
Smart Grid Fundamentals of Design and Analysis
by Momoh, James A.-
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Summary
Author Biography
Table of Contents
Preface | p. xiii |
Smart Grid Architectural Designs | p. 1 |
Introduction | p. 1 |
Today's Grid versus the Smart Grid | p. 2 |
Energy Independence and Security Act of 2007: Rationale for the Smart Grid | p. 2 |
Computational Intelligence | p. 4 |
Power System Enhancement | p. 5 |
Communication and Standards | p. 5 |
Environment and Economics | p. 5 |
Outline of the Book | p. 5 |
General View of the Smart Grid Market Drivers | p. 6 |
Stakeholder Roles and Function | p. 6 |
Utilities | p. 9 |
Government Laboratory Demonstration Activities | p. 9 |
Power Systems Engineering Research Center (PSERC) | p. 10 |
Research Institutes | p. 10 |
Technology Companies, Vendors, and Manufacturers | p. 10 |
Working Definition of the Smart Grid Based on Performance Measures | p. 11 |
Representative Architecture | p. 12 |
Functions of Smart Grid Components | p. 12 |
Smart Devices Interface Component | p. 13 |
Storage Component | p. 13 |
Transmission Subsystem Component | p. 14 |
Monitoring and Control Technology Component | p. 14 |
Intelligent Grid Distribution Subsystem Component | p. 14 |
Demand Side Management Component | p. 14 |
Summary | p. 15 |
References | p. 15 |
Suggested Readings | p. 15 |
Smart Grid Communications and Measurement Technology | p. 16 |
Communication and Measurement | p. 16 |
Monitoring, PMU, Smart Meters, and Measurements Technologies | p. 19 |
Wide Area Monitoring Systems (WAMS) | p. 20 |
Phasor Measurement Units (PMU) | p. 20 |
Smart Meters | p. 21 |
Smart Appliances | p. 22 |
Advanced Metering Infrastructure (AMI) | p. 22 |
GIS and Google Mapping Tools | p. 23 |
Multiagent Systems (MAS) Technology | p. 24 |
Multiagent Systems for Smart Grid Implementation | p. 25 |
Multiagent Specifications | p. 25 |
Multiagent Technique | p. 26 |
Microgrid and Smart Grid Comparison | p. 27 |
Summary | p. 27 |
References | p. 27 |
Performance Analysis Tools for Smart Grid Design | p. 29 |
Introduction to Load Flow Studies | p. 29 |
Challenges to Load How in Smart Grid and Weaknesses of the Present Load Flow Methods | p. 30 |
Load Flow State of the Art: Classical, Extended Formulations, and Algorithms | p. 31 |
Gauss-Seidal Method | p. 31 |
Newton-Raphson Method | p. 32 |
Fast Decouple Method | p. 33 |
Distribution Load Flow Methods | p. 33 |
Congestion Management Effect | p. 37 |
Load Flow for Smart Grid Design | p. 38 |
Cases for the Development of Stochastic Dynamic Optimal Power How (DSOPF) | p. 41 |
DSOPF Application to the Smart Grid | p. 41 |
Static Security Assessment (SSA) and Contingencies | p. 43 |
Contingencies and Their Classification | p. 44 |
Steady-State Contingency Analysis | p. 46 |
Performance Indices | p. 47 |
Sensitivity-Based Approaches | p. 48 |
Contingency Studies for the Smart Grid | p. 48 |
Summary | p. 49 |
References | p. 50 |
Suggested Readings | p. 50 |
Stability Analysis Tools for Smart Grid | p. 51 |
Introduction to Stability | p. 51 |
Strengths and Weaknesses of Existing Voltage Stability Analysis. Tools | p. 51 |
Voltage Stability Assessment | p. 56 |
Voltage Stability and Voltage Collapse | p. 57 |
Classification of Voltage Stability | p. 58 |
Static Stability (Type I Instability) | p. 59 |
Dynamic Stability (Type II Instability) | p. 59 |
Analysis Techniques for Dynamic Voltage Stability Studies | p. 60 |
Voltage Stability Assessment Techniques | p. 62 |
Voltage Stability Indexing | p. 65 |
Analysis Techniques for Steady-State Voltage Stability Studies | p. 68 |
Direct Methods for Detecting Voltage Collapse Points | p. 69 |
Indirect Methods (Continuation Methods) | p. 69 |
Application and Implementation Plan of Voltage Stability | p. 70 |
Optimizing Stability Constraint through Preventive Control of Voltage Stability | p. 71 |
Angle Stability Assessment | p. 73 |
Transient Stability | p. 75 |
Stability Application to a Practical Power System | p. 76 |
Boundary of the Region of Stability | p. 77 |
Algorithm to Find the Controlling UEP | p. 80 |
Process Changes in Design of DSA for the Smart Grid | p. 80 |
State Estimation | p. 81 |
Mathematical Formulations for Weighted Least Square Estimation | p. 84 |
Detection and Identification of Bad Data | p. 86 |
Pre-Estimation Analysis | p. 86 |
Postestimation Analysis | p. 88 |
Robust State Estimation | p. 90 |
SE for the Smart Grid Environment | p. 94 |
Real-Time Network Modeling | p. 95 |
Approach of the Smart Grid to State Estimation | p. 95 |
Dynamic State Estimation | p. 97 |
Summary | p. 98 |
References | p. 98 |
Suggested Readings | p. 98 |
Computational Tools for Smart Grid Design | p. 100 |
Introduction to Computational Tools | p. 100 |
Decision Support Tools (DS) | p. 101 |
Analytical Hierarchical Programming (AHP) | p. 102 |
Optimization Techniques | p. 103 |
Classical Optimization Method | p. 103 |
Linear Programming | p. 103 |
Nonlinear Programming | p. 105 |
Integer Programming | p. 106 |
Dynamic Programming | p. 107 |
Stochastic Programming and Chance Constrained Programming (CCP) | p. 107 |
Heuristic Optimization | p. 108 |
Artificial Neural Networks (ANN) | p. 109 |
Expert Systems (ES) | p. 111 |
Evolutionary Computational Techniques | p. 112 |
Genetic Algorithm (GA) | p. 112 |
Particle Swarm Optimization (PSO) | p. 113 |
Ant Colony Optimization | p. 113 |
Adaptive Dynamic Programming Techniques | p. 115 |
Pareto Methods | p. 117 |
Hybridizing Optimization Techniques and Applications to the Smart Grid | p. 118 |
Computational Challenges | p. 118 |
Summary | p. 119 |
References | p. 120 |
Pathway for Designing Smart Grid | p. 122 |
Introduction to Smart Grid Pathway Design | p. 122 |
Barriers and Solutions to Smart Grid Development | p. 122 |
Solution Pathways for Designing Smart Grid Using Advanced Optimization and Control Techniques for Selection Functions | p. 125 |
General Level Automation | p. 125 |
Reliability | p. 125 |
Stability | p. 127 |
Economic Dispatch | p. 127 |
Unit Commitment | p. 128 |
Security Analysis | p. 130 |
Bulk Power Systems Automation of the Smart Grid at Transmission Level | p. 130 |
Fault and Stability Diagnosis | p. 131 |
Reactive Power Control | p. 132 |
Distribution System Automation Requirement of the Power Grid | p. 132 |
Voltage/VAr Control | p. 132 |
Power Quality | p. 135 |
Network Reconfiguration | p. 136 |
Demand-Side Management | p. 136 |
Distribution Generation Control | p. 137 |
End User/Appliance Level of the Smart Grid | p. 137 |
Applications for Adaptive Control and Optimization | p. 137 |
Summary | p. 138 |
References | p. 138 |
Suggested Reading | p. 139 |
Renewable Energy and Storage | p. 140 |
Renewable Energy Resources | p. 140 |
Sustainable Energy Options for the Smart Grid | p. 141 |
Solar Energy | p. 141 |
Solar Power Technology | p. 142 |
Modeling PV Systems | p. 142 |
Wind Turbine Systems | p. 144 |
Biomass-Bioenergy | p. 145 |
Small and Micro Hydropower | p. 147 |
Fuel Cell | p. 147 |
Geothermal Heat Pumps | p. 148 |
Penetration and Variability Issues Associated with Sustainable Energy Technology | p. 148 |
Demand Response Issues | p. 150 |
Electric Vehicles and Plug-in Hybrids | p. 151 |
PHEV Technology | p. 151 |
Impact of PHEV on the Grid | p. 151 |
Environmental Implications | p. 152 |
Climate Change | p. 153 |
Implications of Climate Change | p. 153 |
Storage Technologies | p. 154 |
Tax Credits | p. 158 |
Summary | p. 159 |
References | p. 159 |
Suggested Reading | p. 159 |
Interoperability, Standards, and Cyber Security | p. 160 |
Introduction | p. 160 |
Interoperability | p. 161 |
State-of-the- Art-Interoperability | p. 161 |
Benefits and Challenges of Interoperability | p. 161 |
Model for Interoperability in the Smart Grid Environment | p. 162 |
Smart Grid Network Interoperability | p. 162 |
Interoperability and Control of the Power Grid | p. 163 |
Standards | p. 163 |
Approach to Smart Grid Interoperability Standards | p. 163 |
Smart Grid Cyber Security | p. 166 |
Cyber Security State of the Art | p. 166 |
Cyber Security Risks | p. 169 |
Cyber Security Concerns Associated with AMI | p. 171 |
Mitigation Approach to Cyber Security Risks | p. 171 |
Cyber Security and Possible Operation for Improving Methodology for Other Users | p. 173 |
Summary | p. 174 |
References | p. 174 |
Suggested Readings | p. 174 |
Research, Education, and Training for the Smart Grid | p. 176 |
Introduction | p. 176 |
Research Areas for Smart Grid Development | p. 176 |
Research Activities in the Smart Grid | p. 178 |
Multidisciplinary Research Activities | p. 178 |
Smart Grid Education | p. 179 |
Module 1: Introduction | p. 180 |
Module 2: Architecture | p. 180 |
Module 3: Functions | p. 181 |
Module 4: Tools and Techniques | p. 181 |
Module 5: Pathways to Design | p. 181 |
Module 6: Renewable Energy Technologies | p. 181 |
Module 7: Communication Technologies | p. 182 |
Module 8: Standards, Interoperability, and Cyber Security | p. 182 |
Module 9: Case Studies and Testbeds | p. 182 |
Training and Professional Development | p. 182 |
Summary | p. 183 |
References | p. 183 |
Case Studies and Testbeds for the Smart Grid | p. 184 |
Introduction | p. 184 |
Demonstration Projects | p. 184 |
Advanced Metering | p. 185 |
Microgrid with Renewable Energy | p. 185 |
Power System Unit Commitment (UC) Problem | p. 186 |
ADP for Optimal Network Reconfiguration in Distribution Automation | p. 191 |
Case Study of RER Integration | p. 196 |
Description of Smart Grid Activity | p. 196 |
Approach for Smart Grid Application | p. 196 |
Testbeds and Benchmark Systems | p. 197 |
Challenges of Smart Transmission | p. 198 |
Benefits of Smart Transmission | p. 198 |
Summary | p. 198 |
References | p. 199 |
Epilogue | p. 200 |
Index | p. 203 |
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