Optimal Day-Ahead Power System Scheduling Considering Linearized Short-Circuit Current Constraints

In this paper, we propose a method for short-circuit current suppression that considers both unit start-stop operations and line switching. By analyzing the physical relationship between the node admittance matrix and the node impedance matrix, as well as the physical significance of node self-impedance, we derive the relationship between line switching, unit start-stop operations, and short-circuit current. Subsequently, we propose a day-ahead optimal scheduling model that incorporates short-circuit current constraints, with the objective of minimizing raw material costs, environmental costs, start-stop costs of generating units, and short-circuit switching costs. Finally, we analyze the impact of this approach on the power quality of the system. The effectiveness and generality of the proposed model are validated using the IEEE 30-node system, and we present a day-ahead scheduling scheme that accounts for unit start-stop operations and line switching.