Home Journals Articles Updates About
CN
image
收藏切换
Collaborative configuration of the distributed energy resources in an active distribution network based on the multi-objective Bayesian optimization
收藏切换
PDF
Yajuan Hu1, Qirui Zhang1, Gang Liu1, Ruizhe Yang2, Ying Xu2, Zhongkai Yi2
Renewable Energy Resources | 2025, 43(5) : 696 - 702
Less
收藏切换
Renewable Energy Resources | 2025, 43(5): 696-702
Collaborative configuration of the distributed energy resources in an active distribution network based on the multi-objective Bayesian optimization
Full
Yajuan Hu1, Qirui Zhang1, Gang Liu1, Ruizhe Yang2, Ying Xu2, Zhongkai Yi2
Affiliations
  • 1 State Grid Heilongjiang Electric Power Company Limited Harbin 150000 China
  • 2 Harbin Institute of Technology Harbin 150000 China
Published: 2025-05-20
Outline
收藏切换

In Active Distribution Network (ADN), the penetration rate of Renewable Energy Sources (RES) is continuously increasing, leading to more complex and uncertain operational scenarios. This complexity introduces significant risks in the daily operations of ADN. This study proposes a collaborative configuration of distributed power sources within ADN to enhance the absorption capacity for renewable power. The proposed model thoroughly considers the variability of RES, the characteristics of adjustable demand response resources, the bidirectional flow of ADN, and the constraints of safe operation. To address the contradiction between the effective absorption of renewable energy and the economic operation of ADNs, this paper introduces a multiobjective Bayesian optimization algorithm based on hyperspace indicators (EBO). This method probabilistically models multiple objective functions, effectively balancing the exploration of solution space and the unidirectionality of optimization. Moreover, its computational efficiency surpasses traditional heuristicbased multiobjective planning algorithms.

active distribution network  /  RES accomondation  /  distributed energy resource  /  multi-objective Bayesian optimization
Yajuan Hu, Qirui Zhang, Gang Liu, Ruizhe Yang, Ying Xu, Zhongkai Yi. Collaborative configuration of the distributed energy resources in an active distribution network based on the multi-objective Bayesian optimization[J]. Renewable Energy Resources, 2025 , 43 (5) : 696 -702 .
Appendix
Less
Year 2025 volume 43 Issue 5
PDF
356
190
Cite this Article
BibTeX
Article Info
  • Receive Date：2024-06-20
  • Online Date：2025-07-16
  • Published：2025-05-20
Article Data
Affiliations
History
  • Received：2024-06-20
Funding
Affiliations
    1 State Grid Heilongjiang Electric Power Company Limited Harbin 150000 China
    2 Harbin Institute of Technology Harbin 150000 China
References
Share
https://castjournals.cast.org.cn/joweb/kzsny/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House