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Convex optimization of power systems / Joshua Adam Taylor.

By: Material type: TextTextPublication details: Cambridge : Cambridge University Press, 2015.Description: xiv, 197 pages : illustrations ; 26 cmISBN:
  • 9781107076877
Subject(s): DDC classification:
  • 621.31015196 23 T243
Contents:
1. Introduction; 2. Background; 3. Optimal power flow; 4. System operation; 5. Infrastructure planning; 6. Economics; 7. Future directions.
Summary: "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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Includes bibliographical references and index.

1. Introduction;
2. Background;
3. Optimal power flow;
4. System operation;
5. Infrastructure planning;
6. Economics;
7. Future directions.

"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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