A distributed average-based enhanced resilient control for sustainable energy DC microgrids

Abstract

Recent advancements in renewable energy have made it possible to meet the load demand on the grid by utilizing smaller distributed renewable energy resources. However, advanced control techniques are required to eliminate the potential of instabilities caused due to load demand variation, as well as the power generation fluctuations by these renewable sources. Due to intermittent nature of renewable sources, a distributed average-based control is presented with a communication network within small-scale distributed grids with improved DC microgrid (MG) control resilience. Global reference set point is achieved using an average-based estimated correction term by utilizing the communication network structure to converge all the agent nodes to a common agreement. Any link failure or latencies in the communication network may disturb the load balance within generating and load agent nodes of the DC MG. The proposed distributed FIR based filter secondary control aims to improve the resilience of the DC MG control by achieving load sharing and voltage regulation, keeping the main conventional control system unaffected by communication link islanding. The effectiveness of the proposed control scheme is substantiated through a detailed study comparing it with existing conventional techniques by presenting mathematical model and experimental simulation results using MATLAB/Simpower tool.