Aiming at the problem of formulating and optimizing capacity configuration schemes for multi-energy complementary power sources during the planning and design phase of hydro-wind-solar-storage clean energy bases, this paper constructs a comprehensive platform architecture and technical system. First, it sorts out data resources and model algorithms to establish a digital-intelligent business platform integrating functions like power source topological relation setting, multi-scenario simulation, and visualized analysis of simulation results. Taking a typical hydro-wind-solar-storage base in a river basin as a case study, the research verifies the platform's applicability through comparative analysis of configuration schemes under different energy complementarity scenarios, providing quantitative decision support for optimal capacity allocation.