本文已被:浏览 1154次 下载 583次
Received:September 30, 2013
Received:September 30, 2013
中文摘要: 可再生能源发电的研究对智能电网建设具有重要意义.研究了含风力发电机、光伏阵列和小型抽水蓄能电站的可再生能源供电系统电源容量优化配置问题.在分析和建立可再生能源发电和储能装置模型的基础上,计及全年风光资源和负荷数据,建立了基于等年值经济成本最小的数学模型,采用遗传算法进行求解.算例结果表明,该方法求得的优化方案具有较强的适应性,可以提高可再生能源发电的能源综合利用率,降低投资成本.
Abstract:The study of renewable energy generation is particularly important to the building of smart grids.The optimization problem of generation capacity of renewable energy power supply system is studied, which includes wind turbine, photovoltaic power station and small pumped storage plant.Based on analyzing and building the models of renewable distributed generation and energy storage, considering the annual data of load, wind and solar resource, the optimal sizing model based on the minimum annual economic cost is built.The generic algorithm is applied to solve this model.The simulation results show that the configuration program obtained in this method has strong adaptability and can improve the comprehensive utilization of energy and reduce redundant investment.
keywords: renewable energy pumped storage optimal configuration comprehensive utilization of energy genetic algorithm
文章编号:20140103 中图分类号: 文献标志码:
基金项目:
Reference text: