Optimal Planning of Energy Storage Using a Sequence Representative Period Method

Due to the increasing penetration of renewable energy sources, the system requires more energy storage capacity to relieve the pressure on peak shaving. Developing more flexible and rational approaches to energy storage capacity planninng is becoming increasingly important. This paper proposes a novel two-stage optimal planning model for energy storage based on a sequence representative period approach, which takes into account the uncertainty of wind power and load, as well as short-term intra-day operation mechanisms. The approach relies on a temporal sequence of each day and adds coupling constraints related to long-term scheduling among representative days in order to incorporate a long-term strategy on short-term operation. Case studies on revised IEEE 14-bus test systems are performed to verify the validity of the proposed model and approach.