Main Article Content

Abstract

This paper introduces an intelligent extraction of optimum power and its dispatch by using Ant colony algorithm (ACO) from a grid tied hybrid generation system comprising of a permanent magnet synchronous generator based fuel cell, wind turbine and a low concentration photovoltaic generator. For photovoltaic generator, maximum power point tracking control is implemented using ACO logic under varying solar irradiance. Power extracted from wind turbine is designed as a ACO function of the dc link voltage error, its rate of change and error in the direct axis current of the inverter. This reduces high frequency oscillations in the wind extracted power. Such an extraction is considered as a novelty of this paper. A failure mode and effect analysis is done for power converters and possible mitigation schemes are suggested for different faults. A 1:1 delta wye-grounded transformer is used at the inverter output to eliminate the triplet harmonics. Further, dynamic performances of both ACO proportional-derivative and integral (PD+I) controller and classical proportional integral (ACO) controller, to control the inverter currents, are compared. The proposed method results in an enhanced power dispatch and improvement in distortions and oscillations in the converter currents. This also reduces the probability of failures in the converter switches and other passive components.

Article Details

How to Cite
R. Devarajan, & A.Kumaran. (2019). Stability analysis of hybrid wind and solar system with super capacitor storage . International Journal of Intellectual Advancements and Research in Engineering Computations, 7(2), 3031–3036. Retrieved from https://ijiarec.com/ijiarec/article/view/1214