Momentum-Accelerated Online Feedback Optimization for Power System Flexibility

TL;DR

This paper introduces a momentum-accelerated online feedback optimization controller for power system flexibility, demonstrating faster convergence and effective real-time coordination in large-scale systems.

Contribution

It proposes a novel momentum-augmented projection-step in online feedback optimization, enhancing convergence speed and dynamic performance for power system flexibility management.

Findings

Faster convergence in congestion management scenarios

Maintains constraint satisfaction during operation

Effective multi-layer flexibility dispatch

Abstract

Flexibility is increasingly gaining importance in modern power system operation. This paper presents a controller framework based on Online Feedback Optimization for real-time coordination of power system flexibility. The proposed approach introduces a momentum-augmented projection-step to accelerate convergence and improve dynamic performance. We derive the controller formulation, and evaluate its performance and stability in two representative case studies. The first examines online congestion management in distribution feeders, and the second addresses multi-layer flexibility dispatch across system interfaces. Numerical results demonstrate that the momentum-based controller achieves faster convergence and maintains constraint satisfaction, highlighting its potential for real-time flexibility control in large-scale power systems.