This paper investigates the long-term dynamic capacity expansion planning in the microgrids. The microgrid is supplied by various capacity resources including wind, solar, micro gas turbine, and energy storage system. The microgrid also supplies an electric vehicle charging station. The electric vehicles in the charging station work as vehicle-to-grid and they are able to send energy to the microgrid or regulate their charging time and rate. As a result, the charging station may appear as a flexible load or generating unit. The capacity expansion planning in the microgrid is performed to expand the capacity of micro turbine, solar panels, wind turbine, and battery energy storage system. This capacity expansion is performed for six-years planning horizon through long term plan. The short-term plan is simultaneously conducted to optimize the hourly operation of micro turbine, energy storage system, and electric vehicle charging station. Short-term operation of dispatchable resources reduces the planning cost to 28% and properly contributions to the long-term plan for minimizing the costs. The largest expansion is performed on wind system by 200% expansion that covers about 53% of the expansion cost. The model also needs further resources when facing the uncertainties and such reinforcement increases the cost by about 58%.

本文研究了微电网中的长期动态容量扩展计划。微电网由各种容量资源提供，包括风能，太阳能，微型燃气轮机和能量存储系统。微电网还为电动汽车充电站供电。充电站中的电动汽车就像车辆到电网一样工作，它们能够向微电网发送能量或调节其充电时间和速率。结果，充电站可以表现为柔性负载或发电单元。执行微电网中的容量扩展计划以扩展微涡轮机，太阳能电池板，风力涡轮机和电池储能系统的容量。通过长期计划，此容量扩展将在六年的计划范围内进行。同时执行短期计划以优化微型涡轮机，储能系统和电动汽车充电站的每小时运行。可分配资源的短期运营将计划成本降低到28％，并适当地为长期计划做出了贡献，以将成本降至最低。最大的扩展是在风电系统上进行200％的扩展，覆盖约53％的扩展成本。当面对不确定性时，该模型还需要更多资源，而这种增强会使成本增加约58％。最大的扩展是在风电系统上进行200％的扩展，覆盖约53％的扩展成本。当面对不确定性时，该模型还需要更多资源，而这种增强会使成本增加约58％。最大的扩展是在风能系统上进行200％的扩展，这大约占扩展成本的53％。当面对不确定性时，该模型还需要更多资源，而这种增强会使成本增加约58％。