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Convex Optimization of Power Systems

Authors

Joshua Adam Taylor
, University of Toronto
Published 2015

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…

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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

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