Overview

The book is written as primer hand book for addressing the fundamentals of smart grid. It provides the working definition the functions, the design criteria and the tools and techniques and technology needed for building smart grid. The book is needed to provide a working guideline in the design, analysis and development of Smart Grid. It incorporates all the essential factors of Smart Grid appropriate for enabling the performance and capability of the power system. There are no comparable books which provide information on the “how to” of the design and analysis. The book provides a fundamental discussion on the motivation for the smart grid development, the working definition and the tools for analysis and development of the Smart Grid.  Standards and requirements needed for designing new devices, systems and products are discussed; the automation and computational techniques need to ensure that the Smart Grid guarantees adaptability, foresight alongside capability of handling new systems and components are discussed. The interoperability of different renewable energy sources are included to ensure that there will be minimum changes in the existing legacy system. Overall the book evaluates different options of computational intelligence, communication technology and decision support system to design various aspects of Smart Grid. Strategies for demonstration of Smart Grid schemes on selected problems are presented.

Full Product Details

Author:   James A. Momoh
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-IEEE Press
Dimensions:   Width: 16.30cm , Height: 1.90cm , Length: 24.60cm
Weight:   0.499kg
ISBN:  

9780470889398

ISBN 10:   047088939
Pages:   232
Publication Date:   13 April 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock  
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Table of Contents

Preface xiii 1 SMART GRID ARCHITECTURAL DESIGNS 1 1.1 Introduction 1 1.2 Today's Grid versus the Smart Grid 2 1.3 Energy Independence and Security Act of 2007: Rationale for the Smart Grid 2 1.4 Computational Intelligence 4 1.5 Power System Enhancement 5 1.6 Communication and Standards 5 1.7 Environment and Economics 5 1.8 Outline of the Book 5 1.9 General View of the Smart Grid Market Drivers 6 1.10 Stakeholder Roles and Function 6 1.11 Working Definition of the Smart Grid Based on Performance Measures 11 1.12 Representative Architecture 12 1.13 Functions of Smart Grid Components 12 1.14 Summary 15 2 SMART GRID COMMUNICATIONS AND MEASUREMENT TECHNOLOGY 16 2.1 Communication and Measurement 16 2.2 Monitoring, PMU, Smart Meters, and Measurements Technologies 19 2.3 GIS and Google Mapping Tools 23 2.4 Multiagent Systems (MAS) Technology 24 2.5 Microgrid and Smart Grid Comparison 27 2.6 Summary 27 3 PERFORMANCE ANALYSIS TOOLS FOR SMART GRID DESIGN 29 3.1 Introduction to Load Flow Studies 29 3.2 Challenges to Load Flow in Smart Grid and Weaknesses of the Present Load Flow Methods 30 3.3 Load Flow State of the Art: Classical, Extended Formulations, and Algorithms 31 3.4 Congestion Management Effect 37 3.5 Load Flow for Smart Grid Design 38 3.6 DSOPF Application to the Smart Grid 41 3.7 Static Security Assessment (SSA) and Contingencies 43 3.8 Contingencies and Their Classification 44 3.9 Contingency Studies for the Smart Grid 48 3.10 Summary 49 4 STABILITY ANALYSIS TOOLS FOR SMART GRID 51 4.1 Introduction to Stability 51 4.2 Strengths and Weaknesses of Existing Voltage Stability Analysis Tools 51 4.3 Voltage Stability Assessment 56 4.4 Voltage Stability Assessment Techniques 62 4.5 Voltage Stability Indexing 65 4.6 Analysis Techniques for Steady-State Voltage Stability Studies 68 4.7 Application and Implementation Plan of Voltage Stability 70 4.8 Optimizing Stability Constraint through Preventive Control of Voltage Stability 71 4.9 Angle Stability Assessment 73 4.10 State Estimation 81 5 COMPUTATIONAL TOOLS FOR SMART GRID DESIGN 100 5.1 Introduction to Computational Tools 100 5.2 Decision Support Tools (DS) 101 5.3 Optimization Techniques 103 5.4 Classical Optimization Method 103 5.5 Heuristic Optimization 108 5.6 Evolutionary Computational Techniques 112 5.7 Adaptive Dynamic Programming Techniques 115 5.8 Pareto Methods 117 5.9 Hybridizing Optimization Techniques and Applications to the Smart Grid 118 5.10 Computational Challenges 118 5.11 Summary 119 6 PATHWAY FOR DESIGNING SMART GRID 122 6.1 Introduction to Smart Grid Pathway Design 122 6.2 Barriers and Solutions to Smart Grid Development 122 6.3 Solution Pathways for Designing Smart Grid Using Advanced Optimization and Control Techniques for Selection Functions 125 6.4 General Level Automation 125 6.5 Bulk Power Systems Automation of the Smart Grid at Transmission Level 130 6.6 Distribution System Automation Requirement of the Power Grid 132 6.7 End User/Appliance Level of the Smart Grid 137 6.8 Applications for Adaptive Control and Optimization 137 6.9 Summary 138 7 RENEWABLE ENERGY AND STORAGE 140 7.1 Renewable Energy Resources 140 7.2 Sustainable Energy Options for the Smart Grid 141 7.3 Penetration and Variability Issues Associated with Sustainable Energy Technology 148 7.4 Demand Response Issues 150 7.5 Electric Vehicles and Plug-in Hybrids 151 7.6 PHEV Technology 151 7.7 Environmental Implications 152 7.8 Storage Technologies 154 7.9 Tax Credits 158 7.10 Summary 159 8 INTEROPERABILITY, STANDARDS, AND CYBER SECURITY 160 8.1 Introduction 160 8.2 Interoperability 161 8.3 Standards 163 8.4 Smart Grid Cyber Security 166 8.5 Cyber Security and Possible Operation for Improving Methodology for Other Users 173 8.6 Summary 174 9 RESEARCH, EDUCATION, AND TRAINING FOR THE SMART GRID 176 9.1 Introduction 176 9.2 Research Areas for Smart Grid Development 176 9.3 Research Activities in the Smart Grid 178 9.4 Multidisciplinary Research Activities 178 9.5 Smart Grid Education 179 9.6 Training and Professional Development 182 9.7 Summary 183 10 CASE STUDIES AND TESTBEDS FOR THE SMART GRID 184 10.1 Introduction 184 10.2 Demonstration Projects 184 10.3 Advanced Metering 185 10.4 Microgrid with Renewable Energy 185 10.5 Power System Unit Commitment (UC) Problem 186 10.6 ADP for Optimal Network Reconfiguration in Distribution Automation 191 10.7 Case Study of RER Integration 196 10.8 Testbeds and Benchmark Systems 197 10.9 Challenges of Smart Transmission 198 10.10 Benefits of Smart Transmission 198 10.11 Summary 198 References 199 11 EPILOGUE 200 Index 203

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Author Information

JAMES MOMOH, PhD, is Professor in the Department of Electrical and Computer Engineering and Director of the Center for Energy Systems and Control at Howard University. Dr. Momoh also serves as Principal Consultant at Bonneville Power Administration. He has authored or coauthored several books, including Operation and Control of Electric Energy Processing Systems and Economic Market Design and Planning for Electric Power Systems, both from Wiley-IEEE Press. Dr. Momoh is dedicated to the development of interdisciplinary research and education programs in systems engineering, energy systems, and power economics.

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