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Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.
Preface
Forecasting in Renewable Energy Systems
Chapter 1
Forecasting of Photovoltaic Solar Power Production Using LSTM Approach
Chapter 2 Optimal Design of Energy System Based on the Forecasting Data with Particle Swarm Optimization
Chapter 3 Neutral Network Adaptive Filter with Application to Ocean Current Energy Estimation
Modeling of Renewable Energy Systems
Chapter 4 Static and Dynamic Photovoltaic Cell/Module Parameters Identification
Chapter 5 Performance Analysis of a 20 MW Grid-Connected Photovoltaic Installation in Adrar, South of Algeria
Chapter 6 Modeling of the Small Wind Energy in Saharan Region of Algeria
by Harrouz Abdelkader, Fadila Tahiri, Boussaid Brahim and Fatiha
Bekraoui
Chapter 7 Implement Using KY Converter for Hybrid Renewable Energy Applications: Design, Analysis, and Implementation
Chapter 8 Survey on Photo-Voltaic Powered Interleaved Converter System
Fault Detection and Control in Renewable Energy Systems
Chapter 9 A New Control Strategy for Photovoltaic System Connected to the Grid via Three-Time-Scale Singular Perturbation Technique with Performance Analysis
Chapter 10 Battery Internal Fault Monitoring Based on Anomaly Detection Algorithm