Optimal Power Flow with Weighted Chance Constraints and General Policies for Generation Control
Line Roald, Sidhant Misra, Michael Chertkov, G\"oran Andersson

TL;DR
This paper introduces a convex Weighted Chance Constrained Optimal Power Flow (WCC-OPF) model that handles general control policies and accounts for violation severity, improving risk management in renewable-heavy power systems.
Contribution
It presents the WCC-OPF formulation that extends standard CC-OPF to include general policies and weighted constraints, enhancing realism and computational efficiency.
Findings
WCC-OPF reduces severe overloads compared to standard CC-OPF.
Flexible control policies lower operational costs at the same risk level.
The problem remains convex for any convex weighting function.
Abstract
Due to the increasing amount of electricity generated from renewable sources, uncertainty in power system operation will grow. This has implications for tools such as Optimal Power Flow (OPF), an optimization problem widely used in power system operations and planning, which should be adjusted to account for this uncertainty. One way to handle the uncertainty is to formulate a Chance Constrained OPF (CC-OPF) which limits the probability of constraint violation to a predefined value. However, existing CC-OPF formulations and solutions are not immune to drawbacks. On one hand, they only consider affine policies for generation control, which are not always realistic and may be sub-optimal. On the other hand, the standard CC-OPF formulations do not distinguish between large and small violations, although those might carry significantly different risk. In this paper, we introduce the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
