Fault response strategy for high proportion distributed energy resources distribution area based on whale optimization algorithm

The proportion of distributed energy resources in the distribution area is increasing, and its output is uncertain. Therefore, considering the uncertainty, a fault recovery strategy combining island division and recovery and reconstruction is proposed. Firstly, a distributed energy resources output model and a load characteristic model are established, and a combination of breadth-first traversal and depth-first traversal is used to divide the islands according to the faults occurring at different time periods. Then, the network reconstruction model is established with the goal of minimum switching operation times and minimum network loss, and the improved whale optimization algorithm is used to solve it, and the residual power loss load in the distribution area is restored. Finally, the simulation analysis of IEEE33 nodes is carried out, and the experimental results show that the proposed method can restore power supply quickly and accurately.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991865
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Fault response strategy for high proportion distributed energy resources distribution area based on whale optimization algorithm

Dawei Hu, Jingwei Han, T. Cao, Hengyu Liu et al.
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Power Systems and Technologies
article

Fault response strategy for high proportion distributed energy resources distribution area based on whale optimization algorithm

Dawei Hu, Jingwei Han, T. Cao, Hengyu Liu, Zhi Zhang, Liyang Liu, Jiazheng Sun, Xiaoning Ma
article en

Abstract

The proportion of distributed energy resources in the distribution area is increasing, and its output is uncertain. Therefore, considering the uncertainty, a fault recovery strategy combining island division and recovery and reconstruction is proposed. Firstly, a distributed energy resources output model and a load characteristic model are established, and a combination of breadth-first traversal and depth-first traversal is used to divide the islands according to the faults occurring at different time periods. Then, the network reconstruction model is established with the goal of minimum switching operation times and minimum network loss, and the improved whale optimization algorithm is used to solve it, and the residual power loss load in the distribution area is restored. Finally, the simulation analysis of IEEE33 nodes is carried out, and the experimental results show that the proposed method can restore power supply quickly and accurately.

Shenyang University of Technology (CN), Shanghai Electric (China) (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 72%
Power Systems and Technologies
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Fault response strategy for high proportion distributed energy resources distribution area based on whale optimization algorithm — Dawei Hu, Jingwei Han, et al. · (2024) | TGRS Research Map | TGRS