Abstract
In this paper, a control scheme is proposed based on the fuzzy logic for a hybrid wind-battery power system under dynamic wind speed. The control scheme comprises three controllers such as blade pitch angle (BPA) control; voltage control and switching control. BPA control is utilized for constant wind turbine (WT) torque, voltage control maintains the voltage of the wind energy conversion system (WECS) at the reference voltage and switching control is used for switching between WECS and battery systems efficiently. The entire proposed system is implemented in MATLAB/Simulink. The overall system performance is estimated under dynamic wind speed in terms of WT torque, battery parameters, and duty ratio control of the buck/boost converter. The performance of overall system is found satisfactory under dynamic condition.
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Appendix
Appendix
Blade radius (R) = 4.5 m, Number of blades = 3, Wind speed (V w ) = 9–10 m/s, Air density (ρ) = 1.2 kg/m3, Power Coefficient (C p ) = 0.45, μ 1 = 0.5176, μ 2 = 116, μ 3 = 4, μ 4 = 5, μ 5 , = 21, μ 6 = 0.0068, Stator Phase Resistance (R s ) = 0.4250 O, Inertia (J) = 0.001469 kg m2, Inductance (L d , L q ) = 0.0084 H, Pole pairs = 4.
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Diwaker Pathak, Ankit Gupta, Pachauri, R.K., Chauhan, Y.K. (2017). Autonomous Operation of Wind-Battery Hybrid Power System with Intelligent Power Management Capability. In: Singh, R., Choudhury, S. (eds) Proceeding of International Conference on Intelligent Communication, Control and Devices . Advances in Intelligent Systems and Computing, vol 479. Springer, Singapore. https://doi.org/10.1007/978-981-10-1708-7_37
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DOI: https://doi.org/10.1007/978-981-10-1708-7_37
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