2009
DOI: 10.1016/j.epsr.2008.12.006
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A fuzzy logic supervisor for active and reactive power control of a variable speed wind energy conversion system associated to a flywheel storage system

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Cited by 68 publications
(28 citation statements)
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“…The extra energy produced, compared to the autonomous load request, must be stored. This can be achieved in different ways [12][13][14]. However, in the case of standalone applications, storage cost still represents the major economic restraint.…”
Section: Introductionmentioning
confidence: 99%
“…The extra energy produced, compared to the autonomous load request, must be stored. This can be achieved in different ways [12][13][14]. However, in the case of standalone applications, storage cost still represents the major economic restraint.…”
Section: Introductionmentioning
confidence: 99%
“…Examples of using the fuzzy-logicbased control of various processes can be found in such diverse areas as controlling wind power plants [6,11,14] and controlling hydraulic systems of forging machines [17]. Methods of artificial intelligence and fuzzy logic are also applied in processes used in environmental protection [3,4] or composting [29].…”
Section: Introductionmentioning
confidence: 99%
“…A wind farm with many WTG has a tendency of smoothing output power. Various methods have been utilized to generate smooth wind power, including the use of ultra capacitors [5], superconducting magnetic energy storage (SMES) [6], flywheel energy storage systems (FESS) [7][8][9], storage batteries [10], aqua electrolyze fuel cells [11], and backup generators [12]. Each method has its advantages and disadvantages.…”
Section: Introductionmentioning
confidence: 99%