As the proportion of photovoltaic (PV) power in the power system continues to rise, its volatility and uncertainty are becoming increasingly evident. To promote PV utilization while reducing its impact on the power grid, designing and developing a suitable scheduling strategy for the integrated source-grid-load-storage industrial park holds significant practical value. This work constructs an industrial park including a PV power generation system and hydrogen-electric hybrid energy storage system. Two optimization objectives are established: minimizing economic costs and minimizing the fluctuation of purchased power. Based on these objectives, a series of constraints are set, transforming the day-ahead scheduling problem into a mixed-integer linear programming problem. Considering the multi-objective nature of the problem, an adaptive method is proposed, and the CPLEX solver is utilized to solve the problem. The model is validated using a typical daily PV output and load data. The results confirm the effectiveness and feasibility of the proposed day-ahead scheduling model for the industrial park and conduct a comparative analysis of the performance of different scheduling strategies.