Fast identification method of distribution network flexible operation region based on reinforcement learning

Yuyang Li

doi:10.1117/12.3004342

25 September 2023 Fast identification method of distribution network flexible operation region based on reinforcement learning

Yuyang Li

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 1278863 (2023) https://doi.org/10.1117/12.3004342
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

The conventional fast identification method of distribution network flexible operation domain mainly uses DistFlow power flow model to divide the operation domain, which is vulnerable to the influence of branch node inversion, resulting in poor operation domain identification effect. The experimental results show that the area of the operation domain identified by the designed rapid identification method of the distribution network flexible operation domain matches the area of the actual operation domain, which proves that the designed rapid identification method of the distribution network flexible operation domain based on reinforcement learning has good recognition effect, reliability, and certain application value, and has made certain contributions to improving the operation safety of the distribution network.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuyang Li "Fast identification method of distribution network flexible operation region based on reinforcement learning", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 1278863 (25 September 2023); https://doi.org/10.1117/12.3004342

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