Day-ahead optimal scheduling of independent DC microgrid with generalized energy storage based on IGDT

Abstract

Energy management and optimal scheduling of microgrid play importent roles in the construction of new power system. It is of great significance to study how to improve the consumption level of renewable energy, and reduce the uncertainty risk of source and load, and optimize the system operation cost. In view of this paper, a day-ahead optimal scheduling model of independent DC microgrid with generalized energy storage based on information gap decision theory (IGDT) is proposed. Firstly, a hybrid energy storage system with super-capacitor is constructed to reduce the operating cost of batteries. The flexible load with the characteristics of 'virtual energy storage' is combined with the hybrid energy storage to form generalized energy storage, giving full play to the characteristics of flexible resources in the microgrid system. Secondly, the uncertainty of the system is considered, and the IGDT model is introduced to establish the robust model under the risk aversion strategy and the opportunity model under the risk speculation strategy based on the deterministic model, so as to pursue the maximization of risk reduction and returns from two decision-making perspectives. Finally, through the simulation analysis of an example, the influence of uncertain factors on system scheduling decision is quantified on the basis of reducing the operating cost of microgrid, and the validity and reference of the model are verified.

Keywords

• independent dc microgrid
• day-ahead scheduling
• information gap decision theory (igdt)
• generalized energy storage
• flexible load
• uncertainty