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Advances in Electric Power and Energy
Static State Estimation
Mohamed E. El-Hawary (Edited by), M El–Hawary (Author)
9781119480464, Wiley
Hardback, published 15 January 2021
512 pages
1 x 1 x 1 cm, 0.454 kg
A guide to the role of static state estimation in the mitigation of potential system failures With contributions from a noted panel of experts on the topic, Advances in Electric Power and Energy: Static State Estimation addresses the wide-range of issues concerning static state estimation as a main energy control function and major tool for evaluating prevailing operating conditions in electric power systems worldwide. This book is an essential guide for system operators who must be fully aware of potential threats to the integrity of their own and neighboring systems. The contributors provide an overview of the topic and review common threats such as cascading black-outs to model-based anomaly detection to the operation of micro-grids and much more. The book also includes a discussion of an effective mathematical programming approach to state estimation in power systems. Advances in Electric Power and Energy reviews the most recent developments in the field and: Written for electric power system planners, operators, consultants, power system software developers, and academics, Advances in Electric Power and Energy is the authoritative guide to the topic with contributions from experts who review the most recent developments.
About the Editor xi About the Contributors xiii Chapter 1 General Considerations 1 1.1 Prelude 1 1.2 Defining SSE 2 1.3 The Need for State Estimation 3 1.4 Static State Estimation in Practice 4 1.5 Applications That Use SE Solution 10 1.6 Overview of Chapters 13 Chapter 2 State Estimation In Power Systems Based On A Mathematical Programming Approach 23 2.1 Introduction 23 2.2 Formulation 24 2.3 Classical State Estimation Procedure 26 2.4 Mathematical Programming Solution 31 2.5 Alternative State Estimators 32 Part 1 System Failure Mitigation 59 Chapter 3 System Stress and Cascading Blackouts 61 3.1 Introduction 61 3.2 Cascading Blackouts and Previous Work 62 3.3 Problem Statement and Approach 66 3.4 DFAXes, Vulnerability, and Criticality Metrics 70 3.5 Validity of Metrics 78 3.6 Studies with Metrics 82 3.7 Summary 93 3.8 Application of Stress Metrics 94 3.9 Conclusions 94 Chapter 4 Model-Based Anomaly Detection For Power System State Estimation 99 4.1 Introduction 99 4.2 Cyberattacks on State Estimation 100 4.3 ATTACK-RESILIENT State Estimation 103 4.4 Model-Based Anomaly Detection 106 4.5 Conclusions 117 Chapter 5 Protection, Control, and Operation of Microgrids 123 5.1 Prelude 123 5.2 Introduction 126 5.3 State of the Art in Microgrid Protection and Control 128 5.4 Emerging Technologies 146 5.5 Test Case for DDSE 154 5.6 Test Results 159 5.7 Test Case for Adaptive Setting-Less Protection 161 5.8 Conclusions 167 Part 2 Robust State Estimation 171 Chapter 6 PSSE Redux: Convex Relaxation, Decentralized, Robust, And Dynamic Solvers 173 6.1 Introduction 173 6.2 Power Grid Modeling 174 6.3 Problem Statement 176 6.4 Distributed Solvers 186 6.5 Robust Estimators and Cyberattacks 193 6.6 Power System State Tracking 198 6.7 Discussion 202 Chapter 7 Robust Wide-Area Fault Visibility and Structural Observability In Power Systems With Synchronized Measurement Units 209 7.1 Introduction 209 7.2 Robust Fault Visibility Using Strategically Deployed Synchronized Measurements 210 7.3 Optimal PMU Deployment for System-Wide Structural Observability 221 7.4 Conclusions 229 Chapter 8 A Robust Hybrid Power System State Estimator With Unknown Measurement Noise 231 8.1 Introduction 231 8.2 Problem Statement 233 8.3 Proposed Framework for Robust Hybrid State Estimation 234 8.4 Numerical Results 245 8.5 Conclusions 249 Chapter 9 Least-Trimmed-Absolute-Value State Estimator 255 9.1 Bad Data Detection and Robust Estimators 256 9.2 Results and Discussion 266 9.3 Conclusions 287 Part 3 State Estimation For Distribution Systems 295 Chapter 10 Probabilistic State Estimation In Distribution Networks 297 10.1 Introduction 297 10.2 State Estimation in Distribution Networks 298 10.3 Improving Observability in Distribution Networks 309 10.4 Conclusion 324 Chapter 11 Advanced Distribution System State Estimation In Multi-Area Architectures 329 11.1 Issues and Challenges of Distribution System State Estimation 329 11.2 Distribution System Multi-Area State Estimation (DS-MASE) Approach 342 11.3 Application of the DS-MASE Approach 357 11.4 Validity and Applicability of DS-MASE Approach 369 Part 4 Parallel/Distributed Processing 375 Chapter 12 Hierarchical Multi-Area State Estimation 377 12.1 Introduction 377 12.2 Preliminaries 381 12.3 Modeling and Problem Formulation 385 12.4 A Brief Survey of Solution Techniques 387 12.5 Hierarchical State Estimator Via Sensitivity Function Exchanges 393 12.6 Add-On Functions in Multi-area State Estimation 399 12.7 Properties 401 12.8 Simulations 405 12.9 Conclusions 409 Chapter 13 Parallel Domain-Decomposition-Based Distributed State Estimation For Large-Scale Power Systems 413 13.1 Introduction 413 13.2 Fundamental Theory and Formulation 416 13.3 Experimental Results 436 13.4 Conclusion 449 Chapter 14 Dishonest Gauss–Newton Method-Based Power System State Estimation On A GPU 455 14.1 Introduction 455 14.2 Background 456 14.3 Performance of Dishonest Gauss–Newton Method 461 14.4 GPU Implementation 463 14.5 Simulation Results 467 14.6 Discussions on Scalability 468 14.7 Distributed Method of Parallelization 470 14.8 Conclusions 473 Index 475
Subject Areas: Electronics & communications engineering [TJ]
