Paper
23 May 2023 Research on target grid investment optimization technology of medium- and low-voltage distribution network based on improved genetic algorithm
Na Yu, Ming Chen, Yan Wu
Author Affiliations +
Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 1260408 (2023) https://doi.org/10.1117/12.2674646
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China
Abstract
With the continuous improvement of the electricity demand of the whole society in China and the complexity of power grid network planning and construction, how to further optimize the structure of low voltage distribution network and improve the investment efficiency and efficiency of distribution network planning has become one of the important topics facing the operation and development of power grid enterprises. This paper analyzes the current situation and problems of medium and low voltage distribution network construction in a region of GD province, combines with the relevant principles of improved genetic algorithm, optimizes the investment and construction of medium and low voltage distribution network construction in this region, and verifies the effectiveness of the model method.
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Na Yu, Ming Chen, and Yan Wu "Research on target grid investment optimization technology of medium- and low-voltage distribution network based on improved genetic algorithm", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 1260408 (23 May 2023); https://doi.org/10.1117/12.2674646
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KEYWORDS
Genetic algorithms

Mathematical optimization

Network architectures

Power grids

Genetics

Switches

Analytical research

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