Electrical substation service-area estimation using Cellular Automata: An initial report

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The service areas for electric power substations can be estimated using a Cellular Automata (CA) model. The CA model is a discrete, iterative process whereby substations acquire service area by claiming neighboring cells. The service area expands from a substation until a neighboring substation service area is met or the substation`s total capacity or other constraints are reached. The CA-model output is dependent on the rule set that defines cell interactions. The rule set is based on a hierarchy of quantitative metrics that represent real-world factors such as land use and population density. Together, the metrics determine the rate of ... continued below

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11 p.

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Fenwick, J.W. & Dowell, L.J. July 1, 1998.

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Description

The service areas for electric power substations can be estimated using a Cellular Automata (CA) model. The CA model is a discrete, iterative process whereby substations acquire service area by claiming neighboring cells. The service area expands from a substation until a neighboring substation service area is met or the substation`s total capacity or other constraints are reached. The CA-model output is dependent on the rule set that defines cell interactions. The rule set is based on a hierarchy of quantitative metrics that represent real-world factors such as land use and population density. Together, the metrics determine the rate of cell acquisition and the upper bound for service area size. Assessing the CA-model accuracy requires comparisons to actual service areas. These actual service areas can be extracted from distribution maps. Quantitative assessment of the CA-model accuracy can be accomplished by a number of methods. Some are as simple as finding the percentage of cells predicted correctly, while others assess a penalty based on the distance from an incorrectly predicted cell to its correct service area. This is an initial report of a work in progress.

Physical Description

11 p.

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OSTI as DE99001755

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  • Other Information: PBD: Jul 1998

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  • Other: DE99001755
  • Report No.: LA-UR--98-2803
  • Grant Number: W-7405-ENG-36
  • DOI: 10.2172/319895 | External Link
  • Office of Scientific & Technical Information Report Number: 319895
  • Archival Resource Key: ark:/67531/metadc676315

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  • July 1, 1998

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  • July 25, 2015, 2:20 a.m.

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  • June 23, 2016, 12:02 p.m.

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Fenwick, J.W. & Dowell, L.J. Electrical substation service-area estimation using Cellular Automata: An initial report, report, July 1, 1998; New Mexico. (digital.library.unt.edu/ark:/67531/metadc676315/: accessed September 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.