为了解决西部矿区在全生命周期内负荷动态演化与可再生能源出力时空错配造成的消纳困难和供需不平衡问题，对井工煤矿能源系统开展全生命周期动态配置研究。基于矿井建设、开采前期、开采中期和开采后期4个阶段的生产组织，构建计及矿区多阶段负荷演化特性的能源系统配置模型，建立包含光伏、电储能、制冷机组及外部电热供给的多阶段混合整数线性规划模型，以设备投资、运维、外部购能和碳排放成本构成的全生命周期综合成本最小为目标，优化光伏、储能及电网一次侧设备容量，并通过典型日负荷与分年扩容决策刻画矿区源荷随时间的演化规律。以西部某典型井工煤矿为算例，设置传统静态一次性配置和全生命周期动态配置2种场景进行对比。结果表明：动态配置通过在关键年份分阶段扩容光伏与储能，使光伏平均配置容量和可再生能源渗透率显著提高，电网一次侧设备配置规模得到抑制，在开采中期基本实现“光伏+储能”替代火电供能，全周期弃光率明显降低。与静态配置相比，动态配置场景的全生命周期总成本降低约17.9%，碳排放成本降低约50.2%。研究表明，全生命周期动态配置方法能够在满足矿区安全供能前提下兼顾经济性与低碳性，为西部矿区乃至类似高耗能工业园区的清洁能源系统规划提供理论依据与工程参考。

To address the problems of renewable energy accommodation and supply–demand imbalance caused by the dynamic evolution of load demand over the life cycle of western mining areas, a life-cycle dynamic configuration method for the energy system of underground coal mines is investigated. Based on the production organization in the construction, early-stage mining, mid-stage mining and late-stage mining periods, a multi-energy coupling framework for electricity–heat–cooling is constructed to reflect the differences between above-ground and underground loads. A multi-stage mixed-integer linear programming model is developed, which integrates photovoltaic (PV) generation, electrical energy storage, chillers and external power/heat supply. The objective is to minimize the total life-cycle cost consisting of investment, operation and maintenance, purchased energy and carbon emission costs by optimally sizing PV, energy storage and primary network equipment, and by representing the temporal evolution of source–load relationships through typical-day load profiles and year-by-year capacity expansion decisions. A typical western underground mine is used as a case study, and two scenarios are compared: traditional static one-shot configuration and life-cycle dynamic configuration. The results show that the dynamic configuration increases the average installed PV capacity and renewable penetration through staged PV and storage expansion in key years, while restraining the required capacity of primary network equipment and substantially reducing curtailment over the whole life cycle. Compared with the static configuration, the dynamic configuration reduces the total life-cycle cost by about 17.9% and the carbon emission cost by about 50.2%. The proposed life-cycle dynamic configuration method can satisfy secure energy supply for mining areas while balancing economic performance and low-carbon goals, and it provides a technical reference for planning clean energy systems in western mining areas and similar energy-intensive industrial parks.