Distribution network reconfiguration optimization based on genetic algorithm and its influence on operation and maintenance management
As one of the advanced application functions of distribution network automation, distribution network reconfiguration is an important optimization means to ensure the normal operation of the power grid. In order to further improve the power supply quality and operation and maintenance efficiency of the distribution network, this paper proposes a reconfiguration method based on improved genetic algorithm, establishes a network topology reconfiguration computational model, and validates the proposed method for the reconfiguration of the distribution network, and the results show that compared with the reconfiguration model of the distribution network constructed by basic genetic algorithm, the algorithm of this paper shows excellent performance in terms of both the comparison of the node voltages and the evolution of the population. The results show that compared with the basic genetic algorithm constructed distribution network reconfiguration model, this paper's algorithm exhibits excellent performance in both node voltage comparison and population evolution, and is capable of realizing optimal power transmission. Finally, the impact of distribution network reconfiguration on operation and maintenance management is analyzed.
Authors
- Lin Jun (ORCID: https://orcid.org/0000-0002-4997-3407)
- Chen Liang Zhou (ORCID: https://orcid.org/0000-0001-5904-7258)
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Zhejiang Province Institute of Architectural Design and Research (CN)
Publication Details
- Journal
- Molecular & cellular biomechanics
- Published
- 2024-11-25
- DOI
- https://doi.org/10.62617/mcb744
- Citations
- 1
- Primary Topic
- Smart Grid and Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.21