Convex Optimization of Power Systems
- Textbook
Description
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…
- Add bookmark
- Cite
- Share
Key features
- Demonstrates the mathematical fundamentals of power system optimization
- Contains recent, powerful convex relaxation-based approaches
- Contains a comprehensive discussion of nodal pricing and transmission rights, making a connection between duality, microeconomics, and electricity markets
About the book
- DOI https://doi.org/10.1017/CBO9781139924672
- Subjects Control Systems and Optimisation,Engineering,Optimization, OR and risk,Statistics and Probability
- Format: Hardback
- Publication date: 06 April 2015
- ISBN: 9781107076877
- Dimensions (mm): 247 x 174 mm
- Weight: 0.58kg
- Contains: 31 b/w illus. 3 tables 43 exercises
- Page extent: 209 pages
- Availability: Available
- Format: Digital
- Publication date: 28 May 2018
- ISBN: 9781139924672
Access options
Review the options below to login to check your access.
Personal login
Log in with your Cambridge Higher Education account to check access.
Purchase options
There are no purchase options available for this title.
If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.
Related content
AI generated results by Discovery for publishers [opens in a new window]
- BookAdvanced Data Analytics for Power Systems
Online publication date: 22 March 2021
- BookActa Numerica 2004
Online publication date: 04 August 2010