针对电动汽车充电站投资回报周期长、市场建设积极性不足的问题，提出了一种多约束条件下的充电站优化配置策略，旨在实现运营商利益最大化。首先构建了充电站运营收益-成本分析模型，以运营商利润最大化为目标函数，综合考虑充电服务收入、政府补贴、基础设施建设成本及运营维护费用等因素。在此基础上，引入用户便利性和电网稳定性双重约束条件，建立了充电站服务范围与规模的优化模型，并设计了相应的求解算法。通过北京某区域的实证研究，采用迭代计算方法逐步优化充电站布局，直到运营商盈利达到最大，完成整体规划。实验结果表明，该优化方案可使充电设施利用率提升至90%以上，同时满足区域84%的充电需求，有效验证了模型与算法的实用价值，为充电基础设施的合理布局提供了理论依据和实践指导。

In response to the issues of long investment return cycles for EV (electric vehicle) charging stations and insufficient market enthusiasm for construction, a charging station optimization strategy with multiple constraints was proposed to maximize operators' benefits. An operation revenue-cost analysis model of charging stations was first built. With the goal of maximizing operators' profits, factors like charging service income, government subsidies, infrastructure construction costs, and operation & maintenance costs were considered. Then, with user convenience and grid stability constraints, an optimization model for the service scope and scale of charging stations was established and a corresponding solution algorithm designed. Through empirical research on a Beijing area, an iterative method optimizes the charging station layout until the operator's profit peaks, accomplishing the overall plan. Experimental results demonstrate that this optimization solution can increase charging facility utilization to over 90%, while meeting 84% of the regional charging demand, effectively validating the practical value of the model and algorithm. This research provides theoretical foundations and practical guidance for the rational layout of charging infrastructure.