2018
DOI: 10.18280/mmc_a.910304
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Experimental investigations on grid integrated wind energy storage system using neuro fuzzy controller

Abstract: This paper presents harnessing of maximum wind energy from natural resource whenever it's available. The power electronic converters role is important In between sources and load. The load may be linear and non-linear in nature, so converters performance decides the efficiency of the system. Proper controller can switch the converter in the desired time and improve the system performance and stability. Many controllers are suggests to control the converter to get better performance in at output side. The propo… Show more

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Cited by 3 publications
(2 citation statements)
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“…The 5 layer ANFIS structure is used in proposed model which is shown in Figure.4 and sugeno rules are used to reduce the differential error. Here, In [18] ANFIS learning is two directional learning. Least Square Error learning is used for the forward learning process.…”
Section: A Pv Unitmentioning
confidence: 99%
“…The 5 layer ANFIS structure is used in proposed model which is shown in Figure.4 and sugeno rules are used to reduce the differential error. Here, In [18] ANFIS learning is two directional learning. Least Square Error learning is used for the forward learning process.…”
Section: A Pv Unitmentioning
confidence: 99%
“…These energies include the solar, rain, wind; tides, geothermal heat and various forms of biomass are renewable and can be physically replenished continuously. Wind energy is an attractive source of energy and it represent a great potential for power production and consequently it has been developed and implemented in many countries due to its advantages of clean, safe energy resource and resource abundance [1][2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%