Renewable Energy Optimization, Planning and Control: Proceedings of ICRTE 2021

Description

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources. Preface Acknowledgements Contents About the Editors 1 A Review on Power Quality İmprovement of Grid Connected PV with Lithium-Ion and Super Capacitor Based Hybrid Energy Storage System Using a New Control Strategy 1.1 Introduction 1.2 Lıterature Survey 1.3 Methodology 1.3.1 The Historic Data Processing for Solar Forecasting 1.3.2 Analysis of Variation of Solar, Load and the Sizing of Battery on a Hourly Basis 1.4 Block Diagram 1.4.1 Energy Storage Block 1.4.2 Mode of Operation 1.4.3 The Complete System 1.4.4 Model Description 1.4.5 Fuzzy Logic Control Flowchart 1.5 Conclusion References 2 Influence of Alternative Fuels on Exhaust Emissions of IC Engine: A Review 2.1 Introduction 2.2 Effect of Methanol on Engine Emissions 2.2.1 Effects on HC and NOx Emissions 2.2.2 Effects on CO and CO2 Emissions 2.3 Effect of Ethanol on Engine Emissions 2.3.1 Effects on HC and NOx Emissions 2.3.2 Effects on CO and CO2 Emissions 2.4 Effect of Hydrogen on Engine Emissions 2.4.1 Effects on HC and NOx Emissions 2.4.2 Effects on CO and CO2 Emissions 2.5 Effect of Compressed Natural Gas on Engine Emissions 2.5.1 Effects on HC and NOx Emissions 2.5.2 Effects on CO and CO2 Emissions 2.6 Effect of Liquid Petroleum Gas on Engine Emissions 2.6.1 Effects on HC and NOx Emissions 2.6.2 Effects on CO and CO2 Emissions 2.7 Conclusion References 3 Hybrid Energy System for an Academic Institution: A Case Study 3.1 Introduction 3.2 Design of Hybrid Power Systems 3.2.1 Study Location and Its Load Profile 3.2.2 Available Energy Resources 3.3 Modeling of System Reliability and System Cost 3.4 System Configurations 3.4.1 Configuration-I 3.4.2 Configuration-II 3.5 Result of Configurations 3.5.1 Configuration-I 3.5.2 Configuration-II 3.6 Conclusion References 4 Challenges to Mini-Grids: An Alternative to Rural Electrification 4.1 Introduction 4.2 Mini-Grid 4.3 Community-Operated Mini-Grids 4.4 Improved Power Planning and Challenges 4.5 Conclusion References 5 Comparative Analysis of Family of Luo Converter for Renewable Energy Applications 5.1 Introduction 5.2 Methodology 5.3 Proposed Luo Converters 5.3.1 Elementary Luo Converter 5.3.2 Re-Lift Luo Converter 5.3.3 Fused Luo Converters 5.4 Maximum Power Point Tracking 5.5 Vector Control or Field-Oriented Control 5.6 Grid-Connected System 5.7 Comparison of Converters 5.8 Simulation Results 5.9 Simulation Model and Results of Photovoltaic-Fed Induction Motor 5.9.1 Simulation Model and Results of Hybrid Renewable Grid-Connected System 5.9.2 Conclusions References 6 Design and Modeling of L-Shape Piezoelectric Energy Harvester for Powering Deep Brain Stimulation System 6.1 Introduction 6.2 Modeling of L-Shape Piezoelectric Energy Harvester 6.2.1 Structure of L-Shape Piezoelectric Energy Harvester 6.2.2 Voltage and Power Equations of Piezoelectric Energy Harvester 6.3 Medical Application—Deep Brain Stimulation System (DBSS) 6.4 Results and Discussion 6.4.1 Variation of Design Variables-Length, Width, Thickness, and Mass Weight 6.4.2 Proof Mass Analysis—Rectangular, Cylinder, and L-Shapes 6.4.3 Load Analysis of L-Shape Piezoelectric Harvester 6.5 Conclusion References 7 Solar Irradiation Forecasting by Long-Short Term Memory Using Different Training Algorithms 7.1 Introduction 7.2 Theoretical Background 7.2.1 Long-Short Term Memory Network 7.2.2 Training Algorithms 7.3 Experimental Setup 7.3.1 Data Description 7.3.2 Methodology 7.4 Results and Analysis 7.5 Conclusion References 8 Forecasting of Wind Speed by Using Deep Learning for Optimal Use of the Energy Produced by Wind Farms 8.1 Introduction 8.2 Wind Speed Dataset Used 8.3 Deep Learning 8.3.1 Convolutional Neural Network 8.4 Results and Discussion 8.5 Conclusions References 9 Analysis of Predictive Current Control Technique in Wind Energy Conversion System Abstract 9.1 Introduction 9.2 Introduction to Control and Modulation Techniques in Matrix Convertor 9.3 Applications of Predictive Control Strategies for Matrix Converters 9.4 Conclusion and Summary 9.5 Scope for Future Work References 10 Genetic Algorithm Based Intelligent Control Strategy for Multi-input Multi-output DC–DC Converter 10.1 Introduction 10.2 Working of MIMO Converter 10.3 Control Strategy 10.4 Simulation Results 10.5 Conclusion References 11 Wavelet Transform Based Comparative Analysis of Wind Speed Forecasting Techniques 11.1 Introduction 11.2 Forecasting Models 11.2.1 Simple Exponential Smoothing 11.2.2 Wavelet Transform Decomposition Technique 11.3 Results and Discussion 11.4 Conclusion References 12 Maximization of Energy Production from Sholayar Hydropower Plant in India 12.1 Introduction 12.2 Multi-Reservoir Framework and Maximization of Hydropower Generation 12.2.1 Case Study—Sholayar Powerhouse 12.3 Results and Discussion 12.4 Conclusion References 13 Cuk-Based Single-Phase Inverter Design for PV Array Systems 13.1 Introduction 13.2 System Description 13.3 System Analysis 13.4 Maximum Power Point Tracking Controller 13.5 Simulation and Results 13.6 Conclusion References 14 Support Vector Machine Based Forecasting for Renewable Energy Systems 14.1 Introduction 14.2 Forecasting Reserve Using SVM Algorithm 14.3 Results 14.3.1 Training and Data Analysis 14.4 Conclusion References 15 Efficiency Improvement of PV Panel Using PCM Cooling Technique 15.1 Introduction 15.2 PCM Cooling Technique 15.3 Results and Discussion 15.4 Conclusion References 16 Parametric Identification Algorithm Using Chebyshev–Laguerre Functions 16.1 Introduction 16.2 Synthesis of Orthonormal Chebyshev–Laguerre Functions 16.3 Simulation Using Transformed Generalized Orthonormal Chebyshev–Laguerre Functions 16.4 Conclusion References 17 Analysis of Piezoelectric Energy Harvesting Schemes and a Proposition for State-of-the-Art Approach in Hydro-Electric Power Generation 17.1 Introduction 17.2 Rudiments of Sustainable Piezoelectric Energy Harvesting 17.3 Power Harvester Model and Simulation 17.3.1 Simulink Model for Power Harvesting Circuitry 17.3.2 Flowchart of the Presented Work 17.3.3 Test System and Results of Piezoelctric Energy Harvester 17.4 A Novel Approach to a Sustainable Piezoelectric Harvester 17.5 Conclusion and Future Work References Author Index