Coordinated Planning Method for Distribution Network Lines Considering Geographical Constraints and Load Distribution

This paper proposes a coordinated planning method for distribution network lines considering geographical constraints and load distribution, aiming to improve the economy and engineering feasibility of distribution network planning. First, a hierarchical system of geographical constraints based on the Interval Analytic Hierarchy Process (IAHP) is established to systematically quantify the influence weights of spatial factors such as terrain undulation, ecological protection zones, and construction obstacles. Second, the density peak clustering algorithm and load complementarity coefficient are introduced to generate equivalent load nodes, and a spatially continuous load density grid model is constructed to accurately characterize the distribution and complementary characteristics of the load. Third, an improved A-star algorithm is adopted, which integrates a heuristic function guided by geographical weights and load density to dynamically avoid high-cost areas and approach high-load areas. Additionally, Bézier curves are used to optimize the path, reducing crossings and obstacle interference, thus enhancing the implementability of line layout. Verification via a real distribution network case study in a certain area of Guangdong Province shows that the proposed method outperforms traditional planning strategies. It significantly improves the economy, safety, and engineering feasibility of the path, providing effective decision support for distribution network line planning in complex environments.

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Publication Details

Journal
Processes
Published
2025-12-22
DOI
https://doi.org/10.3390/pr14010047
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.00

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article

Coordinated Planning Method for Distribution Network Lines Considering Geographical Constraints and Load Distribution

Xiangang Peng, Linhuan Luo, M. Liu, Qilin Zhou et al.
Processes
Optimal Power Flow Distribution
article

Coordinated Planning Method for Distribution Network Lines Considering Geographical Constraints and Load Distribution

Xiangang Peng, Linhuan Luo, M. Liu, Qilin Zhou, Longfa Yang, Zhian He, Wei Pan
article en

Abstract

This paper proposes a coordinated planning method for distribution network lines considering geographical constraints and load distribution, aiming to improve the economy and engineering feasibility of distribution network planning. First, a hierarchical system of geographical constraints based on the Interval Analytic Hierarchy Process (IAHP) is established to systematically quantify the influence weights of spatial factors such as terrain undulation, ecological protection zones, and construction obstacles. Second, the density peak clustering algorithm and load complementarity coefficient are introduced to generate equivalent load nodes, and a spatially continuous load density grid model is constructed to accurately characterize the distribution and complementary characteristics of the load. Third, an improved A-star algorithm is adopted, which integrates a heuristic function guided by geographical weights and load density to dynamically avoid high-cost areas and approach high-load areas. Additionally, Bézier curves are used to optimize the path, reducing crossings and obstacle interference, thus enhancing the implementability of line layout. Verification via a real distribution network case study in a certain area of Guangdong Province shows that the proposed method outperforms traditional planning strategies. It significantly improves the economy, safety, and engineering feasibility of the path, providing effective decision support for distribution network line planning in complex environments.

ProcessesVol. 14(1)
Guangdong University of Technology (CN), Guangzhou Education Bureau (CN), China Southern Power Grid (China) (CN), Power Grid Corporation (India) (IN)
Guangdong Power Grid Company
Openalex Percentile: Top 43%
Optimal Power Flow Distribution
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Coordinated Planning Method for Distribution Network Lines Considering Geographical Constraints and Load Distribution — Xiangang Peng, Linhuan Luo, et al. · Processes (2025) | TGRS Research Map | TGRS