Smart grid communication infrastructures : big data, cloud computing, and security /
A COMPREHENSIVE RESOURCE COVERING ALL THE KEY AREAS OF SMART GRID COMMUNICATION INFRASTRUCTURES Smart grid is a transformational upgrade to the traditional power grid that adds communication capabilities, intelligence and modern control. Smart Grid Communication Infrastructures is a comprehensive gu...
Clasificación: | Libro Electrónico |
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Autores principales: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Hoboken, NJ :
John Wiley & Sons,
2018.
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Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 1 Background of the Smart Grid 1
- 1.1 Motivations and Objectives of the Smart Grid 1
- 1.1.1 Better Renewable Energy Resource Adaption 2
- 1.1.2 Grid Operation Efficiency Advancement 3
- 1.1.3 Grid Reliability and Security Improvement 4
- 1.2 Smart Grid Communications Architecture 5
- 1.2.1 Conceptual Domain Model 6
- 1.2.2 Two-Way Communications Network 7
- 1.3 Applications and Requirements 9
- 1.3.1 Demand Response 9
- 1.3.2 Advanced Metering Infrastructure 10
- 1.3.3 Wide-Area Situational Awareness and Wide-Area Monitoring Systems 11
- 1.3.4 Communication Networks and Cybersecurity 12
- 1.4 The Rest of the Book 13
- 2 Smart Grid Communication Infrastructures 15
- 2.1 An ICT Framework for the Smart Grid 15
- 2.1.1 Roles and Benefits of an ICT Framework 15
- 2.1.2 An Overview of the Proposed ICT Framework 16
- 2.2 Entities in the ICT Framework 18
- 2.2.1 Internal Data Collectors 18
- 2.2.2 Control Centers 20
- 2.2.3 Power Generators 22
- 2.2.4 External Data Sources 23
- 2.3 Communication Networks and Technologies 23
- 2.3.1 Private and Public Networks 23
- 2.3.2 Communication Technologies 25
- 2.4 Data Communication Requirements 30
- 2.4.1 Latency and Bandwidth 31
- 2.4.2 Interoperability 32
- 2.4.3 Scalability 32
- 2.4.4 Security 32
- 2.5 Summary 33
- 3 Self-Sustaining Wireless Neighborhood-Area Network Design 35
- 3.1 Overview of the Proposed NAN 35
- 3.1.1 Background and Motivation of a Self-Sustaining Wireless NAN 35
- 3.1.2 Structure of the Proposed NAN 37
- 3.2 Preliminaries 38
- 3.2.1 Charging Rate Estimate 39
- 3.2.2 Battery-Related Issues 40
- 3.2.3 Path Loss Model 41
- 3.3 Problem Formulations and Solutions in the NAN Design 44
- 3.3.1 The Cost Minimization Problem 44
- 3.3.2 Optimal Number of Gateways 48
- 3.3.3 Geographical Deployment Problem for Gateway DAPs 51
- 3.3.4 Global Uplink Transmission Power Efficiency 54
- 3.4 Numerical Results 56
- 3.4.1 Evaluation of the Optimal Number of Gateways 56
- 3.4.2 Evaluation of the Global Power Efficiency 56.
- 3.4.3 Evaluation of the Global Uplink Transmission Rates 58
- 3.4.4 Evaluation of the Global Power Consumption 59
- 3.4.5 Evaluation of the Minimum Cost Problem 59
- 3.5 Case Study 63
- 3.6 Summary 65
- 4 Reliable Energy-Efficient Uplink Transmission Power Control Scheme in NAN 67
- 4.1 Background and RelatedWork 67
- 4.1.1 Motivations and Background 67
- 4.1.2 RelatedWork 69
- 4.2 SystemModel 70
- 4.3 Preliminaries 71
- 4.3.1 Mathematical Formulation 72
- 4.3.2 Energy Efficiency Utility Function 73
- 4.4 Hierarchical Uplink Transmission Power Control Scheme 75
- 4.4.1 DGD Level Game 76
- 4.4.2 BGD Level Game 77
- 4.5 Analysis of the Proposed Schemes 78
- 4.5.1 Estimation of B and D 78
- 4.5.2 Analysis of the Proposed Stackelberg Game 80
- 4.5.3 Algorithms to Approach NE and SE 84
- 4.6 Numerical Results 85
- 4.6.1 Simulation Settings 85
- 4.6.2 Estimate of D and B 86
- 4.6.3 Data Rate Reliability Evaluation 87
- 4.6.4 Evaluation of the Proposed Algorithms to Achieve NE and SE 88
- 4.7 Summary 90
- 5 Design and Analysis of a Wireless Monitoring Network for Transmission Lines in the Smart Grid 91
- 5.1 Background and RelatedWork 91
- 5.1.1 Background and Motivation 91
- 5.1.2 RelatedWork 93
- 5.2 Network Model 94
- 5.3 Problem Formulation 96
- 5.4 Proposed Power Allocation Schemes 99
- 5.4.1 Minimizing Total Power Usage 100
- 5.4.2 Maximizing Power Efficiency 101
- 5.4.3 Uniform Delay 104
- 5.4.4 Uniform Transmission Rate 104
- 5.5 Distributed Power Allocation Schemes 105
- 5.6 Numerical Results and A Case Study 107
- 5.6.1 Simulation Settings 107
- 5.6.2 Comparison of the Centralized Schemes 108
- 5.6.3 Case Study 111
- 5.7 Summary 113
- 6 A Real-Time Information-Based Demand-Side Management System 115
- 6.1 Background and RelatedWork 115
- 6.1.1 Background 115
- 6.1.2 RelatedWork 117
- 6.2 System Model 118
- 6.2.1 The Demand-Side Power Management System 118
- 6.2.2 MathematicalModeling 120
- 6.2.3 Energy Cost and Unit Price 122.
- 6.3 Centralized DR Approaches 124
- 6.3.1 Minimize Peak-to-Average Ratio 124
- 6.3.2 Minimize Total Cost of Power Generation 125
- 6.4 GameTheoretical Approaches 128
- 6.4.1 Formulated Game 128
- 6.4.2 GameTheoretical Approach 1: Locally Computed Smart Pricing 129
- 6.4.3 GameTheoretical Approach 2: Semifixed Smart Pricing 131
- 6.4.4 Mixed Approach: Mixed GA1 and GA2 132
- 6.5 Precision and Truthfulness of the Proposed DR System 132
- 6.6 Numerical and Simulation Results 132
- 6.6.1 Settings 132
- 6.6.2 Comparison of 1, 2 and GA1 135
- 6.6.3 Comparison of Different Distributed Approaches 136
- 6.6.4 The Impact from Energy Storage Unit 141
- 6.6.5 The Impact from Increasing Renewable Energy 143
- 6.7 Summary 145
- 7 Intelligent Charging for Electric Vehicles-Scheduling in Battery Exchanges Stations 147
- 7.1 Background and RelatedWork 147
- 7.1.1 Background and Overview 147
- 7.1.2 RelatedWork 149
- 7.2 System Model 150
- 7.2.1 Overview of the Studied System 150
- 7.2.2 Mathematical Formulation 151
- 7.2.3 Customer Estimation 152
- 7.3 Load Scheduling Schemes for BESs 154
- 7.3.1 Constraints for a BES si 154
- 7.3.2 Minimizing PAR: Problem Formulation and Analysis 156
- 7.3.3 Problem Formulation and Analysis for Minimizing Costs 156
- 7.3.4 GameTheoretical Approach 159
- 7.4 Simulation Analysis and Results 161
- 7.4.1 Settings for the Simulations 161
- 7.4.2 Impact of the Proposed DSM on PAR 163
- 7.4.3 Evaluation of BESs Equipment Settings 164
- 7.4.3.1 Number of Charging Ports 164
- 7.4.3.2 Maximum Number of Fully Charged Batteries 164
- 7.4.3.3 Preparation at the Beginning of Each Day 165
- 7.4.3.4 Impact on PAR from BESs 166
- 7.4.4 Evaluations of the GameTheoretical Approach 167
- 7.5 Summary 169
- 8 Big Data Analytics and Cloud Computing in the Smart Grid 171
- 8.1 Background and Motivation 171
- 8.1.1 Big Data Era 171
- 8.1.2 The Smart Grid and Big Data 173
- 8.2 Pricing and Energy Forecasts in Demand Response 174.
- 8.2.1 An Overview of Pricing and Energy Forecasts 174
- 8.2.2 A Case Study of Energy Forecasts 176
- 8.3 Attack Detection 179
- 8.3.1 An Overview of Attack Detection in the Smart Grid 179
- 8.3.2 Current Problems and Techniques 180
- 8.4 Cloud Computing in the Smart Grid 182
- 8.4.1 Basics of Cloud Computing 182
- 8.4.2 Advantages of Cloud Computing in the Smart Grid 183
- 8.4.3 A Cloud Computing Architecture for the Smart Grid 184
- 8.5 Summary 185
- 9 A Secure Data Learning Scheme for Big Data Applications in the Smart Grid 187
- 9.1 Background and RelatedWork 187
- 9.1.1 Motivation and Background 187
- 9.1.2 RelatedWork 189
- 9.2 Preliminaries 190
- 9.2.1 Classic Centralized Learning Scheme 190
- 9.2.2 Supervised LearningModels 191
- 9.2.2.1 Supervised Regression Learning Model 191
- 9.2.2.2 Regularization Term 191
- 9.2.3 Security Model 192
- 9.3 Secure Data Learning Scheme 193
- 9.3.1 Data Learning Scheme 193
- 9.3.2 The Proposed Security Scheme 194
- 9.3.2.1 Privacy Scheme 194
- 9.3.2.2 Identity Protection 195
- 9.3.3 Analysis of the Learning Process 197
- 9.3.4 Analysis of the Security 197
- 9.4 Smart Metering Data Set Analysis-A Case Study 198
- 9.4.1 Smart Grid AMI and Metering Data Set 198
- 9.4.2 Regression Study 200
- 9.5 Conclusion and FutureWork 203
- 10 Security Challenges in the Smart Grid Communication Infrastructure 205
- 10.1 General Security Challenges 205
- 10.1.1 Technical Requirements 205
- 10.1.2 Information Security Domains 207
- 10.1.3 Standards and interoperability 207
- 10.2 Logical Security Architecture 207
- 10.2.1 Key Concepts and Assumptions 207
- 10.2.2 Logical Interface Categories 209
- 10.3 Network Security Requirements 210
- 10.3.1 Utility-Owned Private Networks 210
- 10.3.2 Public Networks in the Smart Grid 212
- 10.4 Classification of Attacks 213
- 10.4.1 Component-Based Attacks 213
- 10.4.2 Protocol-Based Attacks 214
- 10.5 Existing Security Solutions 215
- 10.6 Standardization and Regulation 216.
- 10.6.1 Commissions and Considerations 217
- 10.6.2 Selected Standards 217
- 10.7 Summary 219
- 11 Security Schemes for AMI Private Networks 221
- 11.1 Preliminaries 221
- 11.1.1 Security Services 221
- 11.1.2 Security Mechanisms 222
- 11.1.3 Notations of the Keys Used inThis Chapter 223
- 11.2 Initial Authentication 223
- 11.2.1 An Overview of the Proposed Authentication Process 223
- 11.2.1.1 DAP Authentication Process 224
- 11.2.1.2 Smart Meter Authentication Process 225
- 11.2.2 The Authentication Handshake Protocol 226
- 11.2.3 Security Analysis 229
- 11.3 Proposed Security Protocol in Uplink Transmissions 230
- 11.3.1 Single-Traffic Uplink Encryption 231
- 11.3.2 Multiple-Traffic Uplink Encryption 232
- 11.3.3 Decryption Process in Uplink Transmissions 233
- 11.3.4 Security Analysis 235
- 11.4 Proposed Security Protocol in Downlink Transmissions 235
- 11.4.1 Broadcast Control Message Encryption 236
- 11.4.2 One-to-One Control Message Encryption 236
- 11.4.3 Security Analysis 237
- 11.5 Domain Secrets Update 238
- 11.5.1 AS Public/Private Keys Update 238
- 11.5.2 Active Secret Key Update 238
- 11.5.3 Preshared Secret Key Update 239
- 11.6 Summary 239
- 12 Security Schemes for Smart Grid Communications over Public Networks 241
- 12.1 Overview of the Proposed Security Schemes 241
- 12.1.1 Background and Motivation 241
- 12.1.2 Applications of the Proposed Security Schemes in the Smart Grid 242
- 12.2 Proposed ID-Based Scheme 244
- 12.2.1 Preliminaries 244
- 12.2.2 Identity-Based Signcryption 245
- 12.2.2.1 Setup 245
- 12.2.2.2 Keygen 245
- 12.2.2.3 Signcryption 246
- 12.2.2.4 Decryption 246
- 12.2.2.5 Verification 246
- 12.2.3 Consistency of the Proposed IBSC Scheme 247
- 12.2.4 Identity-Based Signature 247
- 12.2.4.1 Signature 248
- 12.2.4.2 Verification 248
- 12.2.5 Key Distribution and Symmetrical Cryptography 248
- 12.3 Single Proxy Signing Rights Delegation 249
- 12.3.1 Certificate Distribution by the Local Control Center 249.
- 12.3.2 Signing Rights Delegation by the PKG 250
- 12.3.3 Single Proxy Signature 250
- 12.4 Group Proxy Signing Rights Delegation 251
- 12.4.1 Certificate Distribution 251
- 12.4.2 Partial Signature 251
- 12.4.3 Group Signature 251
- 12.5 Security Analysis of the Proposed Schemes 252
- 12.5.1 Assumptions for Security Analysis 252
- 12.5.2 Identity-Based Encryption Security 253
- 12.5.2.1 Security Model 253
- 12.5.2.2 Security Analysis 253
- 12.5.3 Identity-Based Signature Security 255
- 12.5.3.1 Security Models 255
- 12.5.3.2 Security Analysis 256
- 12.6 Performance Analysis of the Proposed Schemes 258
- 12.6.1 Computational Complexity of the Proposed Schemes 258
- 12.6.2 Choosing Bilinear Paring Functions 259
- 12.6.3 Numerical Results 260
- 12.7 Conclusion 261
- 13 Open Issues and Possible Future Research Directions 263
- 13.1 Efficient and Secure Cloud Services and Big Data Analytics 263
- 13.2 Quality-of-Service Framework 263
- 13.3 Optimal Network Design 264
- 13.4 Better Involvement of Green Energy 265
- 13.5 Need for Secure Communication Network Infrastructure 265
- 13.6 Electrical Vehicles 265
- Reference 267
- Index 287.