Artificial intelligence-based nonlinear control of renewable energies and storage system in a DC microgrid.

To minimize the global warming and the impact of greenhouse effect, renewable energy sources-based microgrids are widely studied. In this paper, the control of PV, wind-based renewable energy system and battery, supercapacitor-based energy storage system in a DC microgrid have been presented. Maximum power points for PV and wind have been obtained using neural network and optimal torque control, respectively.

SHORT COMMUNICATION-Pattern of anti-tuberculosis drugs susceptibility in new and previously treated tuberculosis patients and environmental risk factors investigation.

Resistance pattern both in newly and previously treated-TB patients and risk factors associated in spread of tuberculosis are investigated in the current study. A total 244 Mycobacterium tuberculosis isolates were used for drug-susceptibility test against four drugs. Environmental risk factors were assessed by using self-designed history proforma.