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| Preface | p. ix |
| Contributors | p. xi |
| A Framework for Interdisciplinary Research and Education | p. 1 |
| Introduction | p. 1 |
| Power System Challenges | p. 4 |
| The Power System Modeling and Computational Challenge | p. 5 |
| Modeling and Computational Techniques | p. 6 |
| New Interdisciplinary Curriculum for the Electric Power Network | p. 6 |
| Solution of the EPNES ... MORE | p. 6 |
| Modular Description of the EPNES Architecture | p. 6 |
| Some Expectations of Studies Using EPNES Benchmark Test Beds | p. 7 |
| Test Beds for EPNES | p. 8 |
| Power System Model for the Navy | p. 8 |
| Civil Test Bed-179-Bus WSCC Benchmark Power System | p. 10 |
| Examples of Funded Research Work in Response to the EPNES Solicitation | p. 10 |
| Funded Research by Topical Areas/Groups under the EPNES Award | p. 10 |
| EPNES Award Distribution | p. 12 |
| Future Directions of EPNES | p. 13 |
| Conclusions | p. 14 |
| Dynamical Models in Fault-Tolerant Operation and Control of Energy Processing Systems | p. 15 |
| Introduction | p. 15 |
| Model-Based Fault Detection | p. 16 |
| Fault Detection via Analytic Redundancy | p. 17 |
| Failure Detection Filters | p. 17 |
| Detuning Detection and Accommodation on IFOC-Driven Induction Motors | p. 19 |
| Detuned Operation of Current-Fed Indirect Field-Oriented Controlled Induction Motors | p. 20 |
| Detection of the Detuned Operation | p. 24 |
| Estimation of the Magnetizing Flux | p. 26 |
| Accommodation of the Detuning Operation | p. 27 |
| Simulations | p. 28 |
| Broken Rotor Bar Detection on IFOC-Driven Induction Motors | p. 28 |
| Squirrel Cage Induction Motor Model with Broken Rotor Bars | p. 29 |
| Broken Rotor Bar Detection | p. 31 |
| Fault Detection on Power Systems | p. 35 |
| The Model | p. 35 |
| Class of Events | p. 37 |
| The Navy Electric Ship Example | p. 38 |
| Fault Detection Scheme | p. 39 |
| Numerical Simulations | p. 41 |
| Conclusions | p. 43 |
| Intelligent Power Routers: Distributed Coordination for Electric Energy Processing Networks | p. 47 |
| Introduction | p. 47 |
| Overview of the Intelligent Power Router Concept | p. 48 |
| IPR Architecture and Software Module | p. 50 |
| IPR Communication Protocols | p. 55 |
| State of the Art | p. 55 |
| Restoration of Electrical Energy Networks with IPRs | p. 59 |
| Mathematical Formulation | p. 60 |
| IPR Network Architecture | p. 60 |
| Islanding-Zone Approach via IPR | p. 61 |
| Negotiation in Two Phases | p. 62 |
| Experimental Results | p. 65 |
| Risk Assessment of a System Operating with IPR | p. 65 |
| IPR Components | p. 65 |
| Configuration | p. 66 |
| Example | p. 66 |
| Distributed Control Models | p. 71 |
| Distributed Control of Electronic Power Distribution Systems | p. 71 |
| Integrated Power System in Ship Architecture | p. 74 |
| DC Zonal Electric Distribution System | p. 76 |
| Implementation of the Reconfiguration Logic | p. 77 |
| Conclusion | p. 77 |
| Reconfiguration | p. 79 |
| Economics Issues of the Intelligent Power Router Service | p. 79 |
| The Standard Market Design (SMD) Environment | p. 80 |
| The Ancillary Service (A/S) Context | p. 81 |
| Reliability Aspects of Ancillary Services | p. 81 |
| The IPR Technical/Social/Economical Potential for Optimality | p. 81 |
| Proposed Definition for the Intelligent Power Router Ancillary Service | p. 82 |
| Summary | p. 82 |
| Conclusions | p. 82 |
| Power Circuit Breaker Using Micromechanical Switches | p. 87 |
| Introduction | p. 87 |
| Overview of Technology | p. 88 |
| Medium Voltage Circuit Breaker | p. 88 |
| Micro-Electro-Mechanical Switches (MEMS) | p. 90 |
| The Concept of a MEMS-Based Circuit Breaker | p. 92 |
| Circuit Description | p. 92 |
| Operational Principle | p. 93 |
| Current Interruption | p. 94 |
| Switch Closing | p. 94 |
| Investigation of Switching Array Operation | p. 95 |
| Model Development | p. 97 |
| Analysis of Current Interruption and Load Energization | p. 97 |
| Effect of Delayed Opening of Switches | p. 100 |
| A Block of Switch Fails to Open | p. 102 |
| Effect of Delayed Closing of Switches | p. 103 |
| One Set of Switches Fails to Close | p. 103 |
| Summary of Simulation Results | p. 104 |
| Reliability Analyses | p. 105 |
| Approximations to Estimate Reliability | p. 106 |
| Computational Results | p. 108 |
| Proof of Principle Experiment | p. 109 |
| Circuit Breaker Construction | p. 109 |
| Control Circuit | p. 111 |
| Circuit Breaker Design | p. 114 |
| Conclusions | p. 115 |
| GIS-Based Simulation Studies for Power Systems Education | p. 119 |
| Overview | p. 119 |
| Case Studies | p. 121 |
| Generic Decision Model Structure | p. 123 |
| Simulation Modeling | p. 126 |
| Interfacing | p. 130 |
| Concepts for Modeling Power System Management and Control | p. 133 |
| Large-Scale Optimization and Hierarchical Planning | p. 133 |
| Sequential Decision Processes and Adaptation | p. 137 |
| Stochastic Decisions and Risk Modeling | p. 140 |
| Group Decision Making and Markets | p. 141 |
| Power System Simulation Objects | p. 142 |
| Grid Operation Models and Methods | p. 143 |
| Randomized Load Simulator | p. 144 |
| Market Maker | p. 146 |
| The Commitment Planner | p. 150 |
| Implementation | p. 153 |
| Distributed Generation and Momentum Change in the American Electric Utility System: A Social-Science Systems Approach | p. 157 |
| Introduction | p. 157 |
| Overview of Concepts | p. 158 |
| Using the Systems Approach to Understand Change in the Utility System | p. 158 |
| Origins and Growth of Momentum in the Electric Utility System | p. 159 |
| Politics and System Momentum Change | p. 161 |
| Application of Principles | p. 163 |
| The Possibility of Distributed Generation and New Momentum | p. 164 |
| Impediments to Decentralized Electricity Generation | p. 166 |
| Practical Consequences: Distributed Generation as a Business Enterprise | p. 168 |
| Aggregated Dispatch as a Means to Stimulate Economic Momentum with DG | p. 170 |
| Conclusion | p. 172 |
| Index | p. 177 |
| Table of Contents provided by Ingram. All Rights Reserved. |
Lamine Mili is Professor of Electrical and Computer Engineering at Virginia Tech. An IEEE Senior Member, Dr. Mili is also a member of Institute of Mathematical Statistics and the American Statistical Association. His research interests include risk assessment and management of critical infrastructures; power system analysis and control; bifurcation theory and chaos; and robust statistics as applied to engineering problems.