Adaptive Damping Control to Enhance Small-Signal Stability of DC Microgrids

This article proposes an adaptive active control approach for damping the low-frequency oscillations in a dc microgrid (DC-MG). The DC-MG is comprised of hybrid power sources (HPSs) formed by parallel set supercapacitor modules and photovoltaic systems. HPS controller includes multiloop voltage adjusting virtual impedance loop current oscillations. augmented to inner controller. An tuning strategy developed adjust coefficient optimally. In process, small-signal analysis used determine initial adjustment coefficient. Subsequently, based on intelligent neural network intended provide accurate online correction coefficient, which passes dependence converter system operating point conditions accommodates different operation conditions. A sensitivity also conducted investigate effects parameters stability. Moreover, mesh carried out examine stability modes whole using proposed scheme. Case studies are demonstrate performance strategy, results verified hardware-in-the-loop (HIL) setup OPAL-RT (OP5600) dSPACE (DS1202) simulators.