Paper
1 April 2024 Particle swarm optimization method for substation location of airport surrounding power grid considering civil aviation clearance limit surface
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Proceedings Volume 12987, Third International Conference on Computer Technology, Information Engineering, and Electron Materials (CTIEEM 2023); 129870K (2024) https://doi.org/10.1117/12.3023473
Event: Third International Conference on Computer Technology, Information Engineering, and Electron Materials (CTIEEM 2023), 2023, Zhengzhou, China
Abstract
The traditional substation location of airport peripheral power grid only considers the cost and income of energy storage equipment, but does not fully consider the civil aviation clearance limit surface. Therefore, a particle swarm optimization method for substation location of airport peripheral power grid considering the civil aviation clearance limit surface is proposed. The civil aviation clearance limit surface is constructed, and the load planning structure of power grid substation is established. The location objectives are set as the minimum investment, the lowest loss and the highest voltage margin, and the location objective function based on particle swarm optimization method is calculated to realize the particle swarm optimization of power grid substation location around the airport. The experimental results show that this method improves the location problem of substation around the airport, improves the convergence speed of the method, reduces the time to obtain the best value, and reduces the loss rate of the optimized power grid.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaobin Wang, Xu Li, Dan Yu, Xiang Yin, Yan Liu, and Lijun Liu "Particle swarm optimization method for substation location of airport surrounding power grid considering civil aviation clearance limit surface", Proc. SPIE 12987, Third International Conference on Computer Technology, Information Engineering, and Electron Materials (CTIEEM 2023), 129870K (1 April 2024); https://doi.org/10.1117/12.3023473
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