Wind system using a fixed-speed wind power generation SCIG (Squirrel-cage Induction Generator) tends to drain large amount of reactive power from the grid, potentially causing a drop voltage and perhaps voltage stability conundrum. To improve the SCIG's low voltage ride through (LVRT) characteristics, this paper presents a new control strategy for a variable-speed wind power generation DFIG (Doubly-fed Induction Generator) located closely to the SCIG-based wind system by utilizing the control capability of fuzzy logic technique. The proposed control system regulates effectively reactive power output of the DFIG wind turbine by controlling both grid-side and rotor-side converters to compensate the reactive power absorbed by the SCIG-based wind turbine. The effectiveness of the proposed control strategies is proven by simulation results. These illustrates that the LVRT characteristics and stability margin of the SCIG-based wind system is significantly improved when extra reactive power is compensated from the DFIG wind system in the proximity.

Improving LVRT characteristics in variable-speed wind power generation by means of fuzzy logic

DUONG, MINH QUAN;GRIMACCIA, FRANCESCO;LEVA, SONIA;MUSSETTA, MARCO;ZICH, RICCARDO
2014-01-01

Abstract

Wind system using a fixed-speed wind power generation SCIG (Squirrel-cage Induction Generator) tends to drain large amount of reactive power from the grid, potentially causing a drop voltage and perhaps voltage stability conundrum. To improve the SCIG's low voltage ride through (LVRT) characteristics, this paper presents a new control strategy for a variable-speed wind power generation DFIG (Doubly-fed Induction Generator) located closely to the SCIG-based wind system by utilizing the control capability of fuzzy logic technique. The proposed control system regulates effectively reactive power output of the DFIG wind turbine by controlling both grid-side and rotor-side converters to compensate the reactive power absorbed by the SCIG-based wind turbine. The effectiveness of the proposed control strategies is proven by simulation results. These illustrates that the LVRT characteristics and stability margin of the SCIG-based wind system is significantly improved when extra reactive power is compensated from the DFIG wind system in the proximity.
2014
2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
9781479920723
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/929962
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