Active Distribution Network Expansion Planning Based on Wasserstein Distance and Dual Relaxation

Jianchu Liu, Xinghang Weng, Mingyang Bao, Shaohan Lu () and Changhao He
Additional contact information
Jianchu Liu: Zhongshan Power Supply Bureau, Guangdong Power Grid Co., Ltd., Zhongshan 528405, China
Xinghang Weng: Power Grid Planning Center of Guangdong Power Grid Co., Ltd., Guangzhou 510308, China
Mingyang Bao: The School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Shaohan Lu: The School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Changhao He: Zhongshan Power Supply Bureau, Guangdong Power Grid Co., Ltd., Zhongshan 528405, China

Energies, 2024, vol. 17, issue 12, 1-22

Abstract: In the future, a high proportion of distributed generations (DG) will be integrated into the distribution network. The existing active distribution network (ADN) planning methods have not fully considered multiple uncertainties, differentiated regulation modes or the cost of multiple types of interconnection switches. Meanwhile, it is difficult to solve large-scale problems at small granularity. Therefore, an expansion planning method of ADN considering the selection of multiple types of interconnection switches is proposed. Firstly, a probability distribution ambiguity set of DG output and electrical-load consumption based on the Wasserstein distance is established for dealing with the issue of source-load uncertainty. Secondly, a distributionally robust optimization model for collaborative planning of distribution network lines and multiple types of switches based on the previously mentioned ambiguity set is established. Then, the original model is transformed into a mixed integer second-order cone programming (SOCP) model by using the convex relaxation method, the Lagrangian duality method and the McCormick relaxation method. Finally, the effectiveness of the proposed method is systematically verified using the example of Portugal 54. The results indicate that the proposed method raises the annual net profit by nearly 5% compared with the traditional planning scheme and improves the reliability and low-carbon nature of the planning scheme.

Keywords: expansion planning; soft open point (SOP); interconnection switches; distributionally robust optimization; active distribution network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/12/3005/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/12/3005/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:12:p:3005-:d:1417307

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().