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Interval type-2 fuzzy modeling of wind power generation in Genco's generation scheduling

Siahkali, H ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1016/j.epsr.2011.03.021
  3. Abstract:
  4. Wind power is a promising source of electric power generation since it has tremendous environmental and social benefits. The generation scheduling (GS) problem encounters several uncertainties in terms of the system's parameters such as load, reserve and available wind power generation. The modeling of those uncertainties is an important issue in power system scheduling. A fuzzy based modeling approach can be used to develop the generation schedule under an uncertain environment. In this paper, the type-2 fuzzy membership function (MF) is implemented to model the linguistic uncertainty of type-1 MF of available wind power generation which stems from opinions of different experts. The proposed approach is applied to two test systems (six and twenty-six conventional generating units both with two wind farms) and the results of generation scheduling using both fuzzy modeling type-1, and type-2 are presented. These results demonstrate that the advantage of using the type-2 fuzzy to model the linguistic uncertainty of the type-1 MF. This paper demonstrates how unit scheduling in an uncertain environment of type-1 fuzzy MF modeling can be performed just by using a single type-2 fuzzy MF when all type-1 MF were in the footprint of uncertainty (FOU) of type-2 MF
  5. Keywords:
  6. Fuzzy optimization ; Generation scheduling ; Type-2 fuzzy sets ; Wind power generation ; Footprint of uncertainties ; Fuzzy membership function ; Fuzzy modeling ; Generating unit ; Generation schedules ; Linguistic uncertainty ; Modeling approach ; Power system scheduling ; Social benefits ; Test systems ; Type-2 fuzzy modeling ; Uncertain environments ; Wind farm ; Electric power generation ; Electric utilities ; Fuzzy sets ; Linguistics ; Membership functions ; Wind power ; Scheduling
  7. Source: Electric Power Systems Research ; Volume 81, Issue 8 , 2011 , Pages 1696-1708 ; 03787796 (ISSN)
  8. URL: http://www.sciencedirect.com./science/article/pii/S0378779611000848