Application of a Dynamic Fuzzy Search Algorithm to Determine Optimal Wind Plant Sizes and Locations in Iowa

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This paper illustrates a method for choosing the optimal mix of wind capacity at several geographically dispersed locations. The method is based on a dynamic fuzzy search algorithm that can be applied to different optimization targets. We illustrate the method using two objective functions for the optimization: maximum economic benefit and maximum reliability. We also illustrate the sensitivity of the fuzzy economic benefit solutions to small perturbations of the capacity selections at each wind site. We find that small changes in site capacity and/or location have small effects on the economic benefit provided by wind power plants. We use electric ... continued below

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Milligan, M. R., National Renewable Energy Laboratory & Factor, T., Iowa Wind Energy Institute September 21, 2001.

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This paper illustrates a method for choosing the optimal mix of wind capacity at several geographically dispersed locations. The method is based on a dynamic fuzzy search algorithm that can be applied to different optimization targets. We illustrate the method using two objective functions for the optimization: maximum economic benefit and maximum reliability. We also illustrate the sensitivity of the fuzzy economic benefit solutions to small perturbations of the capacity selections at each wind site. We find that small changes in site capacity and/or location have small effects on the economic benefit provided by wind power plants. We use electric load and generator data from Iowa, along with high-quality wind-speed data collected by the Iowa Wind Energy Institute.

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  • International Conference on Probabilistic Methods Applied to Power Systems, Funchal, Madeira (PT), 09/25/2000--09/28/2000

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  • Report No.: NREL/CP-500-27713
  • Grant Number: AC36-99GO10337
  • Office of Scientific & Technical Information Report Number: 787879
  • Archival Resource Key: ark:/67531/metadc718299

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  • September 21, 2001

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  • Sept. 29, 2015, 5:31 a.m.

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  • March 31, 2016, 1:54 p.m.

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Milligan, M. R., National Renewable Energy Laboratory & Factor, T., Iowa Wind Energy Institute. Application of a Dynamic Fuzzy Search Algorithm to Determine Optimal Wind Plant Sizes and Locations in Iowa, article, September 21, 2001; Golden, Colorado. (digital.library.unt.edu/ark:/67531/metadc718299/: accessed August 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.