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Convex Optimization of Power Systems
About this book
Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.
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Yes, you can access Convex Optimization of Power Systems by Joshua Adam Taylor in PDF and/or ePUB format, as well as other popular books in Mathematics & Linear & Nonlinear Programming. We have over one million books available in our catalogue for you to explore.
Information
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Table of contents
- Cover
- Half-Title page
- Title page
- Copyright page
- Dedication page
- Contents
- Preface
- Acknowledgments
- Notation
- 1 Introduction
- 2 Background
- 3 Optimal power flow
- 4 System operation
- 5 Infrastructure planning
- 6 Economics
- 7 Future directions
- Index