To address the issues of increased load fluctuations, rising power losses, and degraded power supply quality caused by large-scale integration of electric vehicles into distribution systems, a priority-based vehicle-to-grid (V2G) coordinated scheduling method is proposed. A multi-objective optimization model is established using load variance, the power loss reduction (PLR) index, and the power loss reduction (QLR) index as key metrics. The most valuable player (MVP) algorithm is employed to obtain optimal charge-discharge schedules that simultaneously smooth the load curve and enhance distribution power quality. A state-of-charge (SOC)-based priority charging and discharging strategy is designed, and the MVP algorithm is used to explore optimal solutions. Comparative analyses with GA, ABC, PSO, CSO, and OCSO algorithms are conducted. The results demonstrate that the proposed method significantly reduces load variations and achieves superior minimization of PLR and QLR, with the maximum reduction in power loss reaching up to 29.20%. It also exhibits higher computational efficiency. Simulations on the IEEE 69-bus radial distribution system verify the effectiveness and robustness of the proposed approach. It is concluded that this method provides a more reasonable set of non-dominated solutions for orderly EV power consumption planning, offering valuable insights for real-time scheduling and the integration of renewable energy.