Controlling and Analysis of Variable Wind Speed Turbine with DFIG Using Fuzzy Logic Controller

Abstract

Wind power is growing source in this era of power generation from renewable sources. In India, the power generation from wind is 32562 MW in July 2017 and target for 2022 is 60,000 MW. The problems in front of controllers are the variable nature of wind speed that changes the output power of generator. Authors present various controllers, which works on different generators as synchronous and asynchronous generators. The proposed work based on using doubly Fed Induction Generators (DFIG) with wind turbine and controlling its various parameters to obtain stability in output active power. To resolve variable speed problem, Fuzzy Logic Controller (FLC) replaces conventional controller. The parameters considered for controlling are rotor speed, grid voltage and rotor voltage. By controlling these parameters active power, reactive power, rotor speed, torque, line current and voltage are controlled. FLC implemented in converter controlling and the DC link Capacitor connected for power sharing. Wide range of FLC provides variation is control parameters as wind speed varies so that the generator receives constant torque and stable rotor speed. The system implemented is of 9MW DFIG generator with 47 MVA/ 230KV load. Wind speed is taken variable form 12 m/s to 16 m/s and system is in pu. The system designed in MATLAB/SIMULINK.

Authors and Affiliations

Jigar Trivedi, Tushar Agarwal

Keywords

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  • EP ID EP388364
  • DOI 10.9790/1676-1205022128.
  • Views 181
  • Downloads 0

How To Cite

Jigar Trivedi, Tushar Agarwal (2017). Controlling and Analysis of Variable Wind Speed Turbine with DFIG Using Fuzzy Logic Controller. IOSR Journals (IOSR Journal of Electrical and Electronics Engineering), 12(5), 21-28. https://europub.co.uk/articles/-A-388364