摘要
储能技术可被用作缓解大规模可再生能源并网压力的有效手段,可解决风能、太阳能等可再生能源发电不连续、不可控的难题。本文基于北盘江流域光伏电站的相关特点,研究了北盘江流域不同储能模式的优化配置,利用电化学储能与氢储能相结合的混合储能优化北盘江流域光伏运行,并以储能系统净现值成本最小为目标函数,以储能系统容量及充放电最大功率为约束,对不同类型储能装置的经济效益进行分析,并进行优化配置,基于HOMER Pro软件运行分析得出最优储能容量配置后,根据贵州省现行的价格标准,对其经济性分为发电侧、电网侧及融资租赁模式多应用场景进行分析,得出各应用模式下的经济效益及营收模式,为该地区光伏电站配置储能的实际应用提供了有价值的解决方案。
Energy storage technology provides an efficient way to relieve strain on power grids caused by the integration of large-scale renewable energy sources.It also addresses the challenges posed by the intermittent and unpredictable nature of power generation from wind and solar energies.This study examines the most efficient way to store energy in the photovoltaic power stations of the Beipanjiang River basin,considering their specific traits.To enhance the operation of photovoltaic systems in this region,a combination of electrochemical and hydrogen energy storage is utilized.The primary goal is to minimize the net present value cost of the energy storage system,with the capacity of the energy storage system and the maximum power for charging and discharging acting as constraints.The economic advantages of various energy storage devices are analyzed and optimized.Utilizing HOMER Pro software for operational analysis,optimal energy storage capacity configuration is determined.The economy is then divided into power generation side,power grid side,and financial leasing mode under multiple application scenarios based on the current price standards in Guizhou Province.This segmentation helps obtain economic benefits and revenue models under each application mode.This approach provides a practical solution for energy storage configurations in photovoltaic power stations in the region,offering significant value.
作者
张楚
陈栋才
陈湘萍
蔡永翔
ZHANG Chu;CHEN Dongcai;CHEN Xiangping;CAI Yongxiang(School of Electrical Engineering,Guizhou University,Guiyang 550025,Guizhou,China;Electric Power Research Institute,Guizhou Power Grid Co.,Ltd,Guiyang 550002,Guizhou,China)
出处
《储能科学与技术》
CAS
CSCD
北大核心
2024年第6期2078-2088,共11页
Energy Storage Science and Technology
基金
国家自然科学基金项目(51867007)。
关键词
储能技术
电化学储能
氢储能
容量配置
多应用场景
energy storage technology
electrochemical energy storage
hydrogen energy storage
capacity configuration
multiple application scenarios
