Emergency repair scheduling algorithm for multi-point fault of power communication considering multi team cooperation

Bofan Zhang; Li Wang; Changle Zhou

doi:10.1117/12.3004110

11 October 2023 Emergency repair scheduling algorithm for multi-point fault of power communication considering multi team cooperation

Bofan Zhang, Li Wang, Changle Zhou

Author Affiliations +

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128001J (2023) https://doi.org/10.1117/12.3004110
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

As an important part of power grid emergency management, power communication fault emergency repair scheduling can provide decision support for emergency management. Therefore, based on the current situation of emergency repair resource allocation of power communication, a multi-point fault emergency repair scheduling algorithm considering multi group cooperation is proposed, and a joint optimization model of power communication fault emergency repair considering resource allocation and multi team cooperation mechanism is established. The blackboard information processing mode is designed, which is composed of initial layer, adaptive measure optimization layer and emergency repair plan optimization layer. It can quickly give the emergency repair resource grouping scheme and emergency repair plan after multiple failures of power communication, so as to reduce the economic loss of power failure. Simulation results show the effectiveness of the proposed method.

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

Citation Download Citation

Bofan Zhang, Li Wang, and Changle Zhou "Emergency repair scheduling algorithm for multi-point fault of power communication considering multi team cooperation", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128001J (11 October 2023); https://doi.org/10.1117/12.3004110

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