Ultra-high-penetration distributed photovoltaics （PV） in distribution networks pose significant challenges, including severe reverse power flow overloads and voltage violations. Addressing the strong coupling characteristics between active-reactive power （P/Q） and voltage under complex network impedances of distribution networks, a active-reactive power coordinated voltage support optimization method is proposed. This method achieves multi-objective collaborative optimization operation of distributed renewable energy and energy storage, balancing low operational costs with high power quality. Firstly, a rolling optimization method for three-phase power flow voltage model predictive control （MPC） based on active-reactive power coupling is proposed. Via a multi-period voltage MPC framework, the number of decision variables and constraints is effectively reduced, which improves solution efficiency while ensuring solution accuracy and achieves fast solution of the online voltage control problem. Furthermore, a pre-iterative method based on fixed-point iteration is proposed for the strongly coupled three-phase power flow model. By distributing multi-step iterations across the rolling optimization horizon, the solution accuracy is significantly improved without increasing the number of per-step iteration. Finally, the effectiveness of the proposed control system in suppressing voltage exceeding limits is verified by integrating an IEEE 13-node system with ultra-high-penetration PV.