Smart Grid Fundamentals of Design and Analysis

by
Edition: 1st
Format: Hardcover
Pub. Date: 2012-03-20
Publisher(s): Wiley-IEEE Press
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Summary

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.

Author Biography

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.

Table of Contents

Prefacep. xiii
Smart Grid Architectural Designsp. 1
Introductionp. 1
Today's Grid versus the Smart Gridp. 2
Energy Independence and Security Act of 2007: Rationale for the Smart Gridp. 2
Computational Intelligencep. 4
Power System Enhancementp. 5
Communication and Standardsp. 5
Environment and Economicsp. 5
Outline of the Bookp. 5
General View of the Smart Grid Market Driversp. 6
Stakeholder Roles and Functionp. 6
Utilitiesp. 9
Government Laboratory Demonstration Activitiesp. 9
Power Systems Engineering Research Center (PSERC)p. 10
Research Institutesp. 10
Technology Companies, Vendors, and Manufacturersp. 10
Working Definition of the Smart Grid Based on Performance Measuresp. 11
Representative Architecturep. 12
Functions of Smart Grid Componentsp. 12
Smart Devices Interface Componentp. 13
Storage Componentp. 13
Transmission Subsystem Componentp. 14
Monitoring and Control Technology Componentp. 14
Intelligent Grid Distribution Subsystem Componentp. 14
Demand Side Management Componentp. 14
Summaryp. 15
Referencesp. 15
Suggested Readingsp. 15
Smart Grid Communications and Measurement Technologyp. 16
Communication and Measurementp. 16
Monitoring, PMU, Smart Meters, and Measurements Technologiesp. 19
Wide Area Monitoring Systems (WAMS)p. 20
Phasor Measurement Units (PMU)p. 20
Smart Metersp. 21
Smart Appliancesp. 22
Advanced Metering Infrastructure (AMI)p. 22
GIS and Google Mapping Toolsp. 23
Multiagent Systems (MAS) Technologyp. 24
Multiagent Systems for Smart Grid Implementationp. 25
Multiagent Specificationsp. 25
Multiagent Techniquep. 26
Microgrid and Smart Grid Comparisonp. 27
Summaryp. 27
Referencesp. 27
Performance Analysis Tools for Smart Grid Designp. 29
Introduction to Load Flow Studiesp. 29
Challenges to Load How in Smart Grid and Weaknesses of the Present Load Flow Methodsp. 30
Load Flow State of the Art: Classical, Extended Formulations, and Algorithmsp. 31
Gauss-Seidal Methodp. 31
Newton-Raphson Methodp. 32
Fast Decouple Methodp. 33
Distribution Load Flow Methodsp. 33
Congestion Management Effectp. 37
Load Flow for Smart Grid Designp. 38
Cases for the Development of Stochastic Dynamic Optimal Power How (DSOPF)p. 41
DSOPF Application to the Smart Gridp. 41
Static Security Assessment (SSA) and Contingenciesp. 43
Contingencies and Their Classificationp. 44
Steady-State Contingency Analysisp. 46
Performance Indicesp. 47
Sensitivity-Based Approachesp. 48
Contingency Studies for the Smart Gridp. 48
Summaryp. 49
Referencesp. 50
Suggested Readingsp. 50
Stability Analysis Tools for Smart Gridp. 51
Introduction to Stabilityp. 51
Strengths and Weaknesses of Existing Voltage Stability Analysis. Toolsp. 51
Voltage Stability Assessmentp. 56
Voltage Stability and Voltage Collapsep. 57
Classification of Voltage Stabilityp. 58
Static Stability (Type I Instability)p. 59
Dynamic Stability (Type II Instability)p. 59
Analysis Techniques for Dynamic Voltage Stability Studiesp. 60
Voltage Stability Assessment Techniquesp. 62
Voltage Stability Indexingp. 65
Analysis Techniques for Steady-State Voltage Stability Studiesp. 68
Direct Methods for Detecting Voltage Collapse Pointsp. 69
Indirect Methods (Continuation Methods)p. 69
Application and Implementation Plan of Voltage Stabilityp. 70
Optimizing Stability Constraint through Preventive Control of Voltage Stabilityp. 71
Angle Stability Assessmentp. 73
Transient Stabilityp. 75
Stability Application to a Practical Power Systemp. 76
Boundary of the Region of Stabilityp. 77
Algorithm to Find the Controlling UEPp. 80
Process Changes in Design of DSA for the Smart Gridp. 80
State Estimationp. 81
Mathematical Formulations for Weighted Least Square Estimationp. 84
Detection and Identification of Bad Datap. 86
Pre-Estimation Analysisp. 86
Postestimation Analysisp. 88
Robust State Estimationp. 90
SE for the Smart Grid Environmentp. 94
Real-Time Network Modelingp. 95
Approach of the Smart Grid to State Estimationp. 95
Dynamic State Estimationp. 97
Summaryp. 98
Referencesp. 98
Suggested Readingsp. 98
Computational Tools for Smart Grid Designp. 100
Introduction to Computational Toolsp. 100
Decision Support Tools (DS)p. 101
Analytical Hierarchical Programming (AHP)p. 102
Optimization Techniquesp. 103
Classical Optimization Methodp. 103
Linear Programmingp. 103
Nonlinear Programmingp. 105
Integer Programmingp. 106
Dynamic Programmingp. 107
Stochastic Programming and Chance Constrained Programming (CCP)p. 107
Heuristic Optimizationp. 108
Artificial Neural Networks (ANN)p. 109
Expert Systems (ES)p. 111
Evolutionary Computational Techniquesp. 112
Genetic Algorithm (GA)p. 112
Particle Swarm Optimization (PSO)p. 113
Ant Colony Optimizationp. 113
Adaptive Dynamic Programming Techniquesp. 115
Pareto Methodsp. 117
Hybridizing Optimization Techniques and Applications to the Smart Gridp. 118
Computational Challengesp. 118
Summaryp. 119
Referencesp. 120
Pathway for Designing Smart Gridp. 122
Introduction to Smart Grid Pathway Designp. 122
Barriers and Solutions to Smart Grid Developmentp. 122
Solution Pathways for Designing Smart Grid Using Advanced Optimization and Control Techniques for Selection Functionsp. 125
General Level Automationp. 125
Reliabilityp. 125
Stabilityp. 127
Economic Dispatchp. 127
Unit Commitmentp. 128
Security Analysisp. 130
Bulk Power Systems Automation of the Smart Grid at Transmission Levelp. 130
Fault and Stability Diagnosisp. 131
Reactive Power Controlp. 132
Distribution System Automation Requirement of the Power Gridp. 132
Voltage/VAr Controlp. 132
Power Qualityp. 135
Network Reconfigurationp. 136
Demand-Side Managementp. 136
Distribution Generation Controlp. 137
End User/Appliance Level of the Smart Gridp. 137
Applications for Adaptive Control and Optimizationp. 137
Summaryp. 138
Referencesp. 138
Suggested Readingp. 139
Renewable Energy and Storagep. 140
Renewable Energy Resourcesp. 140
Sustainable Energy Options for the Smart Gridp. 141
Solar Energyp. 141
Solar Power Technologyp. 142
Modeling PV Systemsp. 142
Wind Turbine Systemsp. 144
Biomass-Bioenergyp. 145
Small and Micro Hydropowerp. 147
Fuel Cellp. 147
Geothermal Heat Pumpsp. 148
Penetration and Variability Issues Associated with Sustainable Energy Technologyp. 148
Demand Response Issuesp. 150
Electric Vehicles and Plug-in Hybridsp. 151
PHEV Technologyp. 151
Impact of PHEV on the Gridp. 151
Environmental Implicationsp. 152
Climate Changep. 153
Implications of Climate Changep. 153
Storage Technologiesp. 154
Tax Creditsp. 158
Summaryp. 159
Referencesp. 159
Suggested Readingp. 159
Interoperability, Standards, and Cyber Securityp. 160
Introductionp. 160
Interoperabilityp. 161
State-of-the- Art-Interoperabilityp. 161
Benefits and Challenges of Interoperabilityp. 161
Model for Interoperability in the Smart Grid Environmentp. 162
Smart Grid Network Interoperabilityp. 162
Interoperability and Control of the Power Gridp. 163
Standardsp. 163
Approach to Smart Grid Interoperability Standardsp. 163
Smart Grid Cyber Securityp. 166
Cyber Security State of the Artp. 166
Cyber Security Risksp. 169
Cyber Security Concerns Associated with AMIp. 171
Mitigation Approach to Cyber Security Risksp. 171
Cyber Security and Possible Operation for Improving Methodology for Other Usersp. 173
Summaryp. 174
Referencesp. 174
Suggested Readingsp. 174
Research, Education, and Training for the Smart Gridp. 176
Introductionp. 176
Research Areas for Smart Grid Developmentp. 176
Research Activities in the Smart Gridp. 178
Multidisciplinary Research Activitiesp. 178
Smart Grid Educationp. 179
Module 1: Introductionp. 180
Module 2: Architecturep. 180
Module 3: Functionsp. 181
Module 4: Tools and Techniquesp. 181
Module 5: Pathways to Designp. 181
Module 6: Renewable Energy Technologiesp. 181
Module 7: Communication Technologiesp. 182
Module 8: Standards, Interoperability, and Cyber Securityp. 182
Module 9: Case Studies and Testbedsp. 182
Training and Professional Developmentp. 182
Summaryp. 183
Referencesp. 183
Case Studies and Testbeds for the Smart Gridp. 184
Introductionp. 184
Demonstration Projectsp. 184
Advanced Meteringp. 185
Microgrid with Renewable Energyp. 185
Power System Unit Commitment (UC) Problemp. 186
ADP for Optimal Network Reconfiguration in Distribution Automationp. 191
Case Study of RER Integrationp. 196
Description of Smart Grid Activityp. 196
Approach for Smart Grid Applicationp. 196
Testbeds and Benchmark Systemsp. 197
Challenges of Smart Transmissionp. 198
Benefits of Smart Transmissionp. 198
Summaryp. 198
Referencesp. 199
Epiloguep. 200
Indexp. 203
Table of Contents provided by Ingram. All Rights Reserved.

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