Open AccessPower Quality Improvement in Grid Connected DFIG-Wind System using ANFIS
Author(s) -
P. Vijaya and R. Raghunadha Sastry
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst060925
Subject(s) - adaptive neuro fuzzy inference system , control theory (sociology) , wind power , maximum power point tracking , controller (irrigation) , grid , turbine , stator , power (physics) , converters , rotor (electric) , computer science , matlab , voltage , engineering , inverter , electrical engineering , fuzzy control system , control (management) , fuzzy logic , mechanical engineering , agronomy , physics , geometry , mathematics , quantum mechanics , artificial intelligence , biology , operating system
This paper proposes a concept of ANFIS based DFIG controller to variable speed wind turbine system forpower smoothening. Power fluctuations due to the unpredictable nature of the wind are eliminated byintroducing battery energy storage system in the dc link between two back-to-back connected voltage sourceconverters. The design of BESS is presented for feeding regulated power to the grid irrespective of the windspeeds. The control algorithm of the grid-side converter is implemented with ANFIS for feeding regulatedpower to the grid. Rotor-side converter is controlled for achieving MPPT and unity power factor operation atthe stator terminals. And also to improve the efficiency of WECS an MPPT controller is proposed in this paper.The ANFIS based DFIG system is to be implement in MATLAB.