Ebook: Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence
- Tags: Power Engineering, Electrical Power Generation and Transmission, Renewable Energy Sources
- Series: Power Electronics and Power Systems
- Year: 2005
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction.
This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.
Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction.
This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.
Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction.
This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.
Content:
Front Matter....Pages i-xxxii
Applied Mathematics for Restructured Electric Power Systems....Pages 1-9
Reactive Power and Voltage Control Issues in Electric Power Systems....Pages 11-24
Identification of Weak Locations in Bulk Transmission Systems Using Voltage Stability Margin Index....Pages 25-37
Bifurcation and Manifold Based Approach for Voltage and Oscillatory Stability Assessment and Control....Pages 39-62
On-Line ATC Evaluation for Large-Scale Power Systems: Framework and Tool....Pages 63-103
Automating Operation of Large Electric Power Systems Over Broad Ranges of Supply/Demand and Equipment Status....Pages 105-137
Robust Control of Large Power Systems VIA Convex Optimization....Pages 139-158
Instability Monitoring and Control of Power Systems....Pages 159-178
Dynamic Embedded Optimization and Shooting Methods for Power System Performance Assessment....Pages 179-199
Computational Intelligence Techniques for Control of FACTS Devices....Pages 201-237
Placement and Coordinated Tuning of Control Devices for Capacity and Security Enhancement Using Metaheuristics....Pages 239-267
Load Forecasting....Pages 269-285
Independent Component Analysis Techniques for Power System Load Estimation....Pages 287-317
Back Matter....Pages 319-323
Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction.
This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.
Content:
Front Matter....Pages i-xxxii
Applied Mathematics for Restructured Electric Power Systems....Pages 1-9
Reactive Power and Voltage Control Issues in Electric Power Systems....Pages 11-24
Identification of Weak Locations in Bulk Transmission Systems Using Voltage Stability Margin Index....Pages 25-37
Bifurcation and Manifold Based Approach for Voltage and Oscillatory Stability Assessment and Control....Pages 39-62
On-Line ATC Evaluation for Large-Scale Power Systems: Framework and Tool....Pages 63-103
Automating Operation of Large Electric Power Systems Over Broad Ranges of Supply/Demand and Equipment Status....Pages 105-137
Robust Control of Large Power Systems VIA Convex Optimization....Pages 139-158
Instability Monitoring and Control of Power Systems....Pages 159-178
Dynamic Embedded Optimization and Shooting Methods for Power System Performance Assessment....Pages 179-199
Computational Intelligence Techniques for Control of FACTS Devices....Pages 201-237
Placement and Coordinated Tuning of Control Devices for Capacity and Security Enhancement Using Metaheuristics....Pages 239-267
Load Forecasting....Pages 269-285
Independent Component Analysis Techniques for Power System Load Estimation....Pages 287-317
Back Matter....Pages 319-323
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