Wind farm node connected DFIG/back-to-back converter coupling transient model for grid integration studies. (December 2015)

• Record Type: Journal Article
• Authors: Ostolaza, J.X.; Etxeberria, A.; Zubia, I.
• Is Part Of: Energy conversion and management. Volume 106(2016)
• Page Start: 428
• Page End: 439
• Publication Date: 2015-12
• Subjects: Wind power generation -- DFIG wind generator full-order transient model -- Wind farm node Thevenin impedance -- Grid and rotor side converter multi-loop control -- Decoupling control -- Operational modes of the generator; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2015.09.063
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: Full-order DFIG/B2B coupling transient model to the connection of wind farm node. Algebraic loop between stator and filter currents due to transformer is overcome. A novel decoupling based control design of grid-side converter is presented. 24 state-variables describe the DFIG: 15 electro-mechanical, plus 9 for control. State machine implements the sequential control among its operational modes. Abstract: This paper presents the explicit electromagnetic transient model of a Doubly Fed Induction Generator (DFIG), that includes its coupling with the back-to-back converter, when the generator/converter set is connected to the wind farm's Thevenin equivalent, as seen from DFIG's terminals. Besides that, DFIG's grid side converter control system is defined in detail, so that expressions for the direct tuning of all compensators are provided. The overall electromechanical wind generator model includes 24 state variables: four mechanical, eleven electrical, and nine more – one for each controller – associated to the control system. The developed model is complemented with a state machine that implements the sequential control among the different stages that define its operational modes. Simulation and experimental results show that the developed model is able to predict the behaviour of the generator in short and long term scenarios.