A Bi-Level Optimal Siting Method for PV Cluster DC Aggregation Points in Urban Distribution Networks

Urban PV is commonly connected through individual inverters, causing low utilization, uncoordinated reverse power flow, and overvoltage at high penetration. This paper addresses where to site DC aggregation points that collect nearby PV systems on a common DC bus and connect through centralized inverters. This paper formulates a bi-level model under urban land-use constraints as follows: the upper level jointly selects point locations, capacities, and PV allocations to minimize annualized cost and maximum voltage deviation; the lower level routes collectors along roads and verifies AC/DC power flows. PV uncertainty is represented by clustered scenarios, and an improved NSGA-II is coupled with SOCP DistFlow evaluation. On a modified IEEE 33-bus feeder at 122% penetration, the method reduces annualized cost by 8.3% versus two-stage siting and 14.6% versus K-means siting, with maximum voltage deviation reduced from 5.5% to 4.8%. Against conventional AC connection, it eliminates overvoltage and reduces active loss by 40.3% from the no-PV base. Tests on a 69-bus system plus sensitivity, extreme-scenario, and reliability analyses confirm scalability and robustness.

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Publication Details

Journal
Symmetry
Published
2026-08-25
DOI
https://doi.org/10.3390/sym18091424
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.00

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article

A Bi-Level Optimal Siting Method for PV Cluster DC Aggregation Points in Urban Distribution Networks

Wenbin Ci, Ge Cao, Mingkai Xu, Kaiqi Sun et al.
Symmetry
Optimal Power Flow Distribution
article

A Bi-Level Optimal Siting Method for PV Cluster DC Aggregation Points in Urban Distribution Networks

Wenbin Ci, Ge Cao, Mingkai Xu, Kaiqi Sun, Xiao Liu, Li Li, Xin Li
article en

Abstract

Urban PV is commonly connected through individual inverters, causing low utilization, uncoordinated reverse power flow, and overvoltage at high penetration. This paper addresses where to site DC aggregation points that collect nearby PV systems on a common DC bus and connect through centralized inverters. This paper formulates a bi-level model under urban land-use constraints as follows: the upper level jointly selects point locations, capacities, and PV allocations to minimize annualized cost and maximum voltage deviation; the lower level routes collectors along roads and verifies AC/DC power flows. PV uncertainty is represented by clustered scenarios, and an improved NSGA-II is coupled with SOCP DistFlow evaluation. On a modified IEEE 33-bus feeder at 122% penetration, the method reduces annualized cost by 8.3% versus two-stage siting and 14.6% versus K-means siting, with maximum voltage deviation reduced from 5.5% to 4.8%. Against conventional AC connection, it eliminates overvoltage and reduces active loss by 40.3% from the no-PV base. Tests on a 69-bus system plus sensitivity, extreme-scenario, and reliability analyses confirm scalability and robustness.

SymmetryVol. 18(9)
Shandong University (CN), Shanghai Electric (China) (CN)
State Grid Corporation of China
Sustainable cities and communities
Openalex Percentile: Top 19%
Optimal Power Flow Distribution
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A Bi-Level Optimal Siting Method for PV Cluster DC Aggregation Points in Urban Distribution Networks — Wenbin Ci, Ge Cao, et al. · Symmetry (2026) | TGRS Research Map | TGRS