WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 10, 2015
A New Control Strategy to Enhance Lvrt for Doubly Fed Induction Generator
Authors: ,
Abstract: Nowadays renewable energy resources had became more important for dropping the green house gases. Since the renewables installed in utility grid gets increasing, stabilizing the power systems becomes a major issue. For renewables integration into the utility grid, the specific requirement should be placed by the grid operators. Among grid codes issues Low-voltage ride-through (LVRT) is a most important one. In wind power system, for certain period of time the power converters are demanded by grid codes to remain coupled with grid in the event of voltage drop. In this paper a new modified computational intelligence based control strategy is proposed to enhance the LVRT capability of grid connected doubly fed induction generators (DFIG). To support grid voltage during and after the fault, wind turbine (WT) should supply reactive power to the grid which is the world–wide requirement of grid codes. To protect the rotor side converter from grid faults a conventional crowbar-based systems were used, but this method fail to fulfill the requirement since DFIG acts as squirrel cage machine during the connection of crowbar and it absorbs reactive power from the grid. This makes to design a control system without using crowbar. In order to overcome the drawbacks mentioned above, this paper proposed the new coordinated control strategy of DFIG converters which can manage to ride-through the fault without any secondary hardware. This is achieved by using fuzzy logic controller which is tuned properly by genetic algorithms. The result will prove that our proposed method is much effective.
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Keywords: Fuzzy logic control, low voltage ride through (LVRT), Doubly fed induction generator (DFIG), RSC and GSC, power systems faults
Pages: 135-144
WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 10, 2015, Art. #15