Abstarct: Recently, with the growth of distributed generation sources, the tendency to use microgrids, especially DC microgrids, has increased. In a DC microgrid, constant power loads have a negative resistance effect on the DC bus, it leads to reducing the stability margin and ultimately reducing the DC voltage. With regard to dynamic change of constant power loads has a significant effect on DC voltage fluctuations, so the analysis of small signal stability in a DC network is very important. The main focus of this thesis is study the small signal stability in DC microgrid baxsed on the power converter for various load types. To study the stability of the DC microgrid, a comprehensive small signal model is used for the converters in microgrid. The eigenvalues analysis is done by using the state space model in microgrid for different loads, Also the analysis of the small signal stability in the microgrid is performance baxsed on the changes of the eigenvalues. The results of the analysis of the special values show the relationship between the system stability and various factors in the DC microgrid, including the DC load factor, the droop coefficient, the line parameters, etc. Tracking of eigenvalues shows that constant power loads have a more negative effect than resistance loads on system stability. The impedance model of the DC bus voltage control units is achieved baxsed on the droop control coefficient and constant power load for the Nyquist analysis and stabilization design. To improve the attenuation performance, a negative virtual impedance has been proposed that can effectively improve system stability and reduce voltage fluctuations. Finally, by using the obtained model, simulation is done in MATLAB/Simulixnk and the effect of the loads, network parameters, and droop coefficient on the stability of the DC microgrid in the time domain is investigated.