This paper addresses the special requirements for high-reliability power supply and wartime energy scheduling in military base distribution grids, proposing a priority equipment-to-microgrid (P2M) collaborative optimization method tailored for military applications. By establishing the active power loss reduction index (PLR) and reactive power loss reduction index (QLR), and combining them with the dynamic constraints of electric equipment charging and discharging in military scenarios, the stability, reliability, and resilience of military base microgrids under complex loads during wartime are enhanced. An improved Most Valuable Player (MVP) algorithm is adopted, with the objectives of minimizing load variance, PLR, and QLR, to achieve multi-objective collaborative planning for the charging and discharging of electric equipment in the military base distribution network. Simulations are based on the standard IEEE 69 bus system. Comparative experiments show that under peak shaving and valley filling mode, the proposed method can reduce load variance by 29.2%, with power loss index optimization efficiency superior to traditional algorithms (such as GA and PSO), and computation time reduced to 113 seconds, significantly improving the response speed of power dispatch during wartime. Additionally, through a priority scheduling strategy, military vehicles with low battery levels can be charged first, while vehicles with high energy levels dynamically feed power back into the microgrid, effectively alleviating peak load pressure during wartime and ensuring stable power supply to critical facilities. The research findings provide theoretical support and technical pathways for the intelligent management of energy systems and emergency power supply.