This invention discloses a distribution network scheduling optimization method based on an
energy storage system, belonging to the field of power
system optimization and scheduling. With the goal of minimizing photovoltaic curtailment,
load shedding, and the operating costs of mobile
energy storage (MESS), a traffic-distribution network coupled optimization model is constructed. Based on the traffic uncertainty at each time period on the road, a constraint relationship is established between path state variables and driving state variables to simulate the
traffic congestion delay of the MESS, while ensuring sufficient charging and discharging time for the MESS at each node. The
coupling between the transportation network and the distribution network is achieved through the path state variables, driving state variables, and output power of the MESS. Traffic uncertainty is transformed into an opportunity constraint on congestion
delay. By simulating the congestion
delay of the MESS through path state variables and driving state variables, the driving behavior and power scheduling of the MESS are optimized, thereby improving the distribution network's capacity to support
photovoltaic power generation and residential loads.