Convex Optimization of Power Systems

Joshua Adam Taylor (University of Toronto)

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Hardback

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English

Cambridge University Press
12 February 2015

Optimisation; Nuclear power & engineering; Alternative & renewable energy sources & technology; Satellite communication

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.

By: Joshua Adam Taylor (University of Toronto)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 253mm, Width: 180mm, Spine: 14mm
Weight: 580g
ISBN: 9781107076877
ISBN 10: 1107076870
Pages: 209
Publication Date: 12 February 2015
Audience: Professional and scholarly , Professional and scholarly , Undergraduate , Undergraduate
Format: Hardback
Publisher's Status: Active

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

Joshua Adam Taylor is an Assistant Professor of Electrical and Computer Engineering at the University of Toronto.