R. K. Patnaik

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A new detection method for DC line faults in a voltage source Converter based three terminal high voltage DC (VSC-MTDC) systems is proposed in this paper. A three-terminal MTDC model is used to investigate fault behavior and detection of type of fault and the dc line of the model where fault has occurred using the simulation program MATLAB/SIMULINK. The(More)
Local Binary Pattern (LBP) has been the successful feature descriptor used for face recognition. The basic idea in this method is to convert from an intensity space to an order space where the order of neighboring pixels is used to create a monotonic change illumination-invariant code for each point in the image. A drawback for this method, however, is(More)
This paper proposes a new feedback linearization control strategy for the grid-connected voltage source converter (VSC). The instantaneous power components at the VSC terminal are being utilized as its dynamic variables. It is due to fact that, as these power components can be directly computed from the three-phase instantaneous voltage and current(More)
A new morphological filter based disturbance detection and classification technique for DFIG wind farm based micro grid has been proposed in this paper. The structuring element based mathematical morphology with an efficient de-noising characteristics, accurately estimates the signal characteristics and thus is a striking technique for development of the(More)
An adaptive second order sliding mode control strategy is proposed for of the Series Synchronous Static Compensator (SSSC) of the Unified Power Flow Controller (UPFC) which is installed in a multimachine power network penetrated with a Doubly Fed Induction Generator (DFIG) based wind power. The proposed controller utilizes the instantaneous power components(More)
This paper proposes an efficient islanding detection and classification technique based on the Extreme Learning Machine (ELM) algorithm for the wind farm based distributed generation (DG) connected to a power grid. In regard to design of any classification technique, learning time is a vital aspect to be considered. Thus having inherited with a good(More)
This paper proposes a pattern recognition based differential spectral energy protection scheme for ac microgrids using a Fourier kernel based fast sparse time-frequency representation (SST or simply the sparse S-Transform). The average and differential current components are passed through a change detection filter, which senses the instant of fault(More)
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