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Variable step Learning Based Control Algorithm for Power Quality in PMSG Based Power Generation System

Publication Type : Conference Paper

Publisher : IEEE International Conference

Source : IEEE International Conference PIICON 2016, IEEE, Bikaner, India (2016)

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Keywords : Adaptive control algorithms, Custom Power device, DSTATCOM, Electric inverters, Learning algorithms, Power generation systems, Power quality, Power quality problem, Quality control, Reactive power, Static synchronous compensators, Synchronous generators, Variable step size, Voltage control, Voltage regulators, Voltage source inverter, Wind power, Wind turbine modeling, Wind turbines

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2016

Abstract : In this article, Power generation system model includes a turbine model of wind system, PMSG model, and a Simulink model of drive train. The generated power through the wind power plant is fed to three phase linear and non-linear load. The power electronics based shunt connected custom power devices are used to suppress the power quality problems at constant speed turbine. The objective of this paper is to compensate harmonic and reactive power due to non-linearity of loads and maintained rated voltage at the point of common interface (PCI). This shunt connected compensator as a DSTATCOM is controlled through variable step learning based adaptive control algorithm. The simulation waveforms show the satisfactory performance of PMSG System and the control algorithm.

Cite this Research Publication : A. Patel, Arya, S. Raj, and Anjana Jain, “Variable step Learning Based Control Algorithm for Power Quality in PMSG Based Power Generation System”, in IEEE International Conference PIICON 2016, Bikaner, India, 2016.

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