The voltage source-based STATCOM is a shunt-connected controller to control the reactive current injection. To increase the power transfer capability, the STATCOM is employed at the midpoint of long transmission line. This paper discusses the performance of various controlling methods used for reactive current control. The PI controller and nonlinear feedback controller are the commonly used controllers. The inductive mode of operation of STATCOM with PI controller causes oscillatory instability. Nonlinear feedback controller is opted for maintaining the stability during inductive operation. But it requires parameter optimization as an essential tool to enhance the transient response. This paper presents fuzzy knowledge-based approaches for reactive current control of STATCOM. The data required to compute artificial neural network-based FLC controller is obtained from the reactive current of the STATCOM using PI controller. The performances of Type 1 fuzzy and neuro fuzzy-based system are evaluated by transient simulation for two-level, 12-pulse STATCOM. It is observed that the STATCOM with adaptive neuro fuzzy inference system (ANFIS) controller has comparatively better transient response for the step change in the reactive current reference.


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    Title :

    Performance Evaluation of Knowledge-Based Reactive Current Controllers for STATCOM


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:


    Publication date :

    2021-08-21


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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