Power management strategy combining energy storage and demand response for microgrid emergency autonomous operation

This paper presents a power management strategy for microgrid emergency autonomous operation subsequent to unplanned islanding events. The proposed approach is composed of two coordinated scheduling stages operating in different time-frames to accommodate the uncertainty and variability associated with renewable generations as well as forecasting errors, and combines distributed generations, energy storage systems and demand side management techniques to ensure secure and stable microgrid autonomous operation. A scenario dependent rule-based approach is adopted for scheduling the microgrid resources which is computationally efficient and particularly suitable for microgrids with limited number of resources. Case study on a grid-connected microgrid test system based on IEEE 13-node distribution feeder demonstrates the effectiveness of the proposed approach in microgrid frequency regulation following an unplanned islanding events.