Abstract
This paper investigates a permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS) evaluating various conditions of power flow. The variable parameter reweighted zero-attracting least mean square (VP-RZA-LMS) algorithm is applied to the voltage source inverter (VSI) to account for a variety of power quality problems like compensation of reactive power, power balancing and active power transfer. A Simulink model is developed to validate the same. The proposed control algorithm provides faster convergence speed and is also dependent on a relatively lesser number of parameters.
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Appendix
Appendix
Wind Turbine: Cut in wind speed = 6Â m/s, rated wind speed = 12Â m/s, \(C_{p{\text {max}}} = 0.48\), \(\uplambda _{TSR} = 8.1\), \(C_{1} = 0.5175\), \(C_{2}=116\), \(C_{3}=0.4\), \(C_{4}=5\), \(C_{5}=21\), \(C_{6}=0.0069\), |
PMSG Rating: 5 hp, 230Â V, n = 4, \(R_{s}\) = 1.785Â \(\varOmega \), Stator Phase Inductance = 9.065Â mH |
System Parameters: Boost converter inductance, \(L_{b}=10\)Â mH, DC link capacitance, \(C_{dc}=10,000\, \upmu {\text {F}} \), \(K_{p}=1\), \(K_{i}=0\), \(V_{dc}=700\)Â V, Adaptive filter constant, \(\mu _{n}=0.01\), \(\rho _{n}=0.006\), \(\epsilon =0.002\). |
Interfacing inductance, \(L_{int}=5\)Â mH, 3 phase grid voltage, \(V_{abc}=415\)Â V (rms), \(R_{f}=10\)Â \(\varOmega \), \(C_{f}=10 \,\upmu {\text {F}}\), Sampling time, \(T_{s}=10 \,\upmu \)s. |
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Nazir, M., Hussain, I., Ahmad, A. (2021). Improved Adaptive Control Algorithm of a Grid-Connected PMSG-Based Wind Energy Conversion System. In: Favorskaya, M.N., Mekhilef, S., Pandey, R.K., Singh, N. (eds) Innovations in Electrical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 661. Springer, Singapore. https://doi.org/10.1007/978-981-15-4692-1_13
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DOI: https://doi.org/10.1007/978-981-15-4692-1_13
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