parts: extraterrestrial solar radiation, which is above the atmosphere, and global solar radiation, which is at surface level below the atmosphere. The components of global solar radiation are usually measured by pyranometers, solarimeters, actinography, or pyrheliometers. These measuring devices are usually installed at selected sites in specific regions. Due to high cost of these devices, it is not feasible to install them at many sites. In addition, these measuring devices have notable tolerances and accuracy deficiencies, and consequently wrong/missing records may occur in a measured data set. Thus, there is a need for modeling of the solar source considering solar astronomy and geometry principles. Moreover, the measured solar radiation values can be used for developing solar radiation models that describe the mathematical relations between the solar radiation and the meteorological variables such as ambient temperature, humidity, and sunshine ratio. These models can be later be used to predict solar radiation at places where there is no solar energy measuring device installed.

    1.2 MODELING OF THE SUN POSITION

    As a fact, the Earth rotates around the Sun in an elliptical orbit. Figure 1.1 shows the Earth rotation orbit around the Sun. The length of each rotation the Earth makes around the Sun is about 8766 h, which approximately stands for 365.242 days.

    Diagram of Earth’s elliptical orbit around the Sun indicating winter solstice, autumnal, vernal, aphelion (152 million km), and perihelion (147 million km).

    FIGURE 1.1 Earth rotation orbit around the Sun.

    From the figure, it can be seen that there are some unique points at this orbit. The winter solstice occurs on December 21, at which the Earth is about 147 million km away from the Sun. On the other hand, at the summer solstice, which occurs on June 21, the Earth is about 152 million km from the Sun. However, to provide more accurate points, the Earth is closest to the Sun (147 million km) on January 2, and this point is called perihelion. The point where the Earth is furthest from the Sun (152 million km) is called aphelion and occurs on July 3.

    For an observer standing at specific point on the Earth, the Sun position can be determined by two main angles, namely, altitude angle (α) and azimuth angle (θS), as seen in Figure 1.2.

    Diagram of the Sun’s altitude angle (α) and azimuth angle (θS).

    FIGURE 1.2 The Sun’s altitude and azimuth angles.

    From Figure 1.2 the altitude angle is the angular height of the Sun in the sky measured from the horizontal. The altitude angle can be given by

    (1.1)

    where L is the latitude of the location, δ is the angle of declination, and ω is the hour angle.

    The angle of declination is the angle between the Earth–Sun vector and the equatorial plane (see Fig. 1.3) and is calculated as follows (results in degree, arguments to trigonomic functions are expected to be in radiant):бS

    (1.2)

    Diagram of solar declination angle (δ) between the Earth–Sun vector and the equatorial plane.

    FIGURE 1.3 Solar declination angle.

    The hour angle, ω, is the angular displacement of the Sun from the local point, and it is given by

    (1.3)

    where AST is apparent or true solar time and is given by the daily apparent motion of the true or observed Sun. AST is based on the apparent solar day, which is the interval between two successive returns of the Sun to the local meridian. Apparent solar time is given by

    (1.4)

    where LMT is the local meridian time, LOD is the longitude, LSMT is the local standard meridian time, and EoT is the equation of time.

    The LSMT is a reference meridian used for a particular time zone and is similar to the prime meridian, used for Greenwich Mean Time. LSMT is given by

    (1.5)

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