book

Internet of Energy Handbook

by Pawan Kumar, Srete Nikolovski, Z Dong

May 2021

Intermediate to advanced

248 pages

7h 42m

English

CRC Press

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1.1 Background1.2 Literature Review1.3 Power Distribution Systems1.4 Objectives of Distribution Systems1.5 Classification of Distribution Systems1.6 Connection Scheme of Distribution System1.6.1 Radial System1.6.2 Ring Main System1.6.3 Interconnected System1.7 Requirement of a Distribution System1.7.1 System Voltage Profile1.7.2 Availability of Power Demand1.7.3 Reliability1.8 Mathematical Formulation of Energy Efficiency Parameters1.8.1 Equivalent Representation of Distribution Line Between Two Nodes1.8.2 Phasor Diagram of Distribution Line Between Two Nodes1.8.3 Node Voltage Calculation1.8.4 Power Flow Equation1.8.4.1 Forward Power Flow Equation1.8.4.2 Backward Power Flow Equation1.8.5 Calculation of Power Losses1.9 Calculation of Peak Load Factor1.10 Load Modeling and Their Representations1.10.1 Load Modeling1.10.2 Load Growth1.11 Illustrative Example1.12 A Framework of Internet of Energy1.12.1 IoE Framework at the Primary Distribution System Level1.12.1.1 IoE Framework for Network Configuration Management1.12.1.2 IoE Framework for Integration of Distributed Energy Resources1.12.1.3 IoE Framework for the Integration of Dynamic Voltage Restorer1.12.2 IoE framework at the Secondary Distribution System Level1.12.2.1 IoE Framework for DSM1.12.2.2 IoE Framework for a Vehicle to Grid and Grid to Vehicle1.13 Results and Discussions1.14 Future Directions1.15 ConclusionsReferencesRelated ReadingKeywords and Descriptions

2.1 Background2.2 Literature2.3 Soft Computing Methods2.3.1 Genetic Algorithms2.3.2 Harmony Search Algorithm2.3.3 Particle Swarm Optimization2.3.4 Grey Wolf Optimization2.3.5 Artificial Neural Networks (ANNs)2.3.6 Fuzzy Logic Systems [12]2.3.7 Ant Colony Optimization2.3.8 Teaching Learning-Based Optimization2.3.8.1 Teacher Phase2.3.8.2 Student Phase [14,15]2.3.9 Jaya Algorithm [16]2.4 Application of Soft Computing Techniques in Power and Energy Systems2.5 Energy Management2.5.1 Overview of IEC 618502.5.1.1 Communication Protocols2.5.1.2 Distribution Automation System2.5.2 Building Energy Management System2.6 Future Directions2.7 ConclusionsReferencesOther Related Readings Keywords and Descriptions
3.1 Background3.2 Literature Review3.2.1 Historical Background3.2.2 EVs Vs ICEVs3.2.3 Types of EVs3.2.4 HEV Configurations3.2.4.1 Series HEV (IC Engine Assisted HEV)3.2.4.2 Parallel HEV3.2.4.3 Series-Parallel HEV3.2.4.4 Complex HEV3.3 Plug-in Hybrid Electric Vehicle3.3.1 Introduction3.3.2 Grid Applications of PHEV3.3.3 Battery Performance Assessment3.3.3.1 State-of-Charge (SoC)3.3.3.2 State-of-Health (SoH)3.3.4 EV Charging Schemes3.3.4.1 AC Charger Level 13.3.4.2 AC Charger Level 23.3.4.3 DC Fast Charging3.4 Vehicle-to-Grid (V2G) Technology3.4.1 Introduction3.4.2 V2G Challenges3.5 Internet of Energy: An Overview3.5.1 Information Flow in IoE3.5.1.1 Machine-2-Machine Communication3.5.1.2 Architecture of M2M Communication3.5.1.3 Data Logging System3.5.2 Neighborhood Area Network (NAN)3.5.3 Wireless Communication3.6 Literature Survey3.7 Proposed Approach3.7.1 Sample System3.7.2 Case Study3.8 Future Directions3.9 ConclusionsReferencesRelated Reading
4.1 Background4.2 Literature Review4.2.1 Optimum Design of EVs4.2.2 Thermal Management of Battery4.2.3 Control System of EVs4.2.4 Reliability Assessment of EVs4.3 Proposed Approach4.4 Pre-feasibility Assessment of HEVs by Big Data Analysis4.5 Hadoop Distributed HEVs System4.6 Modeling of Hybrid Electric Vehicle System4.7 Modeling from MapReduce Algorithm and Development of Decision Tree4.8 Hierarchical Data Clustering of Hybrid Electric Vehicle4.9 Future directions4.10 ConclusionsReferencesKeywords and Descriptions
5.1 Background5.2 Literature Review5.3 Methodology of Fault Distance Calculation Using IoE under Different Fault Types5.3.1 Modelling Transmission Line Network5.3.2 Phasor Extraction for Faulty Network5.3.3 Calculation of Sequence Network Components from the Extracted Phasor Values5.3.4 Calculation of Fault Location Using Equations for the Respective Type of Fault5.3.4.1 Asymmetrical Fault Solution5.3.4.2 Symmetrical Fault Solution5.3.5 Simulation and Result5.3.6 Asymmetrical Fault Solution5.3.6.1 Error in Fault Location Estimation Using the Rockefeller and Udren Algorithm5.3.6.2 Error in Fault Location Estimation Using FFT Algorithm5.3.7 Symmetrical Fault Solution5.4 Future Directions5.5 ConclusionsReferences Keywords and Descriptions
6.1 Background6.2 Literature Review6.3 Architectures and Fusion6.3.1 Evolving Energy Systems Architecture6.3.2 Blockchain and IoT Architectures6.3.3 Functional Perspectives6.3.4 Physical Perspectives6.3.5 Towards Blockchain- and IoT-based Energy Frameworks6.4 Security6.4.1 Secure and Trustless Platforms in Modern Energy Systems6.4.2 Authentication, Permission and Tokenization6.4.3 Public and Private Protocols6.4.4 Smart Contracts6.5 Future Directions6.6 ConclusionReferences
7.1 Background7.1.1 Introduction7.2 Literature Review7.3 Solar Energy Generation7.4 IOE Scenario7.4.1 IOE for Solar Power Generation7.4.2 IoE and Energy Management7.5 Role of IOE in Solar Industry7.6 Role of IOE in Protection of Integrated Grid7.7 Role of IOE in Automation of Power System Network7.8 Role of IOE on Security Planning in Power System Network7.9 Challenges7.10 Advantages and Opportunities7.11 Future Directions7.12 ConclusionsReferences Keywords and Descriptions
8.1 Background8.2 Literature Review8.3 IoE-Based Building Management System8.3.1 IoE for Energy-Efficient Buildings8.3.2 Features and Concept of IoE8.4 Applications of IOE in the Commercial and Residential Buildings8.5 Major Challenges for Implementing IOE in Buildings8.6 FoE: A Case Study8.7 Future Directions8.8 ConclusionsReferences Keywords and Descriptions
9.1 Background9.2 Literature Review9.3 System Dynamics9.3.1 SD Model for AGV Batteries9.3.2 Manual Charge9.3.3 Automatic Fast Charge9.3.4 Charging Continuously from the Ground9.4 Future Directions9.5 ConclusionsReferences

Overview

This handbook of research on Internet of Energy provides knowledge in the field of energy management with an Internet of Things perspective. It covers the technological developments for energy management leading to reduction in energy consumption through topics like smart energy systems, sensors, communication, techniques and utilization.