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Convex Relaxations in Power System Optimization: Towards Robust AC OPF (extra)
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Convex relaxations of the AC power flow equations have attracted significant interest in the power systems research community in recent years. This collection of videos provides a brief introduction to the mathematics of AC power systems, continuous nonlinear optimization, and relaxations of the power flow equations.
This lecture demonstrates how convex relaxations can be utilized to guarantee robust constraint feasibility for a stochastic variant of the AC Optimal PowerFlow problem, as presented in the reference below. The method uses convex relaxations to provide conservative bounds on the impact of uncertainty. To avoid overly conservative results, a combination of multiple convex relaxations and bound tightening is utilized.
References in the video:
LA-UR-18-26156
This lecture demonstrates how convex relaxations can be utilized to guarantee robust constraint feasibility for a stochastic variant of the AC Optimal PowerFlow problem, as presented in the reference below. The method uses convex relaxations to provide conservative bounds on the impact of uncertainty. To avoid overly conservative results, a combination of multiple convex relaxations and bound tightening is utilized.
References in the video:
LA-UR-18-26156
Convex Relaxations in Power System Optimization: Computational Hardness (4 of 8)
Convex Relaxations in Power System Optimization: Introduction (1 of 8)
Convex Relaxations in Power System Optimization: Bound Tightening (extra)
Convex Relaxations in Power System Optimization: Solution Methods for AC OPF (5 of 8)
Convex Relaxations in Power System Optimization: Tips for Relaxations of AC OPF (8 of 8)
Pascal Van Hentenryck: Convex Relaxations and Applications -- Part 1/2
Convex Relaxations in Power System Optimization: Convex Relaxation of AC OPF (7 of 8)
Convex Relaxations in Power System Optimization: Towards Robust AC OPF (extra)
Convex Relaxations in Power System Optimization: AC Optimal Power Flow (3 of 8)
Convex Relaxations in Power System Optimization: AC Power Flow (2 of 8)
Andreas Venzke: Machine Learning and Convex Relaxations for Secure Power System Operation
Convex Relaxations in Power System Optimization: Convex Relaxation (6 of 8)
Spyros Chatzivasileiadis: Introduction to DC-OPF, AC-OPF and Convex Relaxations -- Part 1/3
Andreas Venzke: Convex Relaxations of Probabilistic ACOPF for Interconnected AC and HVDC Grids
Pascal Van Hentenryck: Convex Relaxations and Applications -- Part 2/2
Lecture 4: Convex relaxation.
Spyros Chatzivasileiadis: Introduction to DC-OPF, AC-OPF and Convex Relaxations -- Part 3/3
Spyros Chatzivasileiadis: Introduction to DC-OPF, AC-OPF and Convex Relaxations -- Part 2/3
Convex Relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids
Class 12 - Convex Relaxation and Proximal Gradient
Fast Algorithms via Convex Relaxation
Ana Radovanovic - Sequential Convex Programming for OPF
Nonconvex Optimization for High-dimensional Learning: From ReLUs to Submodular Maximization
06 Optimal Power Flow - OPF
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