Advances in Electrical Systems and Innovative Renewable Energy Techniques The Proceedings of the International Conference on Electrical Systems and Automation (Volume 1) /

This edited book on “Advances in Electrical Systems and Innovative Renewable Energy Techniques” is an outcome of the selected papers presented at the International Conference on Electrical Systems & Automation, (ICESA 2023) held from 29 to 30, May 2023 at the Faculty of Sciences and technologies...

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Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Bendaoud, Mohamed (Editor), El Fathi, Amine (Editor), Bakhsh, Farhad Ilahi (Editor), Pierluigi, Siano (Editor)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Izdaja:1st ed. 2024.
Serija:Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,
Teme:
Online dostop:https://doi.org/10.1007/978-3-031-49772-8
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Kazalo:
  • Part One: Advances in innovative renewable energy techniques
  • 1. Production of hydrogen by photovoltaic using seawater
  • 2. A numerical evaluation of the energy potential of waves along Morocco's Atlantic and Mediterranean coast
  • 3. Assessment of Bifacial Modules in an AgriVoltaic System installed in Agadir, Morocco
  • 4. Numerical analysis of a parabolic trough collector absorber with a Two-Straight-Tubes Exchanger
  • 5. Long-Term Investigation of Hybrid System for Building Integration: PTC-Based Heating System and Power Generation (CPV/T)
  • 6. Combustion characteristics of biomass pellet fuels in a fixed-bed micro-gasifier cook stove in Senegal
  • 7. Deep Learning Approach for Solar Irradiance Forecasting: A Moroccan case study
  • 8. PV Power Forecasting Using Deep Learning and Physical Models: Case Study of Morocco
  • Part two: Interdisciplinary approaches in renewable energy systems
  • 9. PV Modelling and Extracting the Single-DiodeModel Parameters: A Review Study on Analytical and Numerical Methods
  • 10. An experimental assessment of the single and double-diode models: possibility of a hybrid approach
  • 11. Intelligent PV Fault Detection and Categorization Based on Metaheuristic Algorithm and Feedforward Neural Network
  • 12. Detection and Classification of Faults in PV Systems Based on Thermal Imaging and Fuzzy Logic Algorithm
  • 13. Integral SMC Strategy for MPPT of the Solar PV System under Varying Climatic Conditions
  • 14. Assessing MPPT Techniques for Nanosatellite EPS in Sun-Pointing Orientation: A comparative Study
  • 15. A Comparative Study of Various SuDoKu Algorithms for Improvement of Generated Power under Partial Shading Conditions
  • 16. Modeling and Control of a Standalone PMSG Wind Generation System to Extract the Maximum Power Based on Direct Power Control
  • 17. A Comparative Study of the ADRC and PI Controller of a Wind Turbine Driven by a PMSG
  • 18. Theefficiency of fuzzy logic control on the power stabilization of wind turbine
  • 19. Optimizing Wind Turbine Control with Sliding Mode and Time Delay Strategies
  • Part three: Sizing and management of electrical grid
  • 20. Sizing and Simulation of an Alternative Microgrid System
  • 21. Sizing Renewable Energy by Using Genetic Algorithm
  • 22. Micro-grid design and optimzation using COOT optimization algorithm
  • 23. Feasibility study of the design of a floor heating system for the wet rooms of a Hammam using solar photovoltaic
  • 24. Grid-tied Energy Management System for hybrid microgrid using advanced-PSO algorithm
  • 25. A control strategy for energy cost reduction, peak shaving and power factor correction using batteries
  • 26. Robust Deterministic Optimization Approach for Optimal Reactive Energy Management in Electrical Transmission Network
  • 27. A comparative study of metaheuristics algorithms applied for optimal reactive power dispatchproblem considering load uncertainty
  • 28. Management of battery-hydrogen tank storage system of electric vehicle energy using machine learning classification methods: Comparative Study
  • 29. Design and simulation of an intelligent grid-connected MPPT inverter with battery storage using ANN algorithm.