With the development of the electricity market

the concept of nodal marginal electricity price has permeated the distribution network side. Based on electricity price information rational guidance of users can be achieved. Meanwhile

mobile energy storage (MES) can act as a third-party independent operator

achieving profitability through the price differences of nodal marginal electricity different time periods

thereby improving the economic efficiency of distribution network operation. Therefore

a scheduling strategy for MES based on nodal marginal electricity price guidance is proposed. First

based on sensitivity calculation considering network

a linear operation model of the flexible distribution network (FDN) is established; then

a bi-level pricing guidance model is constructed with the objectives of maximizing MES profit and FDN operation cost; finally

the efficient solution of the model is achieved based on the Karush-Kuhn-Tucker (KKT) conditions and the theory of equilibrium constrained programming. Case study results show that the proposed method can effectively guide MES output

significantly improving the distribution network operation level while achieving MES operator profitability. Under normal operation scenarios

it can the total FDN operation cost by 5.14%; under fault scenarios

it can increase the load recovery rate to 98.07% and reduce the power supply cost by 39.1%. This strategy provides an effective solution for synergistically improving MES profitability and the economic efficiency and reliability of the distribution network.