Abstract
From a scientific point of view, power grid planning is a very professional work, and subject to the impact of modern urban construction, this work is more difficult, and it has a highly constrained & discrete variable nonlinear integer programming problem. At the same time, the intelligent development of the power grid needs to continuously improve its reliable power supply and high-efficiency operation. Since the distribution network can change topology by changing the switch state, the distribution network is reconstructed to reasonably arrange the distributed grid connection to reduce the network loss. It is of great theoretical and practical significance to improve the node voltage deviation and realize the economic and safe operation of the distribution network considering DG. In this paper, the PSO-AFSA hybrid optimization algorithm model is analyzed firstly, its application in distribution network planning and design is discussed. The concrete nodes in the application of hybrid algorithm are calculated, the results show that the distribution of hybrid optimization algorithm is included in DG. The voltage deviation and active network loss of the network node are reduced, and the reliability of the power supply of the distribution network is guaranteed.
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Xun, C., Zheng, J., Lin, K., Lin, T., Xiao, F. (2021). Distribution Network Planning and Design Supported by PSO-AFSA Hybrid Optimization Algorithm. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_58
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DOI: https://doi.org/10.1007/978-3-030-51431-0_58
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