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

Research output: Contribution to conferencePaper

Abstract

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 sensitivityof 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.
Original languageAmerican English
Number of pages11
StatePublished - 2000
EventInternational Conference on Probabilistic Methods Applied to Power Systems - Funchal, Madiera, Portugal
Duration: 25 Sep 200028 Sep 2000

Conference

ConferenceInternational Conference on Probabilistic Methods Applied to Power Systems
CityFunchal, Madiera, Portugal
Period25/09/0028/09/00

NREL Publication Number

  • NREL/CP-500-27713

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