Electrical Transmission System Cascades and Vulnerability
An Operations Research Viewpoint
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Part of MPS-SIAM Series on Optimization
- Author: Daniel Bienstock, Columbia University, New York
- Date Published: October 2016
- availability: Available in limited markets only
- format: Paperback
- isbn: 9781611974157
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The power grid can be considered one of twentieth-century engineering's greatest achievements and, as grids and populations grow, robustness is a factor that planners must take into account. Since the underlying physics is mathematically complex, and modeling is complicated by lack of accurate data, power grid robustness is a complex problem. This book sheds light on this problem by introducing the engineering details of power grid operations from the basic to the detailed; describing how to use optimization and stochastic modeling, with special focus on the modeling of cascading failures and robustness; providing numerical examples that show 'how things work'; and detailing the application of a number of optimization theories to power grids. As a result, it will be useful to both operations researchers wishing to learn about power grids, as well as power engineers seeking an in-depth understanding of optimization methodologies and the rigorous thinking used in optimization.
Read more- Introduces from scratch a number of engineering details of power grid operations
- Provides numerical examples to show 'how things work'
- Discusses the application of a number of optimization theories to power grids
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×Product details
- Date Published: October 2016
- format: Paperback
- isbn: 9781611974157
- length: 304 pages
- dimensions: 254 x 177 x 18 mm
- weight: 0.64kg
- availability: Available in limited markets only
Table of Contents
Preface
1. Power engineering basics
2. Computations with the AC power flow model
3. N-K problem
4. Modeling transmission system cascades: a survey
5. Toward more comprehensive cascade models
6. Online cascade control
Appendix A. Glossary
Appendix B. Complete power flow derivations
Bibliography
Index.
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