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The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.




The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.




The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.


Content:
Front Matter....Pages 1-11
High Performance Computing in Electrical Energy Systems Applications....Pages 1-42
High Performance Computing for Power System Dynamic Simulation....Pages 43-69
Distributed Parallel Power System Simulation....Pages 71-100
A MAS-Based Cluster Computing Platform for Modern EMS....Pages 101-149
High-Performance Computing for Real-Time Grid Analysis and Operation....Pages 151-188
Dynamic Load Balancing and Scheduling for Parallel Power System Dynamic Contingency Analysis....Pages 189-209
Reconfigurable Hardware Accelerators for Power Transmission System Computation....Pages 211-228
Polynomial Preconditioning of Power System Matrices with Graphics Processing Units....Pages 229-246
Reference Network Models: A Computational Tool for Planning and Designing Large-Scale Smart Electricity Distribution Grids....Pages 247-279
Electrical Load Modeling and Simulation....Pages 281-334
On-Line Transient Stability Screening of a Practical 14,500-Bus Power System: Methodology and Evaluations....Pages 335-358
Application of HPC for Power System Operation and Electricity Market Tools for Power Networks of the Future....Pages 359-378
Back Matter....Pages 0--1


The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.


Content:
Front Matter....Pages 1-11
High Performance Computing in Electrical Energy Systems Applications....Pages 1-42
High Performance Computing for Power System Dynamic Simulation....Pages 43-69
Distributed Parallel Power System Simulation....Pages 71-100
A MAS-Based Cluster Computing Platform for Modern EMS....Pages 101-149
High-Performance Computing for Real-Time Grid Analysis and Operation....Pages 151-188
Dynamic Load Balancing and Scheduling for Parallel Power System Dynamic Contingency Analysis....Pages 189-209
Reconfigurable Hardware Accelerators for Power Transmission System Computation....Pages 211-228
Polynomial Preconditioning of Power System Matrices with Graphics Processing Units....Pages 229-246
Reference Network Models: A Computational Tool for Planning and Designing Large-Scale Smart Electricity Distribution Grids....Pages 247-279
Electrical Load Modeling and Simulation....Pages 281-334
On-Line Transient Stability Screening of a Practical 14,500-Bus Power System: Methodology and Evaluations....Pages 335-358
Application of HPC for Power System Operation and Electricity Market Tools for Power Networks of the Future....Pages 359-378
Back Matter....Pages 0--1
....
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