Power System Evolution with Synergy of Multiple Energy Storage Planning Technologies

Multiple types of long-term storage paves a promising way for the decarbonization of energy systems, by increasing renewable accommodations and providing operational flexibility in power systems. Nevertheless, comprehensive academic research into the power system evolution planning problems can enhance the precision of planning outcomes. However, power system evolution planning problems considering different types of storage technologies are largely unexplored. To this end, this paper proposes a power system evolution planning model considering multiple types of long-term storage technology. First, the influence of operating voltage and power on multiple energy storage is thoroughly considered to model its dynamic characteristics on power systems. Then, a comprehensive operational model of the storage device is established to reflect its multi-state transition dynamics as a mixed integer linear programming (MILP) problem. Furthermore, the influence of renewable integration and electricity demand of various scenarios in our power system evolution model is also analyzed. Case studies in a modified IEEE 118-bus test system demonstrate: 1) our model can mitigate the overestimation in capacity planning of the multiple types of storage devices, and 2) more renewable energy and less load will result in less investment in long-term storage and the load has a more significant influence.