Distributed robust optimal control and proportional power sharing of distributed generators in DC microgrid/

Abstract

Integration of DC Nanogrids (NGs) with distributed generators (DGs) have seen an unprecedented growth for rural electri cation. Stable and coordinated operation of these NGs needs to meet up many challenges such as interactive power sharing among NGs, distribution losses, economic dispatch (ED) and power transients. Various communication-less control schemes fall short to ful ll these challenges. In this paper, a multi-agent system (MAS) based coordinated control strategy is proposed to provide optimal resource sharing among NGs with minimized distribution losses, ED and an improved load/generation side power transient control for NGC. The system architecture presented in this research consists of a group of NGs/- households, which can operate independently as well as with the coordination of neighboring NGs with minimum distribution/line losses. Further, an optimization based ED problem provides a trade-o between DG power and power shared from neighboring NGs to meet up the load demand of each NG. An improved power transient control for ED problem is achieved by Augmented Lagrangian based proportional integral derivative (PID) controller. A multi-agent communication structure is utilized for distributed coordinated control of NGs. The e ciency of proposed model is validated by various case study scenarios using MATLAB. The results show that ED problem is solved for each NG, which result in an optimal resource sharing considering distribution losses and an improved power transient control in response to the power variations in load/generation side.