International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 08 Issue: 04 | Apr 2021
p-ISSN: 2395-0072
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A Review on Wind Power Generation using Neural and Fuzzy Logic Rajani Ratrey1, Mr. Salik Ram Dewangan2 1P.G.Student,
Dept. Of Electrical Engineering, Rungta College of Engineering, Bhilai, CG., India Professor, Dept. Of Electrical Engineering, Rungta College of Engineering, Bhilai, CG., India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract: Alternative energy sources have become a these advantages in wind power generation area, new necessity for the socio-economic growth of a country; control strategies should be designed, by taking into fossil fuels are declining and by increasing the power account all the parts of the system such as the grid, the demand, the world is on the edge of a global energy structure complexity of the DFIG (doubly fed induction crisis. Furthermore, due to the widespread use of generator) with respect to the quality of the energy to traditional energy sources, this creates pollution and be generated. In the absence of suitable control of the global warming effects on the environment. In the light produced active and reactive powers many problems of this, renewable energy such as the wind and solar may appear when the generator is connected to the energy are highly significant and viable solution in order grid, such as, low power factor and harmonic pollution. to fulfil power demand, due to its low operating costs Several designs and arrangements have been and available in bulk quantities which make it investigated by using predictive functional and internal exploitation beneficial for the development of any mode controllers, where satisfactory results in power country. Besides that, for over the past decades, the response compared with those of the traditional researchers have been working on this enormous methods, using a conventional PI (Proportional challenge. In this review article, we put forward a wideIntegral) controller. However, these new methods are ranging and significant research conducted on the statehard to implement, due to their complicated structures. of-the-art control methodologies for wind energy Among control objectives of WECSs (wind energy systems. Therefore, author’s main aim is to ensure up-toconversion system) much work has been achieved in date knowledge of wind energy control techniques for the control of variable speed TSR (Time Speed Ratio) the research community and can be considered for and/pitch controlled wind turbines with the main goal future directions. In the available literature, we have to bring them to the optimum operating point for summarized numerous wind turbine control techniques maximum power conversion. Many control schemes with their performance. Furthermore, prospective future has been proposed for this purpose [9e13]. Adaptive advancements and gaps have also been examined control, which is a promising approach since it comprehensively, and omissions of other researchers are provides controllers the ability of learning and autopurely unintentional. adjustment as systems and/or environment change. This feature is particularly useful for DFIGs which are Key words: Wind, Power generation, Neural network, immersed in highly stochastic and varying winds. Fuzzy logic, Review Different adaptive control schemes were proposed for achieving maximum power capture in WECSs , the 1. Introduction: authors proposed an adaptive fuzzy control of a PMSG based wind turbine, which dealt successfully with the In the area of wind power generation systems, where uncertainties in the turbine parameters, in Ref. an the wind speed varies considerably, VSG (variable adaptive control scheme using radial basis function speed generation) is more interesting than fixed speed was proposed, in both works, a sliding supervisory systems. In these systems, a MPPT (maximum power term is introduced, this last can be a source of point tracking) adjusts a system quantity to maximize chattering and complexity, another limitation of this turbine power output. The generator that operates at approach is the boundedness assumptions made on the variable speeds is extremely attractive. So to exploit 2Assistant
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