风光热储互补发电系统容量配置技术研究
Research on capacity configuration technology of wind-solar-thermal-storage complementary power generation system
路小娟 1白建聪 1范多进 2张志勇2
作者信息
- 1. 兰州交通大学自动化与电气工程学院,甘肃 兰州 730070
- 2. 兰州交通大学研究院光热储能综合能源系统工程研究中心,甘肃 兰州 730070
- 折叠
摘要
针对无常规电源支撑的风光热储互补发电系统,协调规划装机容量对提高发电系统运行经济性和利用率具有重要意义.提出了一种双层优化配置方法,上层以最小度电成本及弃电率为目标,确定系统装机容量;下层以新能源发电消纳最大为目标,解决功率分配问题.通过反复迭代寻优,得到系统容量配置;然后;通过纳什谈判对优化结果进行选择;最后,对甘肃河西地区数据进行仿真分析.结果表明:风光热储互补发电系统最优容量配置下的度电成本为 0.306 4 元/(kW·h);风电场加光伏电站装机容量与光热电站装机容量的最优比为6:1,对比相同装机容量的风光互补发电系统,风光热储互补发电系统具有更高的稳定性.
Abstract
For the wind-solar-thermal-storage complementary power generation system without conventional power supply support,coordinated planning of installed capacity is of great significance to improve the operation economy and utilization rate of the power generation system.A two-layer optimal configuration method is proposed.The upper layer determines the installed capacity of the system with the minimum levelized cost of energy and the abandonment rate as the goal.The lower layer aims to maximize the consumption of new energy power generation and solve the problem of power distribution.The system capacity configuration is obtained by iterative optimization.Then,the optimization results are selected through Nash negotiation.Finally,the simulation analysis is carried out with the data of Hexi area in Gansu Province.The results show that,the levelized cost of energy is 0.306 4 yuan under the optimal capacity configuration of the wind-solar-thermal-storage complementary power generation system.The optimal ratio of the installed capacity of the wind farm plus photovoltaic power station to the installed capacity of the photothermal power station is 6:1.Compared with the wind-solar hybrid power generation system with the same installed capacity,the wind-solar-thermal-storage complementary power generation system has higher stability.
关键词
容量配置/风电场/光伏电站/光热电站/互补发电/双层规划Key words
capacity configuration/wind farm/photovoltaic power station/solar-thermal power station/complementary power generation/bi-level programming引用本文复制引用
基金项目
国家自然科学基金项目(52266012)
甘肃省科技重大专项(20ZD7GF011)
甘肃省科技重大专项(22ZD6GA063)
甘肃省高校产业支撑计划项目(2022CYZC-34)
出版年
2024
国家科技期刊平台
NSTL
万方数据