Application of Greedy Algorithm in Power Network Wiring

With the continuous development of power systems, the complexity of power network wiring has significantly increased. Optimizing the wiring of power networks while meeting power demands and reliability requirements has become a crucial issue. In this study, the model of the power network wiring problem is simplified and abstracted into the shortest - path problem in graph theory. The greedy algorithm is used to find the optimal layout. The specific steps are as follows: define the node set, edge set, and objective function, and set connectivity constraints and stability constraints to ensure that the constructed power network can not only connect all nodes but also meet certain load - transfer capabilities and stability requirements. The research data is derived from the constructed typical power network model. Through the simulation and analysis of a typical power network, the effectiveness and practicality of the greedy algorithm in power network planning and construction are verified.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-05-15
DOI
https://doi.org/10.54254/2755-2721/2025.22870
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
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article

Application of Greedy Algorithm in Power Network Wiring

X. L. Fan
Applied and Computational Engineering
Power Systems and Technologies
article

Application of Greedy Algorithm in Power Network Wiring

X. L. Fan
article en

Abstract

With the continuous development of power systems, the complexity of power network wiring has significantly increased. Optimizing the wiring of power networks while meeting power demands and reliability requirements has become a crucial issue. In this study, the model of the power network wiring problem is simplified and abstracted into the shortest - path problem in graph theory. The greedy algorithm is used to find the optimal layout. The specific steps are as follows: define the node set, edge set, and objective function, and set connectivity constraints and stability constraints to ensure that the constructed power network can not only connect all nodes but also meet certain load - transfer capabilities and stability requirements. The research data is derived from the constructed typical power network model. Through the simulation and analysis of a typical power network, the effectiveness and practicality of the greedy algorithm in power network planning and construction are verified.

Applied and Computational EngineeringVol. 151(1)
Minzu University of China (CN)
Openalex Percentile: Top 92%
Power Systems and Technologies
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Application of Greedy Algorithm in Power Network Wiring — X. L. Fan · Applied and Computational Engineering (2025) | TGRS Research Map | TGRS