Evaluation method for active distribution network fault handling process based on key node information matrix

Fucong Xu

doi:10.1117/12.3024276

13 May 2024 Evaluation method for active distribution network fault handling process based on key node information matrix

Fucong Xu

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131597V (2024) https://doi.org/10.1117/12.3024276
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

In order to solve the problem of scheduling level evaluation in the process of active distribution network fault handling, an evaluation method for active distribution network fault handling process based on key node information matrix is proposed. Firstly, a key node information matrix model was established to describe the operational results of the dispatcher's fault handling process in seven stages: perception node, judgment node, disposal node, ticketing node, emergency repair node, restoration node, and archiving node. Then, the dispatcher's fault handling process was quantitatively evaluated through seven evaluation indicators. Finally, the overall quantitative evaluation of the dispatcher's fault handling process is conducted through a single fault handling evaluation index and a comprehensive evaluation index for distribution network fault handling. Through example analysis, it is shown that this method can comprehensively reflect the fault handling process of dispatchers, better reflect the fault handling level of dispatchers, meet the needs of on-site applications, and have good promotion value.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fucong Xu "Evaluation method for active distribution network fault handling process based on key node information matrix", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131597V (13 May 2024); https://doi.org/10.1117/12.3024276

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