Optimum Interconnected Islanded Microgrids Operation with High Levels of Renewable Energy

Abstract

This paper aims to study the optimal probabilistic energy efficiency horizon of active distribution networks with high penetration of wind power generation considering a variety of possible islanded microgrid (IMG) zones. The penetration of renewable power sources such as wind turbines (WTs) and the load variations can create challenges in the active distribution system that will significantly affect system modeling, power flow algorithm, voltage stability index and system planning. In this regard, an appropriate model for IMGs is suggested, which aims to estimate the voltage stability margin of a two-bus system based on both saddle-node and limited induced bifurcations. Furthermore, a new concept, named reduced IMG network (RIN), is well explored to generalize the proposed index to n-bus islanded MGs using a developed power flow algorithm. The simulated frame work indicates a two-stage probabilistic planning algorithm that considers the variability in load and generation. The proposed algorithm improve voltage stability index and minimize the IMG customers’ interruption. This improvement allow for a time delay in renewing MGs. The performance and effectiveness of the proposed method are tested and verified through the IEEE 33-bus test system across different case studies.