Distributed Photovoltaic Generation Aggregation Approach Considering Distribution Network Topology

Yajie Tang, Sikai Sun, Bo Zhao (), Chouwei Ni, Liang Che and Junhao Li
Additional contact information
Yajie Tang: State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China
Sikai Sun: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Bo Zhao: State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China
Chouwei Ni: State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China
Liang Che: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Junhao Li: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Energies, 2024, vol. 17, issue 12, 1-15

Abstract: Distributed photovoltaics (DPVs) are widely distributed and the output is random, which brings challenges to the safe operation of the distribution network, so the construction of photovoltaic aggregations can effectively participate in the flexible regulation of the power system. At present, the extraction of DPV clustering features is not sufficient, only considering the output characteristics of PVs. Certain PVs under some nodes may have a more pronounced regulation effect, but they may be ignored in the clustering process. To address the above problems, this paper proposes a DPV aggregation approach considering the distribution network topology. It combines the voltage sensitivity and the power curve and regards them as clustering features to form the DPV aggregation with the highest average voltage sensitivity participating in voltage regulation. The simulation on the IEEE 33-node system verifies that the proposed aggregation approach can select DPV aggregation more suitable for voltage regulation, and make full use of the aggregation to realize the optimal voltage regulation effect.

Keywords: distribution network; distributed photovoltaic generation; voltage regulation; aggregation (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 complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/12/2990/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/12/2990/ (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:2990-:d:1416788

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 ().