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Techno-Economic Optimization of Power Distribution Networks Reconfiguration Using Sunflower Optimizer

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Advanced Machine Learning Technologies and Applications (AMLTA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1339))

Abstract

In distribution sectors, network reconfiguration can lead to lose reduction, reliability enhancement, and other economic savings. In this article, using Sunflower Optimizer (SFO) approach, a novel optimization method is suggested for solving the network reconfiguration problem. The main problem is to find the optimal topology of the network that achieves the objective function by satisfying the constraints. The objective of this problem is to maximize the annual net saving that results from power loss reduction. The proposed optimization algorithm is tested on two standard radial distribution networks; IEEE 33-bus and IEEE 69-bus. The obtained results are getting using the Matlab programming environment. They show that the proposed algorithm is effective and can achieve the maximum annual net saving. Finally, the introduced SFO approach's superiority is also verified by comparing its results with other optimization approaches.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Faculty of Engineering, Suez Canal University, Ismailia, Egypt

    Hany S. E. Mansour, Basem E. Elnaghi & M. N. Abd-Alwahab

  2. Electrical Engineering Department, Faculty of Engineering, Helwan University, Helwan, Egypt

    M. M. Ismail

Authors
  1. Hany S. E. Mansour
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  2. Basem E. Elnaghi
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  3. M. N. Abd-Alwahab
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  4. M. M. Ismail
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Corresponding author

Correspondence to Hany S. E. Mansour .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Computer and Information Faculty, Giza, Egypt

    Aboul-Ella Hassanien

  2. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Kuo-Chi Chang

  3. International Center for Informatics Research, Beijing Jaiotong University, Beijing, China

    Tang Mincong

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Mansour, H.S.E., Elnaghi, B.E., Abd-Alwahab, M.N., Ismail, M.M. (2021). Techno-Economic Optimization of Power Distribution Networks Reconfiguration Using Sunflower Optimizer. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_76

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