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Advanced Fuzzy Controller of Fault Analysis in a Grid Tied Hybrid System

Affiliations

  • Electrical and Electronics Engineering, KL University Greenfields, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, India

Abstract


Background/Objectives: This paper focuses on the intelligent extraction of ideal force by utilizing different MPPT techniques and its dispatch from a grid tied hybrid generation system containing a synchronous generator based wind generator and a Photo-Voltaic generator. Methods/Statistical Analysis: Although maximum power point tracking techniques such as Fuzzy Controller and OPPT technique such as PSO algorithm is implemented for PV generator, power extracted from PV system is a fuzzy capacity of the dc joins voltage, its rate of progress and the inverter active current component. This is to reduce high frequency oscillations in the dispatched power obtained from PV generator. Such an extraction of the optimum power is considered as a novelty of this paper. Findings: The performance of this is also verified under different fault conditions which are occurred at place of grid system. And the harmonics caused by this system is reduced by using active power filter. Application/Improvements: The effectiveness of the novel power extraction strategy proposed along with the fuzzy PD+I control of converters results in and brings about an upgraded power dispatch and a reduction in the oscillations of the currents.

Keywords

Electrical Battery Storage Systems (EBSS), Fuzzy Logic Controller (FLC), Squirrel Cage Induction Generator (SCIG).

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