Abstract
This paper presents a new control strategy using model-based predictive current control (MB-PCC) for a doubly fed induction machine (DFIM) driven by an indirect matrix converter (IMC). This strategy proposes the control of rotor currents, whose references are calculated from active and reactive stator power set points and the dynamic model of the DFIM. The control strategy works well in the four P-Q operating regions of the DFIM. The grid synchronization process is carried out by setting the P-Q power set points to zero. The results include the DFIM synchronization procedure as well as the active and reactive power control at variable shaft speed to validate the feasibility of the proposed strategy.
Highlights
INTRODUCTIONAccording to the International Energy Agency, by 2018 the share of electricity generation in the world by renewable and waste sources (including hydro), was on track to reach coal as the main source of electricity, and had already surpassed
This paper proposes an improved model predictive rotor current strategy, when compared to the one in [11], to indirectly control the doubly fed induction machine (DFIM) active and reactive power, including the synchronization process to the grid, within a single scheme
The setup is a variable-speed wind energy conversion systems (WECS) formed by a DFIM driven by an indirect matrix converter (IMC)
Summary
According to the International Energy Agency, by 2018 the share of electricity generation in the world by renewable and waste sources (including hydro), was on track to reach coal as the main source of electricity, and had already surpassed. This paper proposes an improved model predictive rotor current strategy, when compared to the one in [11], to indirectly control the DFIM active and reactive power, including the synchronization process to the grid, within a single scheme. The setup is a variable-speed WECS formed by a DFIM driven by an IMC This strategy controls the DFIM in all four operating regions, MBPC controls the rotor currents with a reference calculated from the dynamic model of the DFIM and the IMC in terms of the rotor speed and position, the grid voltage characteristics, and the power set points. Experimental results are presented from a 5.5 kW test rig to validate the method
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