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An Improved Substation Locating and Sizing Method Based on the Weighted Voronoi Diagram and the Transportation Model

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  • Shiju Wang
  • Zhiying Lu
  • Shaoyun Ge
  • Chengshan Wang

Abstract

Substation locating and sizing is an important component of urban power networks. In this paper, an improved method based on the weighted Voronoi diagram and transportation model for substation planning is proposed, which can optimize the location, capacity, and power supply range for each substation with the minimum investment which contains the cost of the lines, substations, and annual operation expense. The weighted Voronoi diagram (WVD) whose weights can be adaptively adjusted can calculate the location and the capacity for each substation with good performance of global convergence and better convergence speed. Transportation model can simulate the best correspondence relationship between the loads and substations. The impact of geographical factors is also considered in this paper. Large amount of experiments show that the improved method can get more reasonable and more optimized planning result within shorter time than the original WVD and other algorithms.

Suggested Citation

  • Shiju Wang & Zhiying Lu & Shaoyun Ge & Chengshan Wang, 2014. "An Improved Substation Locating and Sizing Method Based on the Weighted Voronoi Diagram and the Transportation Model," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, May.
    • Handle: RePEc:hin:jnljam:810607
    DOI: 10.1155/2014/810607
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    Cited by:

    1. Burillo, Daniel & Chester, Mikhail V. & Pincetl, Stephanie & Fournier, Eric, 2019. "Electricity infrastructure vulnerabilities due to long-term growth and extreme heat from climate change in Los Angeles County," Energy Policy, Elsevier, vol. 128(C), pages 943-953.
    2. Alessandro Bosisio & Matteo Moncecchi & Andrea Morotti & Marco Merlo, 2021. "Machine Learning and GIS Approach for Electrical Load Assessment to Increase Distribution Networks Resilience," Energies, MDPI, vol. 14(14), pages 1-23, July.
    3. Gupta, Rahul & Sossan, Fabrizio & Paolone, Mario, 2021. "Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland," Applied Energy, Elsevier, vol. 281(C).
    4. Duncan Chaplin & Delia Welsh & Arif Mamun & Nick Ingwersen & Kristine Bos & Erin Crossett & Poonam Ravindranath & Dara Bernstein & William Derbyshire, "undated". "Ghana Power Compact: Evaluation Design Report," Mathematica Policy Research Reports 8c1896c6f9af45f08347287c1, Mathematica Policy Research.

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