The Proceedings of the International Conference on Electrical Systems & Automation : Recent Advances in Renewable Energy—Volume 1
معرفی کتاب «The Proceedings of the International Conference on Electrical Systems & Automation : Recent Advances in Renewable Energy—Volume 1» نوشتهٔ Mohamed Bendaoud (editor), Borutzky Wolfgang (editor), Amine El Fathi (editor)، منتشرشده توسط نشر Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd در سال 2022. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
This edited volume on “Recent Advances in Renewable Energy” presents a selection of refereed papers presented at the 1st International Conference on Electrical Systems and Automation. The book provides rigorous discussions, the state of the art, and recent developments in the field of renewable energy sources supported by examples and case studies, making it an educational tool for relevant undergraduate and graduate courses. The book will be a valuable reference for beginners, researchers, and professionals interested in renewable energy. Committees 5 Preface 8 Contents 9 About the Editors 11 MPPT-Based a Fuzzy Logic and PO Algorithm for Standalone PV System Under Partial Shading Conditions 14 1 Introduction 15 2 System Description 17 2.1 Mathematical Modeling of PV Module 18 2.2 Partial Shading Effect 19 3 Power Conditioning Units 19 3.1 Boost Converter 20 3.2 Bidirectional Buck-Boost Converter 21 3.3 Inverter Circuit 23 4 MPPT Controller 24 4.1 Perturb and Observe Algorithm 25 4.2 Fuzzy Logic Controller 26 5 Results and Discussion 26 5.1 System Under Uniform Irradiance 28 5.2 Extracted Power Under PS Conditions 29 6 Conclusion 31 References 31 Comparison of the Efficiency of ANN Training Algorithms for Tracking the Maximum Power Point of Photovoltaic Field 34 1 Introduction 34 2 Modeling of Photovoltaic Panels 35 3 Maximum Power Point Tracker (MPPT) 36 4 Artificial Intelligence (AI) 36 4.1 Artificial Neural Networks (ANN) 37 4.2 ANN Training Algorithms 37 5 Configuration of the Proposed Approach 39 5.1 Proposed ANN Architecture 40 5.2 Proposed PV System 40 6 Results and Discussion 41 6.1 Simulation Results of the Proposed ANN Model 41 6.2 Efficiency of the ANN Model to Track the MPP 43 7 Conclusion 43 References 44 Development of an MPPT Control Based on Fuzzy Logic for a Photovoltaic System 45 1 Introduction 45 2 Block Diagram of a Photovoltaic System 46 3 Photovoltaic Panel Model 47 4 Boost Converter 49 5 Mppt Based on Fuzzy Logic 50 6 Simulation Results and Discussion 51 7 Conclusion 55 References 56 Artificial Intelligence for Forecasting the Photovoltaic Energy Production 58 1 Introduction 58 2 Neural Networks 59 2.1 Feedforward Neural Networks 60 2.2 Recurrent Neural Networks 60 2.3 LSTM Neural Networks 61 3 Performance Evaluation 64 4 Forecasting of Photovoltaic Energy Production Using LSTM Neural Network 65 5 Conclusion 68 References 69 Diagnosis and Classification of Photovoltaic Panel Defects Based on a Hybrid Intelligent Method 70 1 Introduction 70 2 Defects of a Photovoltaic Field 71 2.1 Partial Shading 71 2.2 Short-Circuit Fault 72 2.3 Open-Circuit Fault 72 3 Artificial Neural Network (ANN) 72 4 Particle Swarm Optimization (PSO) 73 5 PSO-ANN 74 5.1 Design of the PSO-ANN Hybrid Method 74 5.2 Methodology 75 5.3 Result and Discussion 76 6 Conclusion 78 References 79 New Reduced Form Approach and an Efficient Analytical Model for the Prediction of the Five Parameters of PV Generators Under Non-STC Conditions 81 1 Introduction 81 2 Single-Diode Modelling 83 3 Method’s Theory 83 4 Results and Discussion 85 4.1 Results for KC200GT Under STC 86 4.2 Results for KC200GT Under Non-STC 86 5 Conclusion 89 References 90 Parameter Prediction of Solar Cell’s Double Diode Model Using Neural Network 92 1 Introduction 92 2 Solar Cell’s Double Diode Model 93 3 Parameter Prediction for Different Values of G and T 94 4 Artificial Neural Network for Parameter Prediction 94 4.1 Feedforward Artificial Neural Network Model 94 4.2 Learning Process 95 5 Results and Discussion 96 5.1 Impact of the Number of Hidden Neurons on the Network Response 96 5.2 Network Behavior During Training 97 5.3 Evolution of the Seven Electrical Parameters According to Temperature and Irradiance 98 6 Conclusion 101 References 101 An Assessment of Line Voltage Stability Indices to Select the Best Combination for Voltage Stability Prediction 102 1 Introduction 102 2 Overview of Some Line Voltage Stability Indices 103 3 Assessment of Some Line Voltage Stability Indices 104 3.1 Selection of Test Network 104 3.2 Methodology for Evaluating Line Voltage Stability Indices 105 3.3 Results and Simulations 106 4 Novel Combined Line Voltage Stability Index (NCLVSI) 109 5 Conclusion 111 References 111 An Intelligent Control of a Variable Speed Wind Turbine Based on DFIG for Maximum Power Capture 113 1 Introduction 114 2 Modeling of the Wind Turbine and the MPPT Strategy 115 2.1 Modeling of the Wind Turbine 115 2.2 The Maximum Power Point Tracking Strategy (MPPT) 116 3 Maximum Power Extraction by Artificial Neural Networks ANN-MPPT 117 4 Modeling and Intelligent Field Oriented Control of the DFIG 118 5 Simulation Results and Interpretation 120 6 Conclusions 122 References 123 Potential and Challenges in Small Hydro Power Projects in India 124 1 Introduction 124 2 Methodology 125 3 Classification of Hydro Power Plants 126 3.1 Formula of Power Generated from Hydro 126 3.2 Advantages of SHP 127 4 India’s Energy Scenario and SHP Potential 127 4.1 India’s Energy Scenario of Last 12 Years 128 4.2 India’s Current Installed Capacity 130 4.3 SHP Potential of India 131 4.4 SHP Potential in Indian Himalayan Region (IHR) 132 5 Challenges and Risks in SHP 132 5.1 Identification of Risks 132 5.2 Classification of Risks in SHP 133 5.3 Additional Risks in IHR 134 5.4 Major Natural Disasters in IHR in Recent Times 134 5.5 Effect of Chamoli Disaster on Hydro Power Projects 135 5.6 List of Disasters in Neighboring Countries of Himalayan Region 135 6 Result and Discussion 136 6.1 Possible Solutions to the SHP Problems in India 136 7 Conclusion 138 References 139 The Use of IoT to Improve the Energy Efficiency of the Fez Meknes Exhibition Hall 140 1 Introduction 141 2 Building Description 142 2.1 Building External Views 142 2.2 Exhibition Hall Plan 143 2.3 Building 3D Model 143 2.4 Internet of Things IoT 143 2.5 Thermal Procedure Simulation 144 3 Automation System Description 146 4 Results and Discussions 146 4.1 Comparison of Energy Demand Results Between TRNSYS Software and Insight Autodesk 146 5 Conclusion 147 References 149 Use of Photovoltaic Energy in the Distillation and Purification of Water: Design of a Prototype 151 1 Introduction 151 2 Process Working Principle 152 2.1 Materials and Methods 152 2.2 Process and Theoretical Measures 152 2.3 Electronic Components 154 2.4 Magnetic Anti-lime Scale Device 155 2.5 Grouping of Photovoltaic Cells 155 3 Results and Discussion 157 4 Conclusion 157 References 159 Towards FPGA Implementation of an Intelligent Hybrid Energy Management System 160 1 Introduction 161 2 Hybridization Strategy: Architecture 163 3 State Machine Energy Management System 164 4 Simulation Study 166 5 Conclusion and Future Work 167 References 169 This book which is the second part of two volumes on ''Control of Electrical and Electronic Systems” presents a compilation of selected contributions to the 1st International Conference on Electrical Systems & Automation.
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