Research on Scheduling and Optimizing Operation of External Delivery System Considering Compressed Air and Battery Energy Storage

With the increasing proportion of renewable energy in the power system, how to absorb large-scale uncertainty of renewable energy has become an urgent problem to be solved. Energy storage has the characteristics of flexible regulation and fast response speed, which can effectively mitigate the negative impact of renewable energy fluctuations on the power system. At the same time, compressed air energy storage(CAES) and battery energy storage(BES) have different regulatory capabilities, and the two have good complementary characteristics. This paper first establishes an optimized scheduling model for renewable energy external delivery system. Secondly, the information gap decision theory(IGDT) is used to deal with the uncertainty of wind and photovoltaic power, and different scheduling strategies can be formulated based on the risk preferences of decision-makers. Finally, case analysis verifies the effectiveness of the proposed model. At the same time, increasing the energy storage duration can effectively reduce the cost of the transmission system.