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Photovoltaic sources modeling / / Giovanni Petrone, University of Salerno, Italy, Carlos Andrâes Ramos-Paja, Universidad Nacional de Colombia, Giovanni Spagnuolo, University of Salerno, Italy
| Photovoltaic sources modeling / / Giovanni Petrone, University of Salerno, Italy, Carlos Andrâes Ramos-Paja, Universidad Nacional de Colombia, Giovanni Spagnuolo, University of Salerno, Italy |
| Autore | Petrone Giovanni |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, Inc., , [2017] |
| Descrizione fisica | 1 online resource (205 pages) : illustrations, graphs |
| Disciplina | 621.31244011 |
| Collana | Wiley - IEEE |
| Soggetto topico | Photovoltaic power generation - Mathematical models |
| ISBN |
1-118-75649-5
1-118-75612-6 1-118-75587-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
-- Acknowledgements xi -- Introduction xiii -- Tables of Symbols and Acronyms xv -- 1 PV Models 1 -- 1.1 Introduction 1 -- 1.2 Modeling: Granularity and Accuracy 1 -- 1.3 The Double-diode Model 2 -- 1.4 The Single-diode Model 4 -- 1.4.1 Effect of the SDM Parameters on the I / V Curve 5 -- 1.5 Models of PV Array for Circuit Simulator 6 -- 1.5.1 The Single-diode Model based on the Lambert W-function 10 -- 1.6 PV Dynamic Models 11 -- 1.7 PV Small-signal Models and Dynamic-resistance Modelling 14 -- References 17 -- 2 Single-diode Model Parameter Identification 21 -- 2.1 Introduction 21 -- 2.2 PV Parameter Identification from Datasheet Information 21 -- 2.2.1 Exact Numerical Methods 21 -- 2.2.2 Approximate Explicit Solution for Calculating SDM Parameters 24 -- 2.2.3 Validation of the Approximate Explicit Solution 27 -- 2.3 Single-diode Model Simplification 30 -- 2.3.1 Five-parameter versus Four-parameter Simplification 32 -- 2.3.2 Explicit Equations for Calculating the Four SDM Parameters 34 -- 2.4 Improved Models for Amorphous and Organic PV Technologies 37 -- 2.4.1 Modified SDM for Amorphous PV Cells 37 -- 2.4.2 Five-parameter Calculation for Amorphous Silicon PV Panels 38 -- 2.4.3 Modified Model for Organic PV Cells 40 -- References 43 -- 3 PV Simulation under Homogeneous Conditions 45 -- 3.1 Introduction 45 -- 3.2 Irradiance- and Temperature-dependence of the PV Model 45 -- 3.2.1 Direct Effects of Irradiance and Temperature 45 -- 3.2.2 Equations for “Translating” SDM Parameters 49 -- 3.2.3 Iterative Procedure proposed by Villalva et al. 51 -- 3.2.4 Modified PV Model proposed by Lo Brano et al. 52 -- 3.2.5 Translating Equations proposed by Marion et al. 53 -- 3.2.6 Modified Translational Equation proposed by Picault et al. 53 -- 3.2.7 PV Electrical Model proposed by King et al. 56 -- 3.2.8 Using the King Equation for Estimating the SDM Parameter Drift 59 -- 3.3 Simplified PV Models for Long-term Simulations 61 -- 3.3.1 King Equations for Long-term Simulations 63 -- 3.3.2 Performance Prediction Model based on the Fill Factor 68.
3.3.3 PV Modeling based on Artificial Neural Networks 69 -- 3.4 Real-time Simulation of PV Arrays 71 -- 3.4.1 Simplified Models including the Power Conversion Stage 72 -- 3.5 Summary of PV Models 75 -- References 77 -- 4 PV Arrays in Non-homogeneous Conditions 81 -- 4.1 Mismatching Effects: Sources and Consequences 81 -- 4.1.1 Manufacturing Tolerances 81 -- 4.1.2 Aging 82 -- 4.1.3 Soiling and Snow 83 -- 4.1.4 Shadowing 83 -- 4.1.5 Module Temperature 86 -- 4.2 Bypass Diode Failure 87 -- 4.3 Hot spots and Bypass Diodes 89 -- 4.4 Effect of Aging Failures and Malfunctioning on the PV Energy Yield 90 -- References 94 -- 5 Models of PV Arrays under Non-homogeneous Conditions 97 -- 5.1 The use of the Lambert W-Function 98 -- 5.2 Application Examples 102 -- 5.2.1 The Entire I / V Curve of a Mismatched PV String 102 -- 5.2.2 The Operating Point of a Mismatched PV String 104 -- 5.3 Guess Solution by Inflection-point Detection 106 -- 5.4 Real-time Simulation of Mismatched PV Arrays 108 -- 5.5 Estimation of the Energy Production of Mismatched PV Arrays 109 -- References 111 -- 6 PV array Modeling at Cell Level under Non-homogeneous Conditions 113 -- 6.1 PV Cell Modeling at Negative Voltage Values 113 -- 6.1.1 The Bishop Term 113 -- 6.1.2 Silicon Cells Type and Reverse Behavior 115 -- 6.2 Cell and Subcell Modeling: Occurrence of Hot Spots 116 -- 6.2.1 Cell Modeling 117 -- 6.3 Simulation Example 121 -- 6.4 Subcell PV Model 123 -- 6.5 Concluding Remarks on PV String Modeling 124 -- References 124 -- 7 Modeling the PV Power Conversion Chain 127 -- 7.1 Introduction 127 -- 7.2 Review of Basic Concepts for Modeling Power Converters 129 -- 7.2.1 Steady-state Analysis 132 -- 7.2.1.1 Steady-state Values 133 -- 7.2.1.2 Ripple Magnitudes 133 -- 7.2.2 Converter Dynamics Analysis 134 -- 7.3 Effects of the Converter in the Power Conversion Chain 136 -- 7.3.1 Steady-state Model of the Power Conversion Chain 136 -- 7.3.2 Analysis and Simulation using the Steady-state Model 139 -- 7.3.3 Voltage Ripple at the Generator Terminals 143. 7.3.4 I / V Curve of the Power Conversion Chain 148 -- 7.4 Modelling the Dynamics of the Power Conversion Chain 151 -- 7.5 Additional Examples 159 -- 7.5.1 MIU based on a Buck Converter 159 -- 7.5.2 MIU based on a Buck / Boost Converter 161 -- 7.6 Summary 162 -- References 163 -- 8 Control of the Power Conversion Chain 165 -- 8.1 Introduction 165 -- 8.2 Linear Controller 166 -- 8.3 Sliding-mode Controller 172 -- 8.3.1 Inductor Current Control 173 -- 8.3.2 Capacitor Current Control 179 -- 8.4 Summary 183 -- References 184 -- Index 000. |
| Record Nr. | UNINA-9910158599203321 |
Petrone Giovanni
|
||
| Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, Inc., , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Photovoltaic sources modeling / / Giovanni Petrone, University of Salerno, Italy, Carlos Andrâes Ramos-Paja, Universidad Nacional de Colombia, Giovanni Spagnuolo, University of Salerno, Italy
| Photovoltaic sources modeling / / Giovanni Petrone, University of Salerno, Italy, Carlos Andrâes Ramos-Paja, Universidad Nacional de Colombia, Giovanni Spagnuolo, University of Salerno, Italy |
| Autore | Petrone Giovanni |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, Inc., , [2017] |
| Descrizione fisica | 1 online resource (205 pages) : illustrations, graphs |
| Disciplina | 621.31244011 |
| Collana | Wiley - IEEE |
| Soggetto topico | Photovoltaic power generation - Mathematical models |
| ISBN |
1-118-75649-5
1-118-75612-6 1-118-75587-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
-- Acknowledgements xi -- Introduction xiii -- Tables of Symbols and Acronyms xv -- 1 PV Models 1 -- 1.1 Introduction 1 -- 1.2 Modeling: Granularity and Accuracy 1 -- 1.3 The Double-diode Model 2 -- 1.4 The Single-diode Model 4 -- 1.4.1 Effect of the SDM Parameters on the I / V Curve 5 -- 1.5 Models of PV Array for Circuit Simulator 6 -- 1.5.1 The Single-diode Model based on the Lambert W-function 10 -- 1.6 PV Dynamic Models 11 -- 1.7 PV Small-signal Models and Dynamic-resistance Modelling 14 -- References 17 -- 2 Single-diode Model Parameter Identification 21 -- 2.1 Introduction 21 -- 2.2 PV Parameter Identification from Datasheet Information 21 -- 2.2.1 Exact Numerical Methods 21 -- 2.2.2 Approximate Explicit Solution for Calculating SDM Parameters 24 -- 2.2.3 Validation of the Approximate Explicit Solution 27 -- 2.3 Single-diode Model Simplification 30 -- 2.3.1 Five-parameter versus Four-parameter Simplification 32 -- 2.3.2 Explicit Equations for Calculating the Four SDM Parameters 34 -- 2.4 Improved Models for Amorphous and Organic PV Technologies 37 -- 2.4.1 Modified SDM for Amorphous PV Cells 37 -- 2.4.2 Five-parameter Calculation for Amorphous Silicon PV Panels 38 -- 2.4.3 Modified Model for Organic PV Cells 40 -- References 43 -- 3 PV Simulation under Homogeneous Conditions 45 -- 3.1 Introduction 45 -- 3.2 Irradiance- and Temperature-dependence of the PV Model 45 -- 3.2.1 Direct Effects of Irradiance and Temperature 45 -- 3.2.2 Equations for “Translating” SDM Parameters 49 -- 3.2.3 Iterative Procedure proposed by Villalva et al. 51 -- 3.2.4 Modified PV Model proposed by Lo Brano et al. 52 -- 3.2.5 Translating Equations proposed by Marion et al. 53 -- 3.2.6 Modified Translational Equation proposed by Picault et al. 53 -- 3.2.7 PV Electrical Model proposed by King et al. 56 -- 3.2.8 Using the King Equation for Estimating the SDM Parameter Drift 59 -- 3.3 Simplified PV Models for Long-term Simulations 61 -- 3.3.1 King Equations for Long-term Simulations 63 -- 3.3.2 Performance Prediction Model based on the Fill Factor 68.
3.3.3 PV Modeling based on Artificial Neural Networks 69 -- 3.4 Real-time Simulation of PV Arrays 71 -- 3.4.1 Simplified Models including the Power Conversion Stage 72 -- 3.5 Summary of PV Models 75 -- References 77 -- 4 PV Arrays in Non-homogeneous Conditions 81 -- 4.1 Mismatching Effects: Sources and Consequences 81 -- 4.1.1 Manufacturing Tolerances 81 -- 4.1.2 Aging 82 -- 4.1.3 Soiling and Snow 83 -- 4.1.4 Shadowing 83 -- 4.1.5 Module Temperature 86 -- 4.2 Bypass Diode Failure 87 -- 4.3 Hot spots and Bypass Diodes 89 -- 4.4 Effect of Aging Failures and Malfunctioning on the PV Energy Yield 90 -- References 94 -- 5 Models of PV Arrays under Non-homogeneous Conditions 97 -- 5.1 The use of the Lambert W-Function 98 -- 5.2 Application Examples 102 -- 5.2.1 The Entire I / V Curve of a Mismatched PV String 102 -- 5.2.2 The Operating Point of a Mismatched PV String 104 -- 5.3 Guess Solution by Inflection-point Detection 106 -- 5.4 Real-time Simulation of Mismatched PV Arrays 108 -- 5.5 Estimation of the Energy Production of Mismatched PV Arrays 109 -- References 111 -- 6 PV array Modeling at Cell Level under Non-homogeneous Conditions 113 -- 6.1 PV Cell Modeling at Negative Voltage Values 113 -- 6.1.1 The Bishop Term 113 -- 6.1.2 Silicon Cells Type and Reverse Behavior 115 -- 6.2 Cell and Subcell Modeling: Occurrence of Hot Spots 116 -- 6.2.1 Cell Modeling 117 -- 6.3 Simulation Example 121 -- 6.4 Subcell PV Model 123 -- 6.5 Concluding Remarks on PV String Modeling 124 -- References 124 -- 7 Modeling the PV Power Conversion Chain 127 -- 7.1 Introduction 127 -- 7.2 Review of Basic Concepts for Modeling Power Converters 129 -- 7.2.1 Steady-state Analysis 132 -- 7.2.1.1 Steady-state Values 133 -- 7.2.1.2 Ripple Magnitudes 133 -- 7.2.2 Converter Dynamics Analysis 134 -- 7.3 Effects of the Converter in the Power Conversion Chain 136 -- 7.3.1 Steady-state Model of the Power Conversion Chain 136 -- 7.3.2 Analysis and Simulation using the Steady-state Model 139 -- 7.3.3 Voltage Ripple at the Generator Terminals 143. 7.3.4 I / V Curve of the Power Conversion Chain 148 -- 7.4 Modelling the Dynamics of the Power Conversion Chain 151 -- 7.5 Additional Examples 159 -- 7.5.1 MIU based on a Buck Converter 159 -- 7.5.2 MIU based on a Buck / Boost Converter 161 -- 7.6 Summary 162 -- References 163 -- 8 Control of the Power Conversion Chain 165 -- 8.1 Introduction 165 -- 8.2 Linear Controller 166 -- 8.3 Sliding-mode Controller 172 -- 8.3.1 Inductor Current Control 173 -- 8.3.2 Capacitor Current Control 179 -- 8.4 Summary 183 -- References 184 -- Index 000. |
| Record Nr. | UNINA-9910825018803321 |
|
Petrone Giovanni
|
||
| Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, Inc., , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||