Robust Optimization of Microgrids - An Application to Taichung Industrial Park

Abstract

Despite a number of studies of a microgrid, robust optimization of a microgrid has not been studied yet. This is critical to a microgrid because it has lots of uncertainties concerning main grid failure, power quality issues, estimates of demand, energy price, regulation change, etc. It is therefore of importance to study and develop robust optimization strategies that take the uncertainty into account at planning a microgrid. The current study aims at developing a robust optimization model for a microgrid which provides set of robust solutions and decision-making procedure for a best solution. The model enables us to consider various uncertainties including energy price, regulation change, and estimates of demand using scenario based approach. The proposed model is validated with Taichung Industrial Park in Taiwan. © 2012 Elsevier B.V.