Abstract: With the rapid advancement of new power system construction, the penetration rate of renewable energy in regional grids is continuously increasing. The uncertainty of renewable energy generation combined with the uncertainty of load demand exacerbates power flow fluctuations and highlights significant safety risks. The future grid states are generally constructed base on renewable generation forecasts, load forecasts, and the integration of provincial-regional grid models. Simulation analysis serves as a crucial method for regional grids to identify potential future security risks. However, the operational states of provincial and regional grids may not fully matched, and the switching plans for shunt compensators are typically not maintained. This often leads to non-convergent power flow calculations or power flow results with voltages significantly deviating from normal values, thereby limiting the practicality of future-state power flow simulation tools. To address these issues, an optimization adjustment model is established to obtain convergent power flow with minimal weighted adjustments. This model achieves convergent solutions by adjusting power generation, shedding load, and optimizing reactive power compensations. The maintenance burden for future state construction is reduced. Case studies on the IEEE 118-bus system and a real provincial-regional integrated power grid demonstrate that the proposed method can quickly and reliably obtains convergent power flow solutions with minimal weighted adjustments. Its computational performance meets engineering application requirements.