Subtransmission Grid Control via Online Feedback Optimization

Fuente: arXiv
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Auteurs principaux: Ortmann, Lukas, Maeght, Jean, Panciatici, Patrick, Dörfler, Florian, Bolognani, Saverio
Format: Preprint
Publié: 2022
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author Ortmann, Lukas
Maeght, Jean
Panciatici, Patrick
Dörfler, Florian
Bolognani, Saverio
author_facet Ortmann, Lukas
Maeght, Jean
Panciatici, Patrick
Dörfler, Florian
Bolognani, Saverio
contents The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Optimization (OFO) is a feedback real-time control method that can be employed to enable optimal operation of these grids. Such controllers can maximize grid efficiency (e.g., minimizing curtailment) while satisfying grid constraints like voltage and current limits. The OFO control method is tailored and extended to handle discrete inputs and it is explained how to design an OFO controller for the subtransmission grid. A novel benchmark is presented and published that corresponds to the real French subtransmission grid on which the proposed controller is analyzed in terms of robustness against model mismatch, constraint satisfaction, and tracking performance. It is shown that OFO controllers can help utilize the grid to its full extent, virtually reinforce it, and operate it optimally and in real-time by using the flexibility offered by renewable generators connected to distribution grids.
format Preprint
id arxiv_https___arxiv_org_abs_2212_07795
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Subtransmission Grid Control via Online Feedback Optimization
Ortmann, Lukas
Maeght, Jean
Panciatici, Patrick
Dörfler, Florian
Bolognani, Saverio
Systems and Control
The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Optimization (OFO) is a feedback real-time control method that can be employed to enable optimal operation of these grids. Such controllers can maximize grid efficiency (e.g., minimizing curtailment) while satisfying grid constraints like voltage and current limits. The OFO control method is tailored and extended to handle discrete inputs and it is explained how to design an OFO controller for the subtransmission grid. A novel benchmark is presented and published that corresponds to the real French subtransmission grid on which the proposed controller is analyzed in terms of robustness against model mismatch, constraint satisfaction, and tracking performance. It is shown that OFO controllers can help utilize the grid to its full extent, virtually reinforce it, and operate it optimally and in real-time by using the flexibility offered by renewable generators connected to distribution grids.
title Subtransmission Grid Control via Online Feedback Optimization
topic Systems and Control
url https://arxiv.org/abs/2212.07795