【摘要】 由于可再生能源的不断发展，电网对各种能源存储技术的需求日益增长，通过提出一种利用废弃矿区建立含重力储能的混合储能系统解决新能源消纳的问题。以年均系统成本最小化为目标建立微电网容量优化配置模型，通过分析含风力发电机、光伏组件、蓄电池和重力储能装置的微电网各发电单元特性，并采用改进粒子群优化算法对该模型进行优化求解。算例结果表明，该模型提高了系统的经济性，系统负荷缺电率等可靠性指标也得到了明显提升。更多还原

【Abstract】 Due to the continuous development of renewable energy sources, the demand for various energy storage technologies in power grids is increasing. By proposing a hybrid energy storage system with gravity storage using abandoned mines to solve the problem of new energy consumption, the capacity optimization model of the microgrid was established with the objective of minimizing the annual average system cost, and the characteristics of each power generation unit of the microgrid containing wind turbine, photovoltaic module, battery and gravity energy storage device were analyzed, and the model was optimally solved by using an improved particle swarm optimization algorithm. The results of the algorithm show that the model improves the economy of the system, and the reliability indexes such as the system load outage rate are significantly improved.更多还原