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A platform for research: civil engineering, architecture and urbanism
DIRECT ADAPTIVE FUZZY PROPORTINAL INTEGRAL STRATEGY FOR A COMBINED MAXIMUM POWER POINT TRACKING-PITCH ANGLE CONTROL OF VARIABLE SPEED WIND TURBINE
Now a days, many researchers are focussing on renewable energy sources due to the fact that the cost of fuel is growing up in day to day activity and to decrease or limit environmental effects. Among renewable energy sources, photovoltaic, steam, and wind energies are listed while the focus of this work is wind energy. Wind energy is one of the fastest growing up energy source due to its cost effectiveness and about 15% of world wind can satisfy the need of electricity of the world according to the researchers. In this work, direct adaptive fuzzy proportional integral strategy for a combined maximum power point tracking (MPPT)-pitch angle control of variable speed wind turbine is proposed. Among different techniques of MPPT, tip speed ratio MPPT method is chosen here. The basic idea of the proposed MPPT technique is to retrieve the optimal generator reference speed for any instantaneous value of the wind speed during partial load region and a pitch angle control is activated to regulate the generator output power or speed in the case of full load region. The other contribution of this thesis is that instead of conventional PI controller, adaptive fuzzy PI controller is employed which decreases the dependency on system parameters significantly. Permanent magnet synchronous generator (PMSG) is selected for wind turbine due to its self-excitation property which allows operation at high power factor and efficiency. The effectiveness of the proposed system is tested through a computer simulation. The software used to test the effectiveness of the proposed system is MATLAB/Simulink. The outcomes of the system through the proposed system are compared to the results of the system by conventional controller and shows better result.
DIRECT ADAPTIVE FUZZY PROPORTINAL INTEGRAL STRATEGY FOR A COMBINED MAXIMUM POWER POINT TRACKING-PITCH ANGLE CONTROL OF VARIABLE SPEED WIND TURBINE
Now a days, many researchers are focussing on renewable energy sources due to the fact that the cost of fuel is growing up in day to day activity and to decrease or limit environmental effects. Among renewable energy sources, photovoltaic, steam, and wind energies are listed while the focus of this work is wind energy. Wind energy is one of the fastest growing up energy source due to its cost effectiveness and about 15% of world wind can satisfy the need of electricity of the world according to the researchers. In this work, direct adaptive fuzzy proportional integral strategy for a combined maximum power point tracking (MPPT)-pitch angle control of variable speed wind turbine is proposed. Among different techniques of MPPT, tip speed ratio MPPT method is chosen here. The basic idea of the proposed MPPT technique is to retrieve the optimal generator reference speed for any instantaneous value of the wind speed during partial load region and a pitch angle control is activated to regulate the generator output power or speed in the case of full load region. The other contribution of this thesis is that instead of conventional PI controller, adaptive fuzzy PI controller is employed which decreases the dependency on system parameters significantly. Permanent magnet synchronous generator (PMSG) is selected for wind turbine due to its self-excitation property which allows operation at high power factor and efficiency. The effectiveness of the proposed system is tested through a computer simulation. The software used to test the effectiveness of the proposed system is MATLAB/Simulink. The outcomes of the system through the proposed system are compared to the results of the system by conventional controller and shows better result.
DIRECT ADAPTIVE FUZZY PROPORTINAL INTEGRAL STRATEGY FOR A COMBINED MAXIMUM POWER POINT TRACKING-PITCH ANGLE CONTROL OF VARIABLE SPEED WIND TURBINE
ABRHAM TADESSE KASSIE (author) / Prof. Venkata L.N.K. (author)
2019-02-08
doi:10.20372/nadre:1549617198.0
Theses
Electronic Resource
English
DDC:
690
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