Day‐Ahead Scheduling for Dynamic Distribution Network Configuration Optimization Considering Reconfiguration Frequency Constraints

As distributed energy resources (DERs) penetration increases, complex power flows lead to challenges such as voltage violations, system congestion, and increase of distribution loss. To effectively address these issues and enhance energy efficiency, an hourly dynamic system configuration optimization method is essential, as traditional annual and seasonal approaches fail to respond to the rapid fluctuations in power flow driven by weather conditions. In this paper, we present a dynamic system configuration optimization method from the perspective of a distribution system operator. Utilizing mixed‐integer linear programming, the proposed method optimizes both the configuration and timing of reconfigurations while satisfying the reconfiguration frequency constraint to respond to the fluctuating power output from photovoltaic sources. This approach aims to minimize distribution losses and avoid system congestion and voltage violations. Through numerical experiments conducted on a three‐feeder distribution system model, we demonstrate that by considering the average lifespan of switch devices to be three times per day on average, the proposed method can avoid system congestion and voltage violations. Moreover, it can reduce the distribution loss by 5.7% compared to the current method during the system period. This approach offers a cost‐effective alternative to traditional infrastructure upgrades, supports the integration of renewable energy sources, and enhances grid efficiency.