Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/6551
Title: Operation planning of wind farms with pumped storage plants based on type-2 fuzzy modeling of uncertainties [articol]
Authors: Siahkali, H.
Abedi, S. M.
Subjects: Unit commitment
Type-2 fuzzy sets
Wind power uncertainty
Pumped storage plant
Issue Date: 2020
Publisher: Timișoara : Editura Politehnica
Citation: Siahkali, H.; Abedi, S. M.: Operation planning of wind farms with pumped storage plants based on type-2 fuzzy modeling of uncertainties. Timişoara: Editura Politehnica, 2020.
Series/Report no.: Journal of Electrical Engineering;Vol 20 No 4
Abstract: The operation planning problem encounters several uncertainties in terms of the power system’s parameters such as load, operating reserve and wind power generation. The modeling of those uncertainties is an important issue in power system operation. The system operators can implement different approaches to manage these uncertainties. These approaches can be categorized into two main groups; mathematical and physical methods. In mathematical methods, different approaches can be used to model the uncertainties of parameters in the formulation of power system problems. A fuzzy based modeling approach can be implemented to develop the new formulation of power system problems under an uncertain environment. On the other hand, in physical methods, energy storage devices can be presented to manage the unpredictable behavior of some parameters of power system. Pumped storage plant is the main energy storage devices that have extensive attraction in system operators. In this paper, the type-2 fuzzy membership function (MF) is implemented to model the uncertainty of wind power generation and the type-1 fuzzy MF is used to model the other parameters in weekly unit commitment (UC) problem. The proposed approach is applied to two different test systems which have conventional generating units, wind farms and pumped storage plants to consider the results of fuzzy modeling of uncertainties.
URI: https://dspace.upt.ro/xmlui/handle/123456789/6551
ISSN: 1582-4594
Appears in Collections:Articole științifice/Scientific articles

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