摘要
以风力发电、光伏发电和水力发电等多能互补发电系统输入变量和输出功率为数据源,统计分析风、光、水发电系统不同变量区间的输出功率,提出改进的熵和超熵计算方法,建立风、光、水不同发电系统输出功率云模型,以表征各发电系统输出功率的波动性和离散程度。设计多能互补发电系统耦合度,建立基于耦合度的风-光-水互补发电系统功率云耦合模型,同时,根据风-光-水互补发电系统功率云耦合模型提出功率云相似度指标,评价风、光、水多能互补发电系统输出功率的相关性。最后,应用实例验证了所提方法的有效性和适用性。
In the paper,the power cloud model of a hybrid power generation system is built including wind power,photovoltaic(PV)power and hydro power based on the input-output data.The improved entropy and hyper entropy calculation method is proposed to analyze the fluctuation range and the dispersion degree of the output power quantitatively.The coupled degree is proposed and the coupled model of the hybrid power generation system is put forward based on the coupled degree,and the index of similarity is used to evaluate the relationship between the wind power,PV power and hydro power.Lastly,an applied example is used to prove the effectiveness and applicability of the method.
作者
么艳香
叶林
屈晓旭
王伟胜
范越
YAO Yanxiang;YE Lin;QU Xiaoxu;WANG Weisheng;FAN Yue(College of Information and Electrical Engineering,China Agricultural University,Haidian District,Beijing 100083,China;China Electric Power Research Institute,Haidian District,Beijing 100192,China;State Grid Qinghai Electric Power Company,Xining 810008,Qinghai Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2021年第5期1750-1756,共7页
Power System Technology
基金
国家重点研发计划项目(2017YFB0902200)
国家电网有限公司科技项目(5228001700CW)。
关键词
功率云
多能互补
耦合
耦合度
相关性
相似度
power cloud
hybrid power generation system
coupled
coupled degree
correlation
similarity
