2019/09/06 by Miguel Picallo, Picallo, Miguel, Saverio Bolognani +3 · 2 citations
Engineering · #Electric Power System Optimization #FOS: Electrical engineering #Power System Optimization and Stability #Smart Grid Energy Management #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1909.02753
openalex publication_date 2019/09/06 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
This paper considers the problem of online feedback optimization to solve the\nAC Optimal Power Flow in real-time in power grids. This consists in\ncontinuously driving the controllable power injections and loads towards the\noptimal set-points in time-varying conditions based on real-time measurements\nperformed on the grid. However, instead of assuming noise-free full state\nmeasurement like recent feedback optimization approaches, we connect a dynamic\nState Estimation using available measurements, and study its dynamic\ninteraction with the optimization scheme. We certify stability of this\ninterconnection and the convergence in expectation of the state estimate and\nthe control inputs towards the true state values and optimal set-points\nrespectively. Additionally, we bound the resulting stochastic error. Finally,\nwe show the effectiveness of the approach on a test case using high resolution\nconsumption data.\n