Internet of Energy Handbook

Description

Cover Half Title Title Page Copyright Page Table of Contents Foreword Preface Editor Biographies Contributors Chapter 1: A Framework of Internet of Energy for Coordinated Operation in Power Delivery 1.1 Background 1.2 Literature Review 1.3 Power Distribution Systems 1.4 Objectives of Distribution Systems 1.5 Classification of Distribution Systems 1.6 Connection Scheme of Distribution System 1.6.1 Radial System 1.6.2 Ring Main System 1.6.3 Interconnected System 1.7 Requirement of a Distribution System 1.7.1 System Voltage Profile 1.7.2 Availability of Power Demand 1.7.3 Reliability 1.8 Mathematical Formulation of Energy Efficiency Parameters 1.8.1 Equivalent Representation of Distribution Line Between Two Nodes 1.8.2 Phasor Diagram of Distribution Line Between Two Nodes 1.8.3 Node Voltage Calculation 1.8.4 Power Flow Equation 1.8.4.1 Forward Power Flow Equation 1.8.4.2 Backward Power Flow Equation 1.8.5 Calculation of Power Losses 1.9 Calculation of Peak Load Factor 1.10 Load Modeling and Their Representations 1.10.1 Load Modeling 1.10.2 Load Growth 1.11 Illustrative Example 1.12 A Framework of Internet of Energy 1.12.1 IoE Framework at the Primary Distribution System Level 1.12.1.1 IoE Framework for Network Configuration Management 1.12.1.2 IoE Framework for Integration of Distributed Energy Resources 1.12.1.3 IoE Framework for the Integration of Dynamic Voltage Restorer 1.12.2 IoE framework at the Secondary Distribution System Level 1.12.2.1 IoE Framework for DSM 1.12.2.2 IoE Framework for a Vehicle to Grid and Grid to Vehicle 1.13 Results and Discussions 1.14 Future Directions 1.15 Conclusions References Related Reading Keywords and Descriptions Chapter 2: Evaluation of Soft Computing Techniques and IEC61850 Protocols for the Development of the Internet of Energy Framework 2.1 Background 2.2 Literature 2.3 Soft Computing Methods 2.3.1 Genetic Algorithms 2.3.2 Harmony Search Algorithm 2.3.3 Particle Swarm Optimization 2.3.4 Grey Wolf Optimization 2.3.5 Artificial Neural Networks (ANNs) 2.3.6 Fuzzy Logic Systems [ 12 ] 2.3.7 Ant Colony Optimization 2.3.8 Teaching Learning-Based Optimization 2.3.8.1 Teacher Phase 2.3.8.2 Student Phase [ 14, 15 ] 2.3.9 Jaya Algorithm [ 16 ] 2.4 Application of Soft Computing Techniques in Power and Energy Systems 2.5 Energy Management 2.5.1 Overview of IEC 61850 2.5.1.1 Communication Protocols 2.5.1.2 Distribution Automation System 2.5.2 Building Energy Management System 2.6 Future DIRECTIONS 2.7 Conclusions References Other Related Readings Keywords and Descriptions Chapter 3: Internet of Energy for Plug-In Hybrid Electric Vehicle 3.1 Background 3.2 Literature Review 3.2.1 Historical Background 3.2.2 EVs Vs ICEVs 3.2.3 Types of EVs 3.2.4 HEV Configurations 3.2.4.1 Series HEV (IC Engine Assisted HEV) 3.2.4.2 Parallel HEV 3.2.4.3 Series-Parallel HEV 3.2.4.4 Complex HEV 3.3 Plug-in Hybrid Electric Vehicle 3.3.1 Introduction 3.3.2 Grid Applications of PHEV 3.3.3 Battery Performance Assessment 3.3.3.1 State-of-Charge (SoC) 3.3.3.2 State-of-Health (SoH) 3.3.4 EV Charging Schemes 3.3.4.1 AC Charger Level 1 3.3.4.2 AC Charger Level 2 3.3.4.3 DC Fast Charging 3.4 Vehicle-to-Grid (V2G) Technology 3.4.1 Introduction 3.4.2 V2G Challenges 3.5 Internet of Energy: An Overview 3.5.1 Information Flow in IoE 3.5.1.1 Machine-2-Machine Communication 3.5.1.2 Architecture of M2M Communication 3.5.1.3 Data Logging System 3.5.2 Neighborhood Area Network (NAN) 3.5.3 Wireless Communication 3.6 Literature Survey 3.7 Proposed Approach 3.7.1 Sample System 3.7.2 Case Study 3.8 Future Directions 3.9 Conclusions References Related Reading Keywords and Descriptions Chapter 4: Assessment of Plug-in Hybrid Electric Vehicle (HEVs) Through Big Data Analysis 4.1 Background 4.2 Literature Review 4.2.1 Optimum Design of EVs 4.2.2 Thermal Management of Battery 4.2.3 Control System of EVs 4.2.4 Reliability Assessment of EVs 4.3 Proposed Approach 4.4 Pre-feasibility Assessment of HEVs by Big Data Analysis 4.5 Hadoop Distributed HEVs System 4.6 Modeling of Hybrid Electric Vehicle System 4.7 Modeling from MapReduce Algorithm and Development of Decision Tree 4.8 Hierarchical Data Clustering of Hybrid Electric Vehicle 4.9 Future directions 4.10 Conclusions References Keywords and Descriptions Chapter 5: Estimation of Fault Location Using Cyber Physical System in WAMCP 5.1 Background 5.2 Literature Review 5.3 Methodology of Fault Distance Calculation Using IoE under Different Fault Types 5.3.1 Modelling Transmission Line Network 5.3.2 Phasor Extraction for Faulty Network 5.3.3 Calculation of Sequence Network Components from the Extracted Phasor Values 5.3.4 Calculation of Fault Location Using Equations for the Respective Type of Fault 5.3.4.1 Asymmetrical Fault Solution 5.3.4.2 Symmetrical Fault Solution 5.3.5 Simulation and Result 5.3.6 Asymmetrical Fault Solution 5.3.6.1 Error in Fault Location Estimation Using the Rockefeller and Udren Algorithm 5.3.6.2 Error in Fault Location Estimation Using FFT Algorithm 5.3.7 Symmetrical Fault Solution 5.4 Future Directions 5.5 Conclusions References Keywords and Descriptions Chapter 6: The Role of Blockchain and IoT in Modern Energy Systems 6.1 Background 6.2 Literature Review 6.3 Architectures and Fusion 6.3.1 Evolving Energy Systems Architecture 6.3.2 Blockchain and IoT Architectures 6.3.3 Functional Perspectives 6.3.4 Physical Perspectives 6.3.5 Towards Blockchain- and IoT-based Energy Frameworks 6.4 Security 6.4.1 Secure and Trustless Platforms in Modern Energy Systems 6.4.2 Authentication, Permission and Tokenization 6.4.3 Public and Private Protocols 6.4.4 Smart Contracts 6.5 Future Directions 6.6 Conclusion References Keywords and Descriptions Chapter 7: Solar Energy Generation and Internet of Energy (IoE): Challenges and Purview 7.1 Background 7.1.1 Introduction 7.2 Literature Review 7.3 Solar Energy Generation 7.4 IOE Scenario 7.4.1 IOE for Solar Power Generation 7.4.2 IoE and Energy Management 7.5 Role of IOE in Solar Industry 7.6 Role of IOE in Protection of Integrated Grid 7.7 Role of IOE in Automation of Power System Network 7.8 Role of IOE on Security Planning in Power System Network 7.9 Challenges 7.10 Advantages and Opportunities 7.11 Future Directions 7.12 Conclusions References Keywords and Descriptions Chapter 8: IoE for Energy Efficient Buildings: Challenges and Solutions 8.1 Background 8.2 Literature Review 8.3 IoE-Based Building Management System 8.3.1 IoE for Energy-Efficient Buildings 8.3.2 Features and Concept of IoE 8.4 Applications of IOE in the Commercial and Residential Buildings 8.5 Major Challenges for Implementing IOE in Buildings 8.6 FoE: A Case Study 8.7 Future Directions 8.8 Conclusions References Keywords and Descriptions Chapter 9: Battery Management of Automated Guided Vehicles Via System Dynamics 9.1 Background 9.2 Literature Review 9.3 System Dynamics 9.3.1 SD Model for AGV Batteries 9.3.2 Manual Charge 9.3.3 Automatic Fast Charge 9.3.4 Charging Continuously from the Ground 9.4 Future Directions 9.5 Conclusions References Keywords and Descriptions Index A B C D E F G H I J K L M N O P R S T U V W Y Z