Research on the Capacity of Energy Storage System in Mountain Distribution Network Based on Double-Layer Dynamic Optimization

The widespread access of distributed power supplies has caused a strong impact on the stability and reliability of the distribution network in mountainous areas, and the introduction of energy storage systems can effectively mitigate its impact. The paper studies the energy storage capacity configuration model based on double-layer dynamic optimization, analyzes the operating constraints of the energy storage system and the dynamic optimal energy storage control strategy. The operation process of the double-layer dynamic optimization system is further designed. Finally, a case study is presented to verify the validity of the paper.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icpre62586.2024.10768501
Citations
1
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.21
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Research on the Capacity of Energy Storage System in Mountain Distribution Network Based on Double-Layer Dynamic Optimization

Qin Hui, Ming Yu, Xin Song, Xiang Li et al.
1 citations
Power Systems and Technologies
0.21
article

Research on the Capacity of Energy Storage System in Mountain Distribution Network Based on Double-Layer Dynamic Optimization

Qin Hui, Ming Yu, Xin Song, Xiang Li, Yue Wu, Meng Lingjia
article en
1 citations

Abstract

The widespread access of distributed power supplies has caused a strong impact on the stability and reliability of the distribution network in mountainous areas, and the introduction of energy storage systems can effectively mitigate its impact. The paper studies the energy storage capacity configuration model based on double-layer dynamic optimization, analyzes the operating constraints of the energy storage system and the dynamic optimal energy storage control strategy. The operation process of the double-layer dynamic optimization system is further designed. Finally, a case study is presented to verify the validity of the paper.

China Southern Power Grid (China) (CN), South China University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 44%
Power Systems and Technologies
0.21
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