基于高比例可再生能源的废矿抽蓄电站优化配置研究

发展以风光能源为代表的绿色清洁能源已经成为大势所趋,与此同时,随着国家深入推进煤炭去产能进程,大量煤矿被废弃,废矿治理研究颇受重视。为此,首先设计了废矿抽蓄电站的基本结构,对废矿抽蓄电站的运行功率和不同运行工况进行数学建模。在此基础上,以降低废矿抽蓄电站投资成本、矿区配电网系统运维成本及弃风弃光和负荷缺电的惩罚成本为目标,构建了废矿抽蓄电站的优化配置模型。通过混合粒子群和模拟退火算法,对优化配置模型进行求解。基于改进的IEEE 14节点配电网系统建立测试案例,对比不同场景下废矿抽蓄装机容量和接入节点对目标函数的影响,对优化配置模型和算法的有效性进行了分析和验证,确定废矿抽蓄电站的装机容量和选址等相关参数。

Optimal configuration of abandoned mine pumped storage power station based on high proportion of renewable energy

The development of green and clean energy represented by wind and photovoltaic energy has become the trend of the times.At the same time,as the country deepens the process of coal de-capacity,a large number of coal mines have been abandoned,and research on waste mine management has received much attention.To this end, this paper firstly designed the basic structure of the abandoned mine pumped storage station,and mathematically modeled the operating power and different operating conditions of the abandoned mine pumped storage station. On this basis,aiming at reducing the investment cost of abandoned mine pumped storage station,the operation and maintenance cost of mine distribution network system,and the penalty cost of abandoned wind and photovoltaic shortage and load shortage,the optimal configuration model of abandoned mine pumped storage station was constructed.The optimized configuration model is solved by a hybrid particle swarm and a simulated annealing algorithm.Based on the improved IEEE 14-node distribution network system, the test cases are established.The effects of the installed capacity of the waste mine and the access node on the objective function in different scenarios are compared.The effectiveness of the optimized configuration model and algorithm is analyzed and verified.Relevant parameters such as installed capacity and site selection of abandoned mine pumped storage station.#$NLKeywords: abandoned mine pumped storage station; mine distribution network system; optimized configuration; wind and photovoltaic energy