| Pubbl/distr/stampa |
Singapore : , : Springer, , [2022]
|
| Descrizione fisica |
1 online resource (171 pages)
|
| Disciplina |
621.3
|
| Soggetto topico |
Electrical engineering
|
| ISBN |
981-19-0035-3
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Intro -- Committees -- Preface -- Contents -- About the Editors -- MPPT-Based a Fuzzy Logic and PO Algorithm for Standalone PV System Under Partial Shading Conditions -- 1 Introduction -- 2 System Description -- 2.1 Mathematical Modeling of PV Module -- 2.2 Partial Shading Effect -- 3 Power Conditioning Units -- 3.1 Boost Converter -- 3.2 Bidirectional Buck-Boost Converter -- 3.3 Inverter Circuit -- 4 MPPT Controller -- 4.1 Perturb and Observe Algorithm -- 4.2 Fuzzy Logic Controller -- 5 Results and Discussion -- 5.1 System Under Uniform Irradiance -- 5.2 Extracted Power Under PS Conditions -- 6 Conclusion -- References -- Comparison of the Efficiency of ANN Training Algorithms for Tracking the Maximum Power Point of Photovoltaic Field -- 1 Introduction -- 2 Modeling of Photovoltaic Panels -- 3 Maximum Power Point Tracker (MPPT) -- 4 Artificial Intelligence (AI) -- 4.1 Artificial Neural Networks (ANN) -- 4.2 ANN Training Algorithms -- 5 Configuration of the Proposed Approach -- 5.1 Proposed ANN Architecture -- 5.2 Proposed PV System -- 6 Results and Discussion -- 6.1 Simulation Results of the Proposed ANN Model -- 6.2 Efficiency of the ANN Model to Track the MPP -- 7 Conclusion -- References -- Development of an MPPT Control Based on Fuzzy Logic for a Photovoltaic System -- 1 Introduction -- 2 Block Diagram of a Photovoltaic System -- 3 Photovoltaic Panel Model -- 4 Boost Converter -- 5 Mppt Based on Fuzzy Logic -- 6 Simulation Results and Discussion -- 7 Conclusion -- References -- Artificial Intelligence for Forecasting the Photovoltaic Energy Production -- 1 Introduction -- 2 Neural Networks -- 2.1 Feedforward Neural Networks -- 2.2 Recurrent Neural Networks -- 2.3 LSTM Neural Networks -- 3 Performance Evaluation -- 4 Forecasting of Photovoltaic Energy Production Using LSTM Neural Network -- 5 Conclusion -- References.
Diagnosis and Classification of Photovoltaic Panel Defects Based on a Hybrid Intelligent Method -- 1 Introduction -- 2 Defects of a Photovoltaic Field -- 2.1 Partial Shading -- 2.2 Short-Circuit Fault -- 2.3 Open-Circuit Fault -- 3 Artificial Neural Network (ANN) -- 4 Particle Swarm Optimization (PSO) -- 5 PSO-ANN -- 5.1 Design of the PSO-ANN Hybrid Method -- 5.2 Methodology -- 5.3 Result and Discussion -- 6 Conclusion -- References -- New Reduced Form Approach and an Efficient Analytical Model for the Prediction of the Five Parameters of PV Generators Under Non-STC Conditions -- 1 Introduction -- 2 Single-Diode Modelling -- 3 Method's Theory -- 4 Results and Discussion -- 4.1 Results for KC200GT Under STC -- 4.2 Results for KC200GT Under Non-STC -- 5 Conclusion -- References -- Parameter Prediction of Solar Cell's Double Diode Model Using Neural Network -- 1 Introduction -- 2 Solar Cell's Double Diode Model -- 3 Parameter Prediction for Different Values of G and T -- 4 Artificial Neural Network for Parameter Prediction -- 4.1 Feedforward Artificial Neural Network Model -- 4.2 Learning Process -- 5 Results and Discussion -- 5.1 Impact of the Number of Hidden Neurons on the Network Response -- 5.2 Network Behavior During Training -- 5.3 Evolution of the Seven Electrical Parameters According to Temperature and Irradiance -- 6 Conclusion -- References -- An Assessment of Line Voltage Stability Indices to Select the Best Combination for Voltage Stability Prediction -- 1 Introduction -- 2 Overview of Some Line Voltage Stability Indices -- 3 Assessment of Some Line Voltage Stability Indices -- 3.1 Selection of Test Network -- 3.2 Methodology for Evaluating Line Voltage Stability Indices -- 3.3 Results and Simulations -- 4 Novel Combined Line Voltage Stability Index (NCLVSI) -- 5 Conclusion -- References.
An Intelligent Control of a Variable Speed Wind Turbine Based on DFIG for Maximum Power Capture -- 1 Introduction -- 2 Modeling of the Wind Turbine and the MPPT Strategy -- 2.1 Modeling of the Wind Turbine -- 2.2 The Maximum Power Point Tracking Strategy (MPPT) -- 3 Maximum Power Extraction by Artificial Neural Networks ANN-MPPT -- 4 Modeling and Intelligent Field Oriented Control of the DFIG -- 5 Simulation Results and Interpretation -- 6 Conclusions -- References -- Potential and Challenges in Small Hydro Power Projects in India -- 1 Introduction -- 2 Methodology -- 3 Classification of Hydro Power Plants -- 3.1 Formula of Power Generated from Hydro -- 3.2 Advantages of SHP -- 4 India's Energy Scenario and SHP Potential -- 4.1 India's Energy Scenario of Last 12 Years -- 4.2 India's Current Installed Capacity -- 4.3 SHP Potential of India -- 4.4 SHP Potential in Indian Himalayan Region (IHR) -- 5 Challenges and Risks in SHP -- 5.1 Identification of Risks -- 5.2 Classification of Risks in SHP -- 5.3 Additional Risks in IHR -- 5.4 Major Natural Disasters in IHR in Recent Times -- 5.5 Effect of Chamoli Disaster on Hydro Power Projects -- 5.6 List of Disasters in Neighboring Countries of Himalayan Region -- 6 Result and Discussion -- 6.1 Possible Solutions to the SHP Problems in India -- 7 Conclusion -- References -- The Use of IoT to Improve the Energy Efficiency of the Fez Meknes Exhibition Hall -- 1 Introduction -- 2 Building Description -- 2.1 Building External Views -- 2.2 Exhibition Hall Plan -- 2.3 Building 3D Model -- 2.4 Internet of Things IoT -- 2.5 Thermal Procedure Simulation -- 3 Automation System Description -- 4 Results and Discussions -- 4.1 Comparison of Energy Demand Results Between TRNSYS Software and Insight Autodesk -- 5 Conclusion -- References.
Use of Photovoltaic Energy in the Distillation and Purification of Water: Design of a Prototype -- 1 Introduction -- 2 Process Working Principle -- 2.1 Materials and Methods -- 2.2 Process and Theoretical Measures -- 2.3 Electronic Components -- 2.4 Magnetic Anti-lime Scale Device -- 2.5 Grouping of Photovoltaic Cells -- 3 Results and Discussion -- 4 Conclusion -- References -- Towards FPGA Implementation of an Intelligent Hybrid Energy Management System -- 1 Introduction -- 2 Hybridization Strategy: Architecture -- 3 State Machine Energy Management System -- 4 Simulation Study -- 5 Conclusion and Future Work -- References.
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| Record Nr. | UNINA-9910558490203321 |
Info
The proceedings of the International Conference on Electrical Systems & Automation : recent advances in renewable energy. / / edited by Mohamed Bendaoud, Borutzky Wolfgang, Amine El Fathi