Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy

Qihe Lou, Yanbin Li, Zhenwei Li, Liu Han, Ying Xu and Zhongkai Yi ()
Additional contact information
Qihe Lou: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Yanbin Li: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Zhenwei Li: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Liu Han: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Ying Xu: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Zhongkai Yi: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

Energies, 2025, vol. 18, issue 1, 1-21

Abstract: Currently, the world is rapidly advancing in terms of the construction of new power systems, and planning suitable distribution network planning while also considering renewable energy has become a hot issue. Based on this background, this paper studies the distribution network planning problem. Compared with the traditional planning method, the paper considers the impact of load growth and renewable energy penetration and uses the multi-stage planning method to build the planning model; at the same time, in the scenarios selection, the affinity propagation (AP) clustering algorithm is adopted, which can automatically obtain the number of clusters. Based on the proposed model, an IEEE 33-node is used for simulation. The simulation results show that, compared with the traditional static planning method, the total economic cost of the proposed method is reduced by 4.87% and the wind–solar curtailment rate is reduced by 59.01%; in addition, according to the proposed method, the impact of energy storage equipment and wind–solar permeability on the planning results is studied. It is found that, when considering energy storage, the amount of abandoned wind and light decreases by 22.35% and the total cost first decreases and then increases with the increase in wind–solar permeability, while the total economic cost reaches the minimum at about 40%. The impact of load growth rate on the planning results is also studied. Finally, the generalizability of the proposed method is investigated while using the IEEE 69-node system as an example.

Keywords: multi-stage planning; affinity propagation clustering algorithm; wind and solar penetration; energy storage (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: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/1/152/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/1/152/ (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:18:y:2025:i:1:p:152-:d:1558870

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 ().