RT Journal Article
A1 Chenwen Cheng
A1 Peng Cheng
A1 Heng Nian
A1 Dan Sun

PB iet
T1 Model predictive stator current control of doubly fed induction generator during network unbalance
JN IET Power Electronics
VO 11
IS 1
SP 120
OP 128
AB This study proposes a model predictive stator current control (MPSCC) strategy of doubly fed induction generator (DFIG) under unbalanced grid voltage conditions. Sinusoidal and balanced stator currents injected into the power grid can be ensured due to the direct control of stator currents rather than rotor currents. Model predictive control instead of traditional vector control is adopted, which can increase the current loop bandwidth and obtain faster dynamic responses. Conventional resonant regulators such as second-order generalised integrators or second-order vector integrators that are usually used to eliminate unbalanced components in stator currents can also be avoided. Moreover, both extractions of negative sequence components in rotor or stator currents and calculation of commanded rotor current are avoided, which simplifies the control scheme. The proposed MPSCC strategy can also implement the grid connection by introducing the virtual stator currents without any changes in the control scheme. Finally, experimental results based on a 1 kW lab DFIG system are provided to validate the effectiveness of the proposed control strategy.
K1 DFIG system
K1 unbalanced grid voltage conditions
K1 vector control
K1 power 1 kW
K1 resonant regulators
K1 network unbalance
K1 current loop bandwidth
K1 negative sequence components
K1 balanced stator currents
K1 virtual stator currents
K1 second-order generalised integrators
K1 doubly fed induction generator
K1 rotor currents
K1 dynamic responses
K1 power grid
K1 second-order vector integrators
K1 model predictive stator current control
K1 MPSCC strategy
DO https://doi.org/10.1049/iet-pel.2017.0049
UL https://digital-library.theiet.org/;jsessionid=3mxmsw2ebqg3i.x-iet-live-01content/journals/10.1049/iet-pel.2017.0049
LA English
SN 1755-4535
YR 2018
OL EN